The Faraday Institution
Lead Research Organisation:
The Faraday Institution
Department Name: Grants Administration
Abstract
Summary
The battery is the most important component of electric vehicles, determining performance, range, vehicle packaging, cost and vehicle lifetime. The automotive industry is a UK success story, employing 814,000 people and turning over £77.5bn per year. The UK is home to Europe's largest automotive battery and EV manufacturer. Our automotive industry is committed to the transition from the internal combustion engine to electric vehicles, preserving and expanding jobs and prosperity. The UK will not succeed if it has to rely on Asian or US supply chains for batteries. It will not succeed by simply catching up with today's lithium batteries. We must leapfrog current technology by carrying out more effectively and at scale basic research in batteries and then translating it more seamlessly into innovation and manufacture. This is the ambition of the Faraday Challenge, announced and funded by government, with its three elements: the Faraday Institution (research), Innovate UK (development) and the Advanced Propulsion Centre (industrialisation). The Faraday Institution, in particular, must invest in the UK science and engineering base so that it drives innovation, delivering leading edge battery technology for Britain.
We propose to establish the Faraday Institute headquarters (FIHQ) as an independent organization, based at Harwell, the centre of UK science, and with a satellite office at the National Battery Manufacturing Development Facility once completed. It will not belong to any University or group of universities, nor be aligned with particular companies. It will be a UK resource. The FIHQ will be governed by an independent board drawn from academia, industry and independents. It will contain an Expert Panel bringing together in one organisation the UK knowledge base in batteries. The Expert Panel will translate industrial needs for better batteries into specific research challenges and scope calls for proposals from the University sector to carry out research to meet these challenges. It will support intellectual leadership to the Research Projects within the universities, review the projects, advise the board on allocation and reallocation of resources and stop/start of projects. Dedicated personnel will work to ensure research with the greatest scope for exploitation is transferred to innovation and ultimately manufacture. Intellectual property will be owned by the universities but pooled, forming a portfolio of battery IP with a value greater than the sum of its parts. The headquarters will run a training programme. This will include are PhD cluster with the students placed in the universities alongside the FI Research Projects but also with a strong cohort ethos across the Faraday institution. Training for industry and government will be a strong element of the FIHQ activities. . By carrying out strategic research in batteries as a nationally managed portfolio and with greater scale and focus, we will not only enhance the quality and capacity of UK battery research, but also establish the UK as the go to place for leading battery technology. By doing so we will supporting the future UK manufacturing industry, jobs and prosperity.
The battery is the most important component of electric vehicles, determining performance, range, vehicle packaging, cost and vehicle lifetime. The automotive industry is a UK success story, employing 814,000 people and turning over £77.5bn per year. The UK is home to Europe's largest automotive battery and EV manufacturer. Our automotive industry is committed to the transition from the internal combustion engine to electric vehicles, preserving and expanding jobs and prosperity. The UK will not succeed if it has to rely on Asian or US supply chains for batteries. It will not succeed by simply catching up with today's lithium batteries. We must leapfrog current technology by carrying out more effectively and at scale basic research in batteries and then translating it more seamlessly into innovation and manufacture. This is the ambition of the Faraday Challenge, announced and funded by government, with its three elements: the Faraday Institution (research), Innovate UK (development) and the Advanced Propulsion Centre (industrialisation). The Faraday Institution, in particular, must invest in the UK science and engineering base so that it drives innovation, delivering leading edge battery technology for Britain.
We propose to establish the Faraday Institute headquarters (FIHQ) as an independent organization, based at Harwell, the centre of UK science, and with a satellite office at the National Battery Manufacturing Development Facility once completed. It will not belong to any University or group of universities, nor be aligned with particular companies. It will be a UK resource. The FIHQ will be governed by an independent board drawn from academia, industry and independents. It will contain an Expert Panel bringing together in one organisation the UK knowledge base in batteries. The Expert Panel will translate industrial needs for better batteries into specific research challenges and scope calls for proposals from the University sector to carry out research to meet these challenges. It will support intellectual leadership to the Research Projects within the universities, review the projects, advise the board on allocation and reallocation of resources and stop/start of projects. Dedicated personnel will work to ensure research with the greatest scope for exploitation is transferred to innovation and ultimately manufacture. Intellectual property will be owned by the universities but pooled, forming a portfolio of battery IP with a value greater than the sum of its parts. The headquarters will run a training programme. This will include are PhD cluster with the students placed in the universities alongside the FI Research Projects but also with a strong cohort ethos across the Faraday institution. Training for industry and government will be a strong element of the FIHQ activities. . By carrying out strategic research in batteries as a nationally managed portfolio and with greater scale and focus, we will not only enhance the quality and capacity of UK battery research, but also establish the UK as the go to place for leading battery technology. By doing so we will supporting the future UK manufacturing industry, jobs and prosperity.
Planned Impact
IMPACT SUMMARY FOR JES
Together with the rest of the Faraday Challenge, the FIHQ will push research through to commercialisation to attract inward investment in the form of two gigafactories (or equivalent) in the UK by 2030 and £10bn's of value for the UK from cell/ pack manufacture.
Firstly, we will develop a better understanding of what industry really needs. Using the close links between the FIHQ and Faraday Challenge Advisory Board, on which the FI Director and Chief Scientist sit, we will ensure better translation of industry needs into UK battery research. Through our expertise we will also inform industry on the latest global developments and suggest where they can be competitive. Secondly, we will strengthen the pipeline from research through scale up to industrialisation, ensuring alignment between the FI, Innovate UK and the APC activities, and thus fostering and accelerating the translation of research into technology and its commercialisation. Thirdly, we will build an accelerated process for commercialisation, recognising that not every innovation needs to pass through the formal chain of research, scale up and industrialisation to reach the market, with its decade-long (at least) timescale. We will build a programme for rapid "spin outs" of promising technology and will offer "spin ins" to UK SMEs - allowing those with promising ideas, but lack of capital, to access our facilities and equipment in order to develop their ideas. Finally, we will develop the capabilities that industry needs. In addition to the research breakthroughs we deliver, an equally important output of the FIHQ is to ensure that we build the knowledge and capabilities in batteries that industry need to be more competitive. We will build better battery capabilities in the UK industrial base through a national training curriculum and coordination for the different institutions to deliver it.
By the end of 2017, we will put processes in place to take action in each of these four areas. We will also develop metrics to chart our progress: estimating the value created by our research (enterprise value of companies/ products, investment, jobs, exports); and tracking the number of people trained up for industry and academia. In addition, as we are the first of the ISCF programmes, we want to share our experience (both successes and missteps) with subsequent ISCF programmes to assist them in developing their own approaches.
Together with the rest of the Faraday Challenge, the FIHQ will push research through to commercialisation to attract inward investment in the form of two gigafactories (or equivalent) in the UK by 2030 and £10bn's of value for the UK from cell/ pack manufacture.
Firstly, we will develop a better understanding of what industry really needs. Using the close links between the FIHQ and Faraday Challenge Advisory Board, on which the FI Director and Chief Scientist sit, we will ensure better translation of industry needs into UK battery research. Through our expertise we will also inform industry on the latest global developments and suggest where they can be competitive. Secondly, we will strengthen the pipeline from research through scale up to industrialisation, ensuring alignment between the FI, Innovate UK and the APC activities, and thus fostering and accelerating the translation of research into technology and its commercialisation. Thirdly, we will build an accelerated process for commercialisation, recognising that not every innovation needs to pass through the formal chain of research, scale up and industrialisation to reach the market, with its decade-long (at least) timescale. We will build a programme for rapid "spin outs" of promising technology and will offer "spin ins" to UK SMEs - allowing those with promising ideas, but lack of capital, to access our facilities and equipment in order to develop their ideas. Finally, we will develop the capabilities that industry needs. In addition to the research breakthroughs we deliver, an equally important output of the FIHQ is to ensure that we build the knowledge and capabilities in batteries that industry need to be more competitive. We will build better battery capabilities in the UK industrial base through a national training curriculum and coordination for the different institutions to deliver it.
By the end of 2017, we will put processes in place to take action in each of these four areas. We will also develop metrics to chart our progress: estimating the value created by our research (enterprise value of companies/ products, investment, jobs, exports); and tracking the number of people trained up for industry and academia. In addition, as we are the first of the ISCF programmes, we want to share our experience (both successes and missteps) with subsequent ISCF programmes to assist them in developing their own approaches.
Organisations
- The Faraday Institution (Collaboration, Lead Research Organisation)
- AMTE Power (Collaboration)
- University of Pisa (Collaboration)
- ICoNiChem Widnes Ltd (Collaboration)
- Foreign Commonwealth and Development Office (FCDO) (Collaboration)
- Technical University of Munich (Collaboration)
- University of Surrey (Collaboration)
- Cosworth (Collaboration)
- Forge Nano (Collaboration)
- Ontwikkelingsmaatschappij Oost Nederland (Collaboration)
- Karlsruhe Institute of Technology (Collaboration)
- Altair Engineering (United Kingdom) (Collaboration)
- University Libre Bruxelles (Université Libre de Bruxelles ULB) (Collaboration)
- Stanford University (Collaboration)
- UNIVERSITY OF BIRMINGHAM (Collaboration)
- United States Environmental Protection Agency (Collaboration)
- Birmingham City Council (Collaboration)
- International Energy Agency (IEA) (Collaboration)
- A.T. Kearney (Collaboration)
- Lancaster University (Collaboration)
- Bruker Corporation (Collaboration)
- Newcastle University (Collaboration)
- Zero Carbon Futures Ltd (Collaboration)
- ESA - ESTEC (Collaboration)
- House of Energy e.V. (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- Horiba (Collaboration)
- Alan Turing Institute (Collaboration)
- IK4-Cidetec (Collaboration)
- Electric Aviation Group (Collaboration)
- Science and Technologies Facilities Council (STFC) (Collaboration)
- Nissan Motor Company (Collaboration)
- Oxford Instruments (United Kingdom) (Collaboration)
- Fraunhofer Society (Collaboration)
- University of Twente (Collaboration)
- Oxis Energy Ltd (Collaboration)
- University of Southern Denmark (Collaboration)
- Emerson & Renwick Limited (Collaboration)
- Her Majesty's Government Communications (Collaboration)
- Cenex (Collaboration)
- Cambridge CleanTech Ltd (Collaboration)
- Linde Group (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- Hitachi (United Kingdom) (Collaboration)
- Britishvolt (Collaboration)
- University of Ghent (Collaboration)
- Nyobolt (Collaboration)
- National Institute for Materials Sciences (Collaboration)
- UNIVERSITY OF LIVERPOOL (Collaboration)
- Exawatt (Collaboration)
- University of Bristol (Collaboration)
- UNIVERSITY OF LEICESTER (Collaboration)
- University of St Andrews (Collaboration)
- Direct Line Group plc (Collaboration)
- TES AMM Singapore Pte Ltd (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- University of California, Davis (Collaboration)
- OXFORD BROOKES UNIVERSITY (Collaboration)
- University of Sussex (Collaboration)
- European Metal Recycling Limited (Collaboration)
- Dassault Group (Collaboration)
- Cummins (Collaboration)
- University of Cincinnati (Collaboration)
- 3 Counties Energy Agency (3cea) (Collaboration)
- Centre for Process Innovation (CPI) (Collaboration)
- COVENTRY UNIVERSITY (Collaboration)
- Royal Institution of Great Britain (Collaboration)
- Altelium (Collaboration)
- Jaguar Land Rover Automotive PLC (Collaboration)
- University of Warwick (Collaboration)
- Imerys Minerals Ltd (Collaboration)
- Rolls Royce Group Plc (Collaboration)
- DIAMOND LIGHT SOURCE (Collaboration)
- UNIVERSITY OF STRATHCLYDE (Collaboration)
- Massachusetts Institute of Technology (Collaboration)
- Talga Technologies Limited (Collaboration)
- AkzoNobel (Collaboration)
- NiTech Solutions Ltd (Collaboration)
- University of Sheffield (Collaboration)
- University of Bath (Collaboration)
- LG Corporation (South Korea) (Collaboration)
- Croda International (Collaboration)
- BBOXX (Collaboration)
- CRANFIELD UNIVERSITY (Collaboration)
- Retriev Technologies (Collaboration)
- Morgan Advanced Materials (Collaboration)
- CORNISH LITHIUM LTD (Collaboration)
- Johnson Matthey (United Kingdom) (Collaboration)
- Arkema (Collaboration)
- UNIVERSITY OF SOUTHAMPTON (Collaboration)
- Agency for Science, Technology and Research (A*STAR) (Collaboration)
- Galway Energy Co-operative (Collaboration)
- The Botswana International University of Science & Technology (Collaboration)
- CDO2 LIMITED (Collaboration)
- Delta Motorsport (Collaboration)
- Dalhousie University (Collaboration)
- Toshiba (Collaboration)
- University of Galway (Collaboration)
- U.S. Department of Energy (Collaboration)
- European Synchrotron Radiation Facility (Collaboration)
- Scottish and Southern Energy (SSE) (Collaboration)
- Fortum (Collaboration)
- De Beers Group (Collaboration)
- Justus Liebig University Giessen (Collaboration)
- Williams Advanced Engineering (Collaboration)
- Repsol (Collaboration)
- UK Battery Industrialisation Centre (UKBIC) (Collaboration)
- Nexeon (Collaboration)
- University of Portsmouth (Collaboration)
- Bekaert (Collaboration)
- Qinetiq (United Kingdom) (Collaboration)
- Veolia Environmental Services (Collaboration)
- National Physical Laboratory (Collaboration)
- Mobile Power (Collaboration)
- Shandong University (Collaboration)
- Lubrizol Corporation (Collaboration)
- Cardiff University (Collaboration)
- Department for Business, Energy & Industrial Strategy (Collaboration)
- AGM Batteries (Collaboration)
- UNSW Sydney (Collaboration)
- Empa - Swiss Federal Laboratories for Materials Science and Technology (Collaboration)
- Granta Design (Collaboration)
- PV3 Technologies Ltd (Collaboration)
- Echion Technologies (Collaboration)
- Nissan Motor Manufacturing Ltd (Collaboration)
- University of Manchester (Collaboration)
- University College London (Collaboration)
- UNIVERSITY OF NOTTINGHAM (Collaboration)
- McGill University (Collaboration)
- TFP Hydrogen Products (Collaboration)
- Xi'an Jiaotong University (Collaboration)
- Finden Limited (Collaboration)
- Thermo Fisher Scientific (United Kingdom) (Collaboration)
- Manchester University (Collaboration)
- Engineering and Physical Sciences Research Council (EPSRC) (Collaboration)
- Ilika (Collaboration)
- StorTera (Collaboration)
- Robinson Brothers (Collaboration)
Publications
Abbott AP
(2021)
FIRG027 - Deep eutectic solvents-The vital link between ionic liquids and ionic solutions.
in The Journal of chemical physics
Abbott AP
(2021)
FIRG005 - Deep eutectic solvents-The vital link between ionic liquids and ionic solutions.
in The Journal of chemical physics
Abbott AP
(2021)
FIRG027 - Deep eutectic solvents-The vital link between ionic liquids and ionic solutions.
in The Journal of chemical physics
Abi Ghaida F
(2023)
FIRG024 - Enzymatic N2 activation: general discussion.
in Faraday discussions
Adeoye HA
(2023)
FIRG014 - Solubility and dissolution kinetics of sulfur and sulfides in electrolyte solvents for lithium-sulfur and sodium-sulfur batteries.
in The Journal of chemical physics
Agier J
(2022)
FIRG007 - Void growth within Li electrodes in solid electrolyte cells
in Acta Materialia
Agier J
(2022)
FIRG026 - Void growth within Li electrodes in solid electrolyte cells
in Acta Materialia
Ahmeid M
(2022)
FIRG005 - A rapid capacity evaluation of retired electric vehicle battery modules using partial discharge test
in Journal of Energy Storage
Ahmeid M
(2022)
FIRG027 - A rapid capacity evaluation of retired electric vehicle battery modules using partial discharge test
in Journal of Energy Storage
Ahmeid M
(2022)
FIRG027 - A rapid capacity evaluation of retired electric vehicle battery modules using partial discharge test
in Journal of Energy Storage
| Title | 3D Dendritic Microstructure (0.1 mA) |
| Description | The Zn||separator||Zn Swagelok cell was scanned in the fresh state as well as after 120-minutes electrodeposition under two different currents (0.1 mA) using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/3D_Dendritic_Microstructure_0_1_mA_/21494019/1 |
| Title | 3D Dendritic Microstructure (0.1 mA) |
| Description | The Zn||separator||Zn Swagelok cell was scanned in the fresh state as well as after 120-minutes electrodeposition under two different currents (0.1 mA) using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/3D_Dendritic_Microstructure_0_1_mA_/21494019 |
| Title | 3D Dendritic Microstructure (0.1 mA) |
| Description | The Zn||separator||Zn Swagelok cell was scanned in the fresh state as well as after 120-minutes electrodeposition under two different currents (0.1 mA) using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/3D_Dendritic_Microstructure_0_1_mA_/21494019 |
| Title | 3D Dendritic Microstructure (0.1 mA) |
| Description | The Zn||separator||Zn Swagelok cell was scanned in the fresh state as well as after 120-minutes electrodeposition under two different currents (0.1 mA) using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/3D_Dendritic_Microstructure_0_1_mA_/21494019/1 |
| Title | 3D Dendritic Microstructure (1 mA) |
| Description | The Zn||separator||Zn Swagelok cell was scanned in the fresh state as well as after 120-minutes electrodeposition under two different currents (1 mA) using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/3D_Dendritic_Microstructure_1_mA_/21494028/1 |
| Title | 3D Dendritic Microstructure (1 mA) |
| Description | The Zn||separator||Zn Swagelok cell was scanned in the fresh state as well as after 120-minutes electrodeposition under two different currents (1 mA) using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/3D_Dendritic_Microstructure_1_mA_/21494028 |
| Title | 3D Dendritic Microstructure (1 mA) |
| Description | The Zn||separator||Zn Swagelok cell was scanned in the fresh state as well as after 120-minutes electrodeposition under two different currents (1 mA) using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/3D_Dendritic_Microstructure_1_mA_/21494028 |
| Title | 3D Dendritic Microstructure (1 mA) |
| Description | The Zn||separator||Zn Swagelok cell was scanned in the fresh state as well as after 120-minutes electrodeposition under two different currents (1 mA) using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/3D_Dendritic_Microstructure_1_mA_/21494028/1 |
| Title | Formation of Zn Dendrites (10 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_10_mA_/21493959/1 |
| Title | Formation of Zn Dendrites (10 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_10_mA_/21493959 |
| Title | Formation of Zn Dendrites (10 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_10_mA_/21493959 |
| Title | Formation of Zn Dendrites (10 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_10_mA_/21493959/1 |
| Title | Formation of Zn Dendrites (6 mA & 1 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_6_mA_1_mA_/21493827 |
| Title | Formation of Zn Dendrites (6 mA & 1 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_6_mA_1_mA_/21493827/1 |
| Title | Formation of Zn Dendrites (6 mA & 1 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_6_mA_1_mA_/21493827/1 |
| Title | Formation of Zn Dendrites (6 mA & 1 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_6_mA_1_mA_/21493827 |
| Title | Formation of Zn Dendrites (6 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_6_mA_/21493785/1 |
| Title | Formation of Zn Dendrites (6 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_6_mA_/21493785/1 |
| Title | Formation of Zn Dendrites (6 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_6_mA_/21493785 |
| Title | Formation of Zn Dendrites (6 mA) |
| Description | Operando observation of dynamic dendritic formation and dissolution within the symmetric Zn||Zn cell was performed with a 4K digital microscope (Keyence VHX-7000, Japan). A 50× objective lens was used to obtain sufficient resolution of ca. 0.5 µm, resulting in a relatively large field of view (FOV) of 5.8 × 4.2 mm2. The image acquisition was synchronized with electrochemical measurements. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/media/Formation_of_Zn_Dendrites_6_mA_/21493785 |
| Title | Nissan LEAF - aged cell - F2 (1st gen) |
| Description | The flat-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_F2_1st_gen_/24256609/1 |
| Title | Nissan LEAF - aged cell - F2 (1st gen) |
| Description | The flat-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_F2_1st_gen_/24256609 |
| Title | Nissan LEAF - aged cell - F2 (1st gen) |
| Description | The flat-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_F2_1st_gen_/24256609 |
| Title | Nissan LEAF - aged cell - F2 (1st gen) |
| Description | The flat-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_F2_1st_gen_/24256609/1 |
| Title | Nissan LEAF - aged cell - F3 (1st gen) |
| Description | The flat-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_F3_1st_gen_/24256627/1 |
| Title | Nissan LEAF - aged cell - F3 (1st gen) |
| Description | The flat-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_F3_1st_gen_/24256627 |
| Title | Nissan LEAF - aged cell - F3 (1st gen) |
| Description | The flat-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_F3_1st_gen_/24256627 |
| Title | Nissan LEAF - aged cell - F3 (1st gen) |
| Description | The flat-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_F3_1st_gen_/24256627/1 |
| Title | Nissan LEAF - aged cell - R2 (1st gen) |
| Description | The rotated-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_R2_1st_gen_/24256642 |
| Title | Nissan LEAF - aged cell - R2 (1st gen) |
| Description | The rotated-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_R2_1st_gen_/24256642/1 |
| Title | Nissan LEAF - aged cell - R2 (1st gen) |
| Description | The rotated-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_R2_1st_gen_/24256642/1 |
| Title | Nissan LEAF - aged cell - R2 (1st gen) |
| Description | The rotated-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_R2_1st_gen_/24256642 |
| Title | Nissan LEAF - aged cell - R3 (1st gen) |
| Description | The rotated-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_R3_1st_gen_/24256663 |
| Title | Nissan LEAF - aged cell - R3 (1st gen) |
| Description | The rotated-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_R3_1st_gen_/24256663 |
| Title | Nissan LEAF - aged cell - R3 (1st gen) |
| Description | The rotated-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_R3_1st_gen_/24256663/1 |
| Title | Nissan LEAF - aged cell - R3 (1st gen) |
| Description | The rotated-aged cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_aged_cell_-_R3_1st_gen_/24256663/1 |
| Title | Nissan LEAF - pristine cell (2nd gen) |
| Description | The pristine cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_pristine_cell_2nd_gen_/24256546/1 |
| Title | Nissan LEAF - pristine cell (2nd gen) |
| Description | The pristine cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_pristine_cell_2nd_gen_/24256546 |
| Title | Nissan LEAF - pristine cell (2nd gen) |
| Description | The pristine cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_pristine_cell_2nd_gen_/24256546/1 |
| Title | Nissan LEAF - pristine cell (2nd gen) |
| Description | The pristine cell was scanned using a Nikon XTH 225 instrument (Nikon Metrology, Tring, UK). The voltage and beam current were set at 200 kV and 150 µA, resulting in a power of 30 W. A cone-beam employing a tungsten target was used with an exposure time of 1 s per projection, and a total of 3185 projections were collected per tomogram with a 0.5 mm Sn filter. The 2028 × 2028 pixels CCD camera detector achieved a voxel resolution of 45 µm with a field-of-view of ca. 91 × 91 mm2. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://rdr.ucl.ac.uk/articles/figure/Nissan_LEAF_-_pristine_cell_2nd_gen_/24256546 |
| Title | Structures of conventional and solid state lithium ion batteries |
| Description | A schematic of a single cell of a conventional, liquid-based lithium-ion battery (LiB) and a solid-state LiB. The conventional LiB comprises an anode composed of a Cu current collector and an active anode material (graphite), a separator soaked in an organic electrolyte, and a cathode composed of a Al current collector and an active cathode material, for example, LiCo2, as shown here. The solid-state LiB comprises a similar cathode, a solid electrolyte, and an anode composed of a Li-ion plate and Cu current collector. The anode-electrolyte interphase (SEI) and cathode-electrolyte interphase (CEI) for both LiBs are represented as pink and blue transparent layers, respectively. The tabs are shown protruding from the top of the current collectors. Both LiB cells show all components as fully lithiated, with directional Li+ movement during (dis)charge indicated with arrows. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2021 |
| URL | https://zenodo.org/record/5013912 |
| Title | Structures of conventional and solid state lithium ion batteries |
| Description | A schematic of a single cell of a conventional, liquid-based lithium-ion battery (LiB) and a solid-state LiB. The conventional LiB comprises an anode composed of a Cu current collector and an active anode material (graphite), a separator soaked in an organic electrolyte, and a cathode composed of a Al current collector and an active cathode material, for example, LiCo2, as shown here. The solid-state LiB comprises a similar cathode, a solid electrolyte, and an anode composed of a Li-ion plate and Cu current collector. The anode-electrolyte interphase (SEI) and cathode-electrolyte interphase (CEI) for both LiBs are represented as pink and blue transparent layers, respectively. The tabs are shown protruding from the top of the current collectors. Both LiB cells show all components as fully lithiated, with directional Li+ movement during (dis)charge indicated with arrows. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2021 |
| URL | https://zenodo.org/record/5013912 |
| Description | The Faraday Institution (FI) brings together research scientists and industry partners on projects with commercial potential that will reduce battery cost, weight, and volume; improve performance and reliability, and develop whole-life strategies including recycling and reuse. It leads 10 major battery research programmes involving 500+ researchers across 27 UK universities and 120+ industrial partners. To October 2023 it has published 730+scientific papers many in high quality journals with a host of international collaborators. As an example of the cutting-edge science it enables, FI researchers at the University of Cambridge have discovered a novel cathode material for Li-S batteries and have made prototype pouch cells with the highest reported volumetric energy density. The university is spinning out a company to scale and commercialise the technology - which is of interest to aerospace applications. The Faraday Institution is directly training 85 PhDs for UK industrial and academic careers, with an additional 100+ affiliated with its projects, contributing to delivering the skills gap for the green jobs of the future. It has identified 40 inventions, with 7 patents granted and 18 patents filed. It has shaped government policy through 18 Faraday Insights, 13 major reports, and 10 national consultations. Facilitating public engagement with the transition to an electrified future, it has co-hosted 6 Royal Institution events, attracting 300,000 online viewers. Further detail is covered in our annual report, which is available at: https://www.faraday.ac.uk/2022-23-annual-report/ |
| Exploitation Route | The projects and the FI are in increasingly regular contact with commercial partners as legislation and customer demand rapidly moves towards the electrification of various industries. This was borne out during the latest Faraday Battery Challenge Innovate UK funding round in November 2023 where 7 applications based on FI research were successful. https://www.faraday.ac.uk/faraday-institution-battery-research-moves-to-next-stage-of-commercialisation/ Its links with industry continue to grow. To March 2024, the organisation has supported 14 spin-outs, 18 industry fellows & 14 industry sprints. The FI actively manages its projects in terms of IP protection and value creation. The 500+ FI researchers are gaining invaluable training in the electrochemical energy storage field and are a significant resource pool for businesses hoping to expand in this area in the UK. The FI PhD scheme provides an excellent training ground, both in energy storage technologies as well as soft skills and wider industry awareness through delivery of a structured training programme. The second cohort of FI PhD researchers completed their training in the autumn 2023 and a sixth cohort has begun their training. 100% of the first cohort of researchers have secured permanent positions in the battery sector (across academia, industry, policy and spin-outs). The portfolio of FI funded papers is increasing rapidly - with a total of over 730+ published to October 2023. These papers are cited approximately twice as often as would be expected for the field and are published in high quality journals - 91.5% appear in the top quartile journals, with 64.6% in the top 10% of journals. |
| Sectors | Aerospace Defence and Marine Chemicals Communities and Social Services/Policy Digital/Communication/Information Technologies (including Software) Education Electronics Energy Environment Government Democracy and Justice Manufacturing including Industrial Biotechology Transport Other |
| URL | https://www.faraday.ac.uk/2022-23-annual-report/ |
| Description | The four large, multi-disciplinary projects were launched in March 2018, covering solid state batteries and metal anodes, the degradation mechanisms of high nickel chemistries, multi scale modelling of battery systems, and reuse, recycling and the circular economy. These were joined in October 2019 by five large projects researching lithium-sulfur chemistries, next generation electrode design and production, sodium-ion chemistries, and two projects looking at next generation cathode formulations. In April 2021, a tenth project, SafeBatt was initiated, focused on the science of battery safety. These major research programmes involve 500+ researchers from 27 UK universities and their industry partners. Faraday Institution publications are of measurably high quality. The following analysis is to October 2023. 91.5% appear in the top quartile journals, with 64.6% in the top 10% of journals. Notably, 47.5% fall into the top 10% most cited publications worldwide, which serves to raise the UK average Field-Weighted Citation Impact (FWCI) in the research domains in which the Faraday Institution operates (chemistry, materials science, energy, physics, chemical engineering, engineering, environmental science). Faraday Institution publications have 19,601 overall citations, with 26.7 citations per publication on average. Almost half (44.1%) of the published research has international collaborations, spanning over 391 institutions, 39 counties and 6 continents. In the last year the Faraday Institution has further refined an analytical methodology - T-SCAN - to assess early-stage commercialisation potential for each of its research projects. The assessment results in a bespoke approach to commercialisation tailored to each project, the prioritisation of limited resources and the development of consortia that are investment ready. The process has substantial input and support of the academic research teams and industrial partners (where relevant). The assessment is made up of the five components: Technology, Significance, Competition, Action and Investment The FI has also continued to develop and build its strong collaborative links with a wide range of industrial partners. Today, more than 120 companies proactively provide support and direction to the research projects. The FI's projects and commercialisation team maintain active relationships with these companies and leverage their significant expertise and know-how to help accelerate research breakthroughs towards commercial outcome. The organisation is widening its international reach. In 2023 it began leadership of the Ayrton Challenge on Energy Storage (ACES), focused on expanding energy access, facilitating emissions reductions, and supporting energy transitions in emerging economies. As part of ACES it is leading a £5 million R&D programme as part of a wider co-ordinated ACES package of at least £25m across a range of partners for skills development, technology accelerators, and venture and market building activities. 5 small projects were initiated in this area in March 2024. It engages with partners worldwide through the World Bank Energy Storage Partnership, the Shell Foundation, the Global Challenge Research Fund and the Carbon Trust. Alongside its 10 large research projects programmes the FI has an Industrial Fellowship Scheme to promote academic/industrial collaboration. These projects allow for academics to spend between 50-100% of their time working on a specific industry related challenge in collaboration with an industrial partner. The scheme has proven popular, with 18 funded. They are generating results in fields as diverse as quantum magnetometry and particle morphological control, which are of course directly commercially applicable. Additionally, A total of 11 entrepreneurial fellowships have also been awarded to facilitate the creation of new business opportunities that have emerged from FI research programmes and from the broader UK battery research community. These spin-outs - About:Energy, Breathe Battery Technologies, Cognition Energy, Gaussion, Qdot, Solveteq, Illumion, Ionworks, Sention, Taisan Energy and Recovolt are flourishing, growing their staff, attracting investment and launching commercial products. Additionally, Polaron spun out from Imperial College London in January 2024 as a direct result of PhD research on the Multi-scale Modelling project. The organisation also supported battery spinout OXLiD to a £4.2m acquisition by Gelion in November 2023, retaining a significant lithium-sulfur battery portfolio for the UK. The FI has impact outside its main research base, covering engagement, education, technology transfer, and economics and market insights. The FI has established itself as the go-to source of information for battery related topics, with over 160 pieces of news coverage in the FY 2022-23, including tier 1 publication, trade press and online. The FI report UK EV and battery production potential to 2040 was cited in the UK Government news release in July 2023 announcing that Tata Group was siting their gigafactory in the UK. The then Secretary of State for DESNZ said in a Sky News interview it was not only the financial incentives that brought this investment to the UK, but also "our lead in battery research through the Faraday that in the end got Tata, convinced them, to set up the factory here." The popular PhD cohort programme is/has trained 85 researchers. These doctoral candidates undergo a structured programme covering industrial, economic and soft skills alongside their technical training. 100 further PhD researchers are employed on FI projects and funded by partner universities. Additionally, the FI enables over 50 paid undergraduate internships in battery science and engineering each summer. In the policy space, 18 Faraday Insights have been published: evidence-based assessments of the market, economics, commercial potential, and capabilities for energy storage technologies and the transition to a fully electric UK. The insights are concise briefings that aim to help bridge knowledge gaps across industry, academia, and government. It published a major report in April 2023: The role of hydrogen and batteries in delivering Net Zero in the UK by 2050. The FI has engaged with 10 UK government consultations, including most recently the House of Commons Business and Trade Committee inquiry into Batteries for EV Manufacturing. |
| First Year Of Impact | 2018 |
| Sector | Aerospace, Defence and Marine,Chemicals,Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Education,Electronics,Energy,Environment,Government, Democracy and Justice,Manufacturing, including Industrial Biotechology,Transport |
| Impact Types | Societal Economic Policy & public services |
| Description | EP/S003053/1 - CASCADE |
| Amount | £1,138,909 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 08/2022 |
| Description | FIEF006 - APC TDAP |
| Amount | £130,000 (GBP) |
| Organisation | Advanced Propulsion Centre |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 09/2023 |
| Description | FIEF006 - Voltt -- A Database for Battery Ageing Performance Data |
| Amount | £730,000 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2023 |
| End | 02/2025 |
| Description | FIIF001 - FIIF010 Industrial Fellowship: Niobium Based High Power Prototype Batteries Plus - NioProBat+ |
| Amount | £55,243 (GBP) |
| Funding ID | FIIF-010 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 07/2021 |
| End | 07/2022 |
| Description | FIIF003 - Faraday Institution Industrial Fellowship grant |
| Amount | £37,908 (GBP) |
| Funding ID | FIIF-014 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 12/2022 |
| Description | FIIF006 - A fluxgate magnetometer array with noise level < 1pTrms/vHz @ 1Hz |
| Amount | £37,567 (GBP) |
| Funding ID | FIIF-017 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 09/2023 |
| Description | FIIF006 - EPSRC Impact Acceleration Account (IAA) |
| Amount | £49,956 (GBP) |
| Organisation | University of Strathclyde |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 09/2024 |
| Description | FIIF010 - EXtrAPower - Enabling Xtreme Automotive Power; Faraday Battery Challenge Round 5 Innovation: CR&D |
| Amount | £278,330 (GBP) |
| Funding ID | 10042636 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2023 |
| End | 01/2025 |
| Description | FIIF015 - Advanced manufacturing of smart electrodes with designed microstructure for energy applications |
| Amount | £91,819 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 11/2023 |
| Description | FIIF015 - Battery degradation |
| Amount | £445,928 (GBP) |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 03/2025 |
| Description | FIIF015 - Battery manufacturing - Next generation electrodes (Nextrode) |
| Amount | £5,735,767 (GBP) |
| Funding ID | FIRG066 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2023 |
| End | 09/2025 |
| Description | FIIF015 - Development of a prototype machine for novel dry electrode manufacturing for lithium ion batteries |
| Amount | £84,306 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2024 |
| End | 01/2025 |
| Description | FIIF015 - Ion diffusion in electrochemical energy devices |
| Amount | £1,240,776 (GBP) |
| Funding ID | EP/Y009908/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2023 |
| End | 09/2028 |
| Description | FIIF016 - ENERGETIC |
| Amount | € 4,994,860 (EUR) |
| Funding ID | 101103667 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 05/2023 |
| End | 09/2026 |
| Description | FIRG001 - A Facility for Cryo-Enabled Multi-microscopy for Nanoscale Analysis in the Engineering and Physical Sciences (Cryo-EPS) |
| Amount | £10,294,044 (GBP) |
| Funding ID | EP/V007661/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2020 |
| End | 10/2025 |
| Description | FIRG001 - Consolidator Grant |
| Amount | € 2,744,880 (EUR) |
| Funding ID | 866402 |
| Organisation | European Research Council (ERC) |
| Sector | Public |
| Country | Belgium |
| Start | 01/2021 |
| End | 12/2025 |
| Description | FIRG001 - EXtending Interface Science To Atmospheric-pressure Reactions |
| Amount | € 1,500,000 (EUR) |
| Funding ID | 950598 |
| Organisation | European Commission H2020 |
| Sector | Public |
| Country | Belgium |
| Start | 06/2021 |
| End | 07/2026 |
| Description | FIRG001 - Equipment to support Nottingham's Research Fellows |
| Amount | £250,000 (GBP) |
| Funding ID | EP/S017739/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2018 |
| End | 03/2020 |
| Description | FIRG001 - Expanding the Environmental Frontiers of Operando Metrology for Advanced Device Materials Development |
| Amount | £1,026,620 (GBP) |
| Funding ID | EP/T001038/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2020 |
| End | 07/2024 |
| Description | FIRG003 - ATI programme: batch 31 |
| Amount | £1,147,829 (GBP) |
| Funding ID | 46970 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2020 |
| End | 05/2022 |
| Description | FIRG003 - Aerospace Battery design space evaluation and safety verification (AEROBAT) |
| Amount | £2,662,856 (GBP) |
| Funding ID | TS/W000059/1 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 04/2024 |
| Description | FIRG003 - Atomistic and multiscale simulations of next generation energy storage systems |
| Amount | £48,000 (GBP) |
| Organisation | Science and Technologies Facilities Council (STFC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 09/2026 |
| Description | FIRG003 - Atomistic simulation methods for ion conduction in battery materials |
| Amount | £113,200 (GBP) |
| Funding ID | 18000055 Dassault Systemes BIOVIA EPSRC ICASE |
| Organisation | Dassault Group |
| Department | BIOVIA |
| Sector | Private |
| Country | United States |
| Start | 09/2019 |
| End | 09/2023 |
| Description | FIRG003 - Battery Advances for Future Transport Applications |
| Amount | £2,215,494 (GBP) |
| Funding ID | 104428 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2018 |
| End | 03/2021 |
| Description | FIRG003 - Developing the Isothermal Control Platform (ICP) as the Basis of New Proposed Standards for the Testing of Lithium Batteries for Use in Electric Vehicles. |
| Amount | £447,619 (GBP) |
| Funding ID | 105297 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2019 |
| End | 12/2020 |
| Description | FIRG003 - Energy Superhub Oxford: Unlocking scalable solutions for EV charging, battery storage and heat through transmission connection and machine learning |
| Amount | £10,264,979 (GBP) |
| Funding ID | 104779 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2019 |
| End | 06/2022 |
| Description | FIRG003 - Faraday Battery Challenge: Innovation Feasibility Studies, Round 4 |
| Amount | £132,929 (GBP) |
| Funding ID | 100831 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2021 |
| End | 12/2021 |
| Description | FIRG003 - Faraday Battery Challenge: innovation feasibility studies, round 3 |
| Amount | £342,422 (GBP) |
| Funding ID | 28000 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2019 |
| End | 02/2021 |
| Description | FIRG003 - Horizon Europe |
| Amount | € 4,848,048 (EUR) |
| Funding ID | 101069705 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 08/2022 |
| End | 08/2025 |
| Description | FIRG003 - Hybrid Battery Optimisation |
| Amount | £1,878,933 (GBP) |
| Funding ID | 105298 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2019 |
| End | 12/2020 |
| Description | FIRG003 - LiSTAR: Li-Sulphur Technology AcceleratoR |
| Amount | £7,755,737 (GBP) |
| Funding ID | FIRG014 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2019 |
| End | 09/2023 |
| Description | FIRG003 - NEXTRODE - ELECTRODE MANUFACTURING |
| Amount | £15,232,851 (GBP) |
| Funding ID | FIRG015 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2019 |
| End | 09/2023 |
| Description | FIRG003 - Pozibot |
| Amount | £1,843,373 (GBP) |
| Funding ID | 104815 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2019 |
| End | 02/2021 |
| Description | FIRG003 - Thermally OPtimised BATtery system (TOPBAT) Project - Phase 1 |
| Amount | £247,708 (GBP) |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2020 |
| End | 03/2021 |
| Description | FIRG003 - WIZer Batteries |
| Amount | £5,331,325 (GBP) |
| Funding ID | 104427 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2018 |
| End | 03/2021 |
| Description | FIRG005 - A Study on the Safety of Second Life Batteries used in Domestic Battery Energy Storage |
| Amount | £35,000 (GBP) |
| Organisation | Department for Business, Energy & Industrial Strategy |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 08/2021 |
| Description | FIRG005 - ARMD20-1002 - NABCO |
| Amount | £995,449 (GBP) |
| Funding ID | ARMD20-1002 |
| Organisation | Advanced Propulsion Centre |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 09/2021 |
| Description | FIRG005 - Data Gathering and Analysis of Lithium Ion Batteries (DAGA- LiB) |
| Amount | £3,000 (GBP) |
| Funding ID | FITG-FUSE Newcastle 19 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2019 |
| End | 09/2019 |
| Description | FIRG005 - ONE Planet DTP |
| Amount | £5,000,000 (GBP) |
| Funding ID | NE/S007512/1 |
| Organisation | Newcastle University |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2019 |
| End | 08/2027 |
| Description | FIRG005 - Preliminary excel-based model for assessing the environmental impacts of LIB recycling |
| Amount | £3,000 (GBP) |
| Funding ID | FITG-FUSE-047C |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2020 |
| End | 09/2020 |
| Description | FIRG005 - Project Title: Envision - Newcastle University Pipeline |
| Amount | £40,000 (GBP) |
| Funding ID | FI Training 1902 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2020 |
| End | 06/2021 |
| Description | FIRG005 - Recovery and recycling of PVDF binder from EV battery LIBs |
| Amount | £108,210 (GBP) |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 09/2026 |
| Description | FIRG005 - Sankey Diagram of material and energy flows of the EV lithium-ion battery life cycle |
| Amount | £3,000 (GBP) |
| Funding ID | FITG-FUSE-047A |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2020 |
| End | 09/2020 |
| Description | FIRG007 - What lies beneath? New multimodal platforms for operando characterisation of buried interfaces in working batteries. |
| Amount | £634,000 (GBP) |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2019 |
| End | 06/2022 |
| Description | FIRG011 - Experimental Design Award (STFC Batteries) Operando NAP-XPS Study of the Solid/Electrolyte Interfaces in Li-ion Batteries |
| Amount | £6,000 (GBP) |
| Organisation | Science and Technologies Facilities Council (STFC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 04/2020 |
| Description | FIRG011 - High Entropy Sulfides as Corrosion Resistant Electrocatalysts for the Oxygen Evolution Reaction |
| Amount | £312,320 (GBP) |
| Funding ID | EP/W033348/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2022 |
| End | 12/2023 |
| Description | FIRG011 - STFC Experimental Design Award: Online Electrochemical Mass Spectrometry probe for connecting in-situ battery studies at Diamond and ISIS |
| Amount | £8,000 (GBP) |
| Organisation | Science and Technologies Facilities Council (STFC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 11/2020 |
| Description | FIRG011 - iCASE studentship with JM: Probing the chemical degradation of cathode material interfaces in Li-ion Batteries |
| Amount | £116,928 (GBP) |
| Funding ID | 20000108 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 10/2024 |
| Description | FIRG013 - A Relativistic Electron Diffraction and Imaging (RUEDI) Facility for Structural Dynamics on the Femtosecond Timescale |
| Amount | £3,258,626 (GBP) |
| Funding ID | EP/W033852/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2021 |
| End | 11/2023 |
| Description | FIRG013 - An Aberration Corrected STEM with Integrated Science Driven AI to Quantify Dynamic Functionality in Advanced Energy Technologies and Biomaterials |
| Amount | £4,847,945 (GBP) |
| Funding ID | EP/V05385X/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 09/2023 |
| Description | FIRG013 - NANODENDRITE (MSCA Fellowship to Dr Daniel Martin-Yerga) |
| Amount | £187,445 (GBP) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 09/2021 |
| End | 09/2023 |
| Description | FIRG014 - Horizon Europe: OPERA project - Development of Operando Techniques and Multiscale Modelling to Face the Zero-Excess Solid-state Battery Challenge (Dr Qiong Cai, WP lead on ML-assisted Multiscale Modelling) |
| Amount | € 5,000,000 (EUR) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 05/2023 |
| End | 06/2026 |
| Description | FIRG014 - Lithium Metal Electrode High Throughput Screening (LiMHiT) |
| Amount | £514,551 (GBP) |
| Funding ID | 98841 |
| Organisation | University of Oxford |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 08/2022 |
| Description | FIRG014 - Royal Society Researcher Exchange: Dilithium phthalocyanine derivatives as electrolyte additives for Li-metal batteries |
| Amount | £12,000 (GBP) |
| Funding ID | IEC/NSFC/211200 |
| Organisation | The Royal Society |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 03/2024 |
| Description | FIRG015 - Deposition technologies for rapid dry electrode coating - Sheffield |
| Amount | £127,442 (GBP) |
| Funding ID | FITG028-C |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 09/2024 |
| Description | FIRG015 - In-situ templating of structured electrodes - King's College London |
| Amount | £135,540 (GBP) |
| Funding ID | FITG034 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 09/2024 |
| Description | FIRG015 - Industry Fellowship |
| Amount | £50,000 (GBP) |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2023 |
| End | 10/2024 |
| Description | FIRG015 - Manufacturing and Characterisation of Multi-material Structured Electrodes - Birmingham |
| Amount | £127,442 (GBP) |
| Funding ID | FITG032 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 09/2024 |
| Description | FIRG015 - Next Generation Electrodes - Nextrode |
| Amount | £5,735,767 (GBP) |
| Funding ID | FIRG066 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2023 |
| End | 09/2025 |
| Description | FIRG015 - NextCell - Next generation cell design |
| Amount | £246,184 (GBP) |
| Funding ID | FIRG071 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2024 |
| End | 03/2025 |
| Description | FIRG015 - Parameterisation of electrode slurries for coating optimisation |
| Amount | £618,120 (GBP) |
| Funding ID | FIIF021 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2023 |
| End | 05/2024 |
| Description | FIRG015 - Predicting electrode microstructure: micro-mechanical modelling for low/no solvent processing technology |
| Amount | £107,991 (GBP) |
| Funding ID | FITG044 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 09/2025 |
| Description | FIRG015 - Rational optimisation of calendering processes |
| Amount | £116,308 (GBP) |
| Funding ID | FITG062 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 09/2026 |
| Description | FIRG015 - Solvent-less processing of battery electrodes |
| Amount | £108,210 (GBP) |
| Funding ID | FITG053 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 09/2026 |
| Description | FIRG015 - Xerode - Dry Printing Technology Accelerator |
| Amount | £121,434 (GBP) |
| Funding ID | FIRG054 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 04/2022 |
| End | 05/2023 |
| Description | FIRG017 - Engineering cathode particle (in-)homogeneity through Secondary Electron Hyperspectral Imaging, PI Dr Cornelia Rodenburg |
| Amount | £125,000 (GBP) |
| Funding ID | FITG028-B |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 09/2024 |
| Description | FIRG017 - Exploiting the anion Chemistry of solids for Future Advanced Functional Materials: Core-to-Core Project on Mixed Anion Research for Energy Conversion |
| Amount | £1,023,098 (GBP) |
| Funding ID | EP/T027991/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 09/2025 |
| Description | FIRG017 - FUSE (Faraday Undergraduate Summer Experience) - Exawatt |
| Amount | £1,166 (GBP) |
| Funding ID | FITG-FUSE-081 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2022 |
| End | 09/2022 |
| Description | FIRG017 - FUSE (Faraday Undergraduate Summer Experience) - Finden |
| Amount | £1,666 (GBP) |
| Funding ID | FITG-FUSE-081 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2022 |
| End | 09/2022 |
| Description | FIRG017 - FUSE (Faraday Undergraduate Summer Experience) - University of Sheffield - Electric Car Outreach Project |
| Amount | £1,666 (GBP) |
| Funding ID | FITG-FUSE-081 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2022 |
| End | 09/2022 |
| Description | FIRG017 - FUSE (Faraday Undergraduate Summer Experience) - University of Sheffield - FITG-FUSE120 |
| Amount | £3,562 (GBP) |
| Funding ID | FITG-FUSE120 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2023 |
| End | 09/2023 |
| Description | FIRG017 - FUSE (Faraday Undergraduate Summer Experience) 2022 - University of Cambridge |
| Amount | £3,500 (GBP) |
| Funding ID | FITG-FUSE-083 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2022 |
| End | 09/2022 |
| Description | FIRG017 - FUSE (Faraday Undergraduate Summer Experience) 2023 - Cambridge University - FITG-FUSE119 |
| Amount | £3,562 (GBP) |
| Funding ID | FITG-FUSE119 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2023 |
| End | 09/2023 |
| Description | FIRG017 - FUSE (Faraday Undergraduate Summer Experience) 2023 - Finden and University of Sheffield - FITG-FUSE161 |
| Amount | £3,562 (GBP) |
| Funding ID | FITG-FUSE161 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2023 |
| End | 09/2023 |
| Description | FIRG017 - FUSE (Faraday Undergraduate Summer Experience) 2023 - Imperial College London FITG-FUSE121 |
| Amount | £3,925 (GBP) |
| Funding ID | FITG-FUSE121 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2023 |
| End | 09/2023 |
| Description | FIRG017 - FUSE (Faraday Undergraduate Summer Experience) 2023 - WMG - FITG-FUSE122 |
| Amount | £3,562 (GBP) |
| Funding ID | FITG-FUSE122 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2023 |
| End | 09/2023 |
| Description | FIRG017 - FUSE Summer Studentship - Functional block copolymer binders for enhanced cathode conductivity (2020) |
| Amount | £2,992 (GBP) |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2020 |
| End | 10/2020 |
| Description | FIRG017 - FUSE Summer Studentship - FutureCat - 3 FUSE students (Outreach Primary x1, Lab Training video x1, TEA x1) |
| Amount | £9,180 (GBP) |
| Funding ID | FITG FUSE-053 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2021 |
| End | 09/2021 |
| Description | FIRG017 - FUSE Summer Studentship - GITHUB coding (Cambridge University) |
| Amount | £2,992 (GBP) |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2020 |
| End | 10/2020 |
| Description | FIRG017 - FUSE Summer Studentship 2021 - 1x Outreach - Secondary School resources |
| Amount | £3,060 (GBP) |
| Funding ID | FITG-FUSE-071 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2021 |
| End | 09/2021 |
| Description | FIRG017 - Faraday Battery Challenge - Feasibility Study - NiTech and University of Sheffield |
| Amount | £350,000 (GBP) |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2023 |
| End | 02/2024 |
| Description | FIRG017 - Faraday Funded PhD Studentship - October 2021 Cohort - Warwick Manufacturing Group |
| Amount | £107,991 (GBP) |
| Funding ID | FITG039 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 10/2024 |
| Description | FIRG017 - Faraday Industrial Fellowship Grant - Exawatt |
| Amount | £48,656 (GBP) |
| Funding ID | FIIF-011 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2021 |
| End | 07/2022 |
| Description | FIRG017 - Faraday Industrial Fellowship Grant - Finden |
| Amount | £53,776 (GBP) |
| Funding ID | FIIF-009 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 04/2021 |
| End | 04/2023 |
| Description | FIRG017 - Improving accessible Li-ion cathode capacity through morphological control, PI Rebecca Boston |
| Amount | £125,000 (GBP) |
| Funding ID | FITG028 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 09/2024 |
| Description | FIRG017 - Mechanosynthesis of Energy Materials |
| Amount | £539,236 (GBP) |
| Funding ID | EP/X040305/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2023 |
| End | 10/2026 |
| Description | FIRG017 - PV3 Industry Fellowship with FutureCat |
| Amount | £50,282 (GBP) |
| Funding ID | FIIF-004 Industrial Fellowship |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 11/2020 |
| End | 09/2022 |
| Description | FIRG017 - Studentship PhD Faraday funded - Lancaster University - October 2021 |
| Amount | £107,991 (GBP) |
| Funding ID | FITG038 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 10/2024 |
| Description | FIRG018 - FUSE2021 Internship |
| Amount | £3,060 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2021 |
| End | 09/2021 |
| Description | FIRG018 - FUSE2022 Internship |
| Amount | £3,500 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2022 |
| End | 09/2022 |
| Description | FIRG018 - Faraday Undergraduate Summer Experiences (FUSE) studentship |
| Amount | £350,000 (GBP) |
| Funding ID | FITG-FUSE-091 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2022 |
| End | 08/2022 |
| Description | FIRG018 - HIPERCARB - High performance hard carbon composites for Na-ion |
| Amount | £124,189 (GBP) |
| Funding ID | 10007478 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 08/2022 |
| Description | FIRG018 - High performance Wide spectral range Nanoprobe (HiWiN) |
| Amount | £745,943 (GBP) |
| Funding ID | EP/V00767X/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 01/2024 |
| Description | FIRG018 - Royce Y5 Small Equipment Fund |
| Amount | £282,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2021 |
| End | 04/2021 |
| Description | FIRG023 - GENESIS (Generating Energetic Novel cells and Systems Inspired by Software) |
| Amount | £1,019,831 (GBP) |
| Funding ID | 10007488 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 08/2022 |
| Description | FIRG023 - Power-Up (Power cell Upscaling project) |
| Amount | £849,872 (GBP) |
| Funding ID | 10007479 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2021 |
| End | 07/2022 |
| Description | FIRG024 - New Biomass Anode Technology and Silicon Electrodes with high Energy Density (New BATSEED) |
| Amount | £2,953,988 (GBP) |
| Funding ID | 10044823 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 03/2025 |
| Description | FIRG024 - PA0028 - Understanding the chemical degradation of nickelate battery materials PA0028 |
| Amount | £87,000 (GBP) |
| Funding ID | PA0028 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2021 |
| End | 09/2021 |
| Description | FIRG024 - Roll-2-Roll (R2R) Manufacture Of Multilayer Solid-state Batteries |
| Amount | £1,250,000 (GBP) |
| Funding ID | EP/Y008278/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2024 |
| End | 01/2027 |
| Description | FIRG024 - UKRI FLF: Looking below the surface: Revealing Interfacial Reactions for Sustainable Electrochemical Technologies |
| Amount | £1,886,266 (GBP) |
| Funding ID | MR/V024558/1 |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 03/2026 |
| Description | FIRG025 - Battery modelling research project |
| Amount | £356,976 (GBP) |
| Organisation | BP (British Petroleum) |
| Sector | Private |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 12/2023 |
| Description | FIRG025 - Impact Acceleration Account |
| Amount | £75,077 (GBP) |
| Funding ID | EP/X52556X/1 |
| Organisation | Imperial College London |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 03/2024 |
| Description | FIRG025 - PhD on Battery Passports using Distributed Ledger Technology (PI Jacqueline Edge, CoIs Billy Wu, Greg Offer) |
| Amount | £90,000 (GBP) |
| Organisation | Imperial College London |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 02/2023 |
| End | 08/2026 |
| Description | FIRG025 - ReLib III |
| Amount | £1,200,000 (GBP) |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 03/2025 |
| Description | FIRG025 - SpeComBat (Specialised Commercial Batteries) |
| Amount | £356,644 (GBP) |
| Funding ID | 10006364 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2021 |
| End | 03/2022 |
| Description | FIRG025 - The HIgh Silicon content anOdes for a solid state batteRY Project [The HISTORY Project] |
| Amount | £5,675,052 (GBP) |
| Funding ID | 10040711 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 02/2025 |
| Description | FIRG026 - Iron Fluoride Soli State Project |
| Amount | £223,597 (GBP) |
| Organisation | Nissan Motor Company |
| Sector | Private |
| Country | Japan |
| Start | 03/2021 |
| End | 12/2021 |
| Description | FIRG026 - Iron Fluoride Solid State Project |
| Amount | £223,597 (GBP) |
| Organisation | Nissan Motor Company |
| Sector | Private |
| Country | Japan |
| Start | 03/2021 |
| End | 12/2025 |
| Description | FIRG026 - Joint research with University of Oxford on Li-metal anode/non-lithiated cathode all solid state batteries |
| Amount | £3,929,124 (GBP) |
| Organisation | Nissan Motor Company |
| Sector | Private |
| Country | Japan |
| Start | 11/2022 |
| End | 10/2025 |
| Description | FIRG026 - LiMHiT |
| Amount | £688,339 (GBP) |
| Funding ID | 98841 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 08/2022 |
| Description | FIRG026 - Solid glass electrolytes for Li-metal batteries |
| Amount | £29,628 (GBP) |
| Funding ID | 2599358 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 09/2025 |
| Description | FIRG027 - 21ENGBIO: Engineering Biology for Integration with Deep Eutectic Solvents |
| Amount | £100,787 (GBP) |
| Funding ID | BB/W01307X/1 |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 12/2022 |
| Description | FIRG027 - CEHP - Crystal Engineering for High Power Li-ion Batteries |
| Amount | £103,455 (GBP) |
| Funding ID | FIIF-007 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2021 |
| End | 03/2023 |
| Description | FIRG027 - Developing a Hierarchical Task Execution Framework for Automatic Disassembly of Electrical Vehicle Battery Pack |
| Amount | £107,992 (GBP) |
| Funding ID | 1002157 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 09/2025 |
| Description | FIRG027 - Faraday Undergraduate Summer Experiences (FUSE) studentships - ReLIB |
| Amount | £33,660 (GBP) |
| Funding ID | 1001990 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2021 |
| End | 09/2021 |
| Description | FIRG027 - Overcoming legal obstacles to facilitate the safe and effective robotic disassembly of lithium-ion batteries |
| Amount | £5,624 (GBP) |
| Funding ID | 1002709 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2021 |
| End | 03/2022 |
| Description | FIRG027 - Recycling Of Li-ion Batteries 3 |
| Amount | £4,980,705 (GBP) |
| Funding ID | FIRG057 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 03/2025 |
| Description | FIRG027 - Recycling of high power titanate/niobate based anodes |
| Amount | £108,000 (GBP) |
| Funding ID | FITG045 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 09/2025 |
| Description | FIRG027 - Robotic Disassembly of EV Batteries |
| Amount | £7,000 (GBP) |
| Funding ID | 1002752 |
| Organisation | Direct Line Group plc |
| Sector | Private |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 12/2022 |
| Description | FIRG027 - Selective Metal Biorecovery from Lithium Ion Batteries. Funding scheme: Towards a circular bioeconomy for technology-relevant metals and textiles |
| Amount | £302,670 (GBP) |
| Funding ID | BB/X011720/1 |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2023 |
| End | 01/2025 |
| Description | FIRG027 - Technology critical metal recycling using ultrasonics and catalytic etchants (SonoCat) |
| Amount | £970,125 (GBP) |
| Funding ID | EP/W018632/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 03/2025 |
| Description | FIRG027 - Thermal Recovery of Functional Coatings (TReFCo) |
| Amount | £1,005,537 (GBP) |
| Funding ID | EP/W019167/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2022 |
| End | 01/2025 |
| Description | FIRG027 - UKRI Interdisciplinary Circular Economy Centre for Technology Metals (TechMet) |
| Amount | £4,436,180 (GBP) |
| Funding ID | EP/V011855/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2021 |
| End | 12/2024 |
| Description | FIRG036 - Developing commercially viable quasi-solid-state Li-S batteries for the automotive market |
| Amount | £1,863,340 (GBP) |
| Funding ID | 10040939 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 12/2025 |
| Description | FIRG037 - The HIgh Silicon content anOdes for a solid state batteRY Project [The HISTORY Project] |
| Amount | £8,200,000 (GBP) |
| Funding ID | 10040711 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2023 |
| End | 01/2025 |
| Description | FIRG038 - The Voltt: A Database of Battery Parameters for Virtual Modelling and Optimisation of Battery Cells to Accelerate R&D |
| Amount | £745,808 (GBP) |
| Funding ID | TS/X011631/1 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 01/2025 |
| Description | FIRG041 - Accelerating commercialisation of manufacturing method for Si anodes for lithium ion batteries (LIBs) |
| Amount | £256,632 (GBP) |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2023 |
| End | 08/2024 |
| Description | FIRG041 - EPSRC IAA Sheffield |
| Amount | £22,453 (GBP) |
| Organisation | University of Sheffield |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 07/2023 |
| End | 06/2024 |
| Description | FIRG042 - Scalable Templating Layers for Advanced Batteries |
| Amount | £383,920 (GBP) |
| Funding ID | EP/W029235/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 01/2025 |
| Description | FIRG042 - The HIgh Silicon conTent anOdes for a solid state batteRY Project [The HISTORY Project] |
| Amount | £5,675,052 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2023 |
| End | 01/2025 |
| Description | FIRG046 - Aromatic Cation-Capped Oligoynes: Stabilisation and Trion Formation |
| Amount | £187,096 (GBP) |
| Funding ID | EP/Y015657/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2023 |
| End | 06/2025 |
| Description | FIRG047 - Advanced Manufacturing of 3D Porous Electrodes for Redox Flow Batteries |
| Amount | £141,272 (GBP) |
| Funding ID | FIRG047 |
| Organisation | The Faraday Institution |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 05/2022 |
| End | 05/2023 |
| Description | Faraday Institution HQ - Establishing a US/UK energy storage research partnership |
| Amount | £4,044,900 (GBP) |
| Organisation | Department for Business, Energy & Industrial Strategy |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 03/2025 |
| Description | Faraday Institution HQ - STorage of Energy & Power Systems in NWE (STEPS) |
| Amount | € 3,036,011 (EUR) |
| Funding ID | NWE 1102 |
| Organisation | Interreg NWE |
| Sector | Public |
| Country | France |
| Start | 03/2020 |
| End | 09/2023 |
| Description | Faraday Institution HQ - Transforming Energy Access (TEA) - FCDO/DfID |
| Amount | £3,000,000 (GBP) |
| Funding ID | 204867 |
| Organisation | Foreign Commonwealth and Development Office (FCDO) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2020 |
| End | 03/2023 |
| Title | EP/S003053/1 - An automated algorithm for rapid analysis of li ion battery materials |
| Description | Vast quantities of powder leave production lines each day, often with strict control measures. For quality checks to provide the most value, they must be capable of screening individual particles in 3D and at high throughput. Conceptually, X-ray computed tomography (CT) is capable of this; however, achieving lab-based reconstructions of individual particles has, until now, relied upon scan-times on the order of tens of hours, or even days, and although synchrotron facilities are potentially capable of faster scanning times, availability is limited, making in-line product analysis impractical. This work describes a preparation method and high-throughput scanning procedure for the 3D characterization of powder samples in minutes using nano-CT by full-filed transmission X-ray microscopy with zone-plate focusing optics. This is demonstrated on various particle morphologies from two next-generation lithium-ion battery cathodes: LiNi0.8Mn0.1Co0.1O2 and LiNi0.6Mn0.2Co0.2O2; namely, NMC811 and NMC622. Internal voids are detected which limit energy density and promote degradation, potentially impacting commercial application such as the drivable range of an electric vehicle. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Improvements in the acquisition time of imaging of Li ion battery materials with a view to its application as QA for manufacturers |
| URL | https://onlinelibrary.wiley.com/doi/full/10.1002/advs.202000362 |
| Title | EP/S003053/1 - Opernado PDF CT development |
| Description | Development of cells and methodology for operando PDF CT methods at Diamond and ESRF |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | Increased experimental capability at large scale facilities |
| Title | FIIF003 - AI-based temperature prediction models |
| Description | A new data-driven method was developed for prediction of temperature in a battery pack. AI-based models were developed using experimental test data. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | The proposed AI-based temperature estimation models can be a replacement for hard sensors and save the overall cost of battery pack manufacturing. On the other hand, the temperature prediction models could improve battery pack safety by predicting the battery behaviour within a finite time horizon. |
| Title | FIIF008 - Dry Lab Facility |
| Description | A facility to enable battery pouch cell research and scale up. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | collaborative research and industrial engagement |
| URL | https://www.ulabequipment.com/location_search.php?facility=nexgenna&srch_tgt=3&s=search&q=eden |
| Title | FIIF016 - Multi-physics sensing array for testing cylindrical li-ion cells |
| Description | This research tool enables simultaneous monitoring of multiple physical phenomena in-situ li-ion cells during testing. Development of this tool was the goal of the academic side of this Fellowship. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | This tool has been used in collaboration with other partners (Breathe, Delta-Cosworth, academic partners) to provide novel data for models development and product optimisation. |
| Title | FIRG001 - - Preparation of batteries on in situ electrochemistry TEM holder |
| Description | We have developed a new protocol for preparing battery components for in situ electrochemistry in the transmission electron microscope. This allows us to deposit electrodes at desired locations with spatial resolutions of 10 microns. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | Attracting further funding for the study of battery materials and electrochemical processes using TEM |
| Title | FIRG001 - Development of in-situ SEM/HIM stage for battery application |
| Description | In collaboration between Degradation, Recycling and Characterization FI projects we have developed new in-situ liquid SEM/HIM stage for wide verity of applications e.g. batteries, biological samples etc., direct imaging. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | This new technology creates tremendous possibility and impact to the field of batteries, allowing for direct visualization of cycling processes in-real-time with direct analysis and characterization of structural changes of battery materials during cycling. |
| Title | FIRG001 - Dry room battery prototyping capability for research purposes |
| Description | The Dry Room in Cambridge Graphene Centre is used for assembly of pouch cells as well as handling materials sensitive to moisture and is utilised also by other groups active in the Faraday Degradation project, including other groups in Cambridge at Chemistry, Engineering, and Materials Science. The dry Room is continuously maintained at -55 dew point C (RH~0.1%) and is equipped with all tools needed to assemble, test and characterise the battery electrodes and cell prototypes. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The manufacturing of Lithium-ion battery prototypes normally takes place in the dry room. Therefore, it is key to bridge between small R&D lab environments to large scale mass production facilities |
| URL | https://www.graphene.cam.ac.uk/facilities/dryroom |
| Title | FIRG001 - In-situ Raman to characterise the degradation process |
| Description | Using in-situ Raman to characterise the degradation process accruing in Li-ion batteries, key parameters can be identified and monitored from the corresponding Raman signal. The charge/discharge process on a single graphite flake over long time cycling (up to 50 times at 1/2 0C), can be observed via subtle changes of the signal, and used as an early diagnostic probe during the degradation process. Both the shear mode and the layer-breathing mode, due to the relative motion of the graphene sheets at the ULF range, usually fall below the notch and edge filter cut-off of many spectrometers. To this end, we have developed an in-situ, ultra-low frequency (ULF) Raman technique. We expect that the ULF signal will reveal useful information regarding the degradation process during battery cycling. We have also assessed the possibility to use machine learning to analyse in-situ Raman data. The purpose here is to create a diagnostic tool for the identification of key parameters and degradation causes during battery cycling. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | The method can serve as an early diagnostic probe for better understanding of the degradation process and fingerprinting different battery materials against Lithium intercalation during cycling and related degradation mechanisms. |
| URL | https://www.graphene.cam.ac.uk/facilities/raman |
| Title | FIRG001 - Kerr Gated Raman Spectroscopy for the study of Li-ion Batteries |
| Description | Kerr gated Raman is also an effective technique to suppress the fluorescence background in Raman experiments, thereby providing extra sensitivity via use of lower wavelength laser excitation in order to allow detection of surface layers and solid electrolyte interphase compounds on battery electrodes. Kerr gated Raman is based on the different time-dependence of fluorescence and Raman scattering signals upon short-pulse optical excitation. While fluorescence has a finite lifetime in the order of hundreds of picoseconds (ps) to nanoseconds (ns), Raman scattering is instantaneous and follows in time the initiating laser pulse within picoseconds (ps) or femtoseconds (fs). Such distinct time-domains for these two processes opens up a technical opportunity for separating them, provided an ultra-fast gating mechanism of the optical signal is coupled with the excitation pulse. Kerr gated consists of a non-linear medium carbon disulphide (CS2), which acts as a half-wave plate due to a transient anisotropy induced in the medium by a high-energy gating laser pulse (? = 800 nm, 1 ps). When gating laser pulse and excitation laser are timed appropriately, the polarisation of the Raman signal is rotated by 90° vs. the slower fluorescence emission signal, resulting in an effective transmission of the Raman scattering by the two crossed polarisers, while the fluorescence is mostly blocked. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Kerr gated Raman is also an effective technique to suppress the fluorescence background in Raman experiments, thereby providing extra sensitivity via use of lower wavelength laser excitation in order to allow detection of surface layers and solid electrolyte interphase compounds on battery electrodes. |
| Title | FIRG001 - Machine learning model for battery dianosis and prognosis |
| Description | A machine learning model was build based on EIS data. This model was used to accurately diagnose the SoH and predict the RUL of lithium ions batteries. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | With over 20,000 EIS collected, the model can be used to diagnose and prognose various types of lithium ions batteries. |
| URL | https://github.com/YunweiZhang/ML-identify-battery-degradation. |
| Title | FIRG001 - Operando Battery Cell for X-ray Imaging and Diffraction |
| Description | An operando cell design developed for use in synchrotrons, specifically for imaging and diffraction studies on NMC cathodes, amongst others |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Numerous publications and experiments, including at sychrotrons around the world have been possible due to these cell designs |
| URL | https://www.mdpi.com/1996-1944/11/11/2157 |
| Title | FIRG001 - Operando Raman detection method for full-cell Li:ion batteries |
| Description | We have pioneered a fibre-optical sensing method, based on hollow-core optical fibres, that is uniquely capable of operando Raman spectroscopy of battery devices under real working conditions, without perturbing the electrochemical operation of the cell. We have automated the spectroscopy method to continuously monitor the electrolyte chemistry during battery cycling and observe changes in additive concentrations in real time. In 2020 we implemented a quantitative electrolyte liquid sampling and have demonstrated that the method works over multiple electrochemical cycles. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The significance of this result is that it represents a new pathway to identify battery degradation mechanisms in full cell batteries under working conditions. |
| Title | FIRG001 - lab-based XAFS |
| Description | Lab-based hard X-ray absorption spectrometer for battery research installed and commissioned at WMG by Prof. Piper. It is available for users as part of the diffraction RTP at Warwick University. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Fully operational, ability to study pressed pellets, electrodes and pouch cells. |
| Title | FIRG005 - A new In-situ Stage for SEM/HIM |
| Description | We designed a new stage for SEM and Helium Ion Microscopes (HIM) that allows a larger volume of liquid to be included. This liquid allows for bacteria to be imaged in native environment (ReLiB project) and electrochemistry to be performed in a simpler, more widely accessible set of experimental tools (Quantitative Imaging project). |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | The stage is undergoing its commissioning experiments in Jan-Mar 2020, and the impacts on the research community are expected to follow |
| Title | FIRG011 - Operando XAS setup for studying solid electrolyte-electrode interfaces with Hard X-ray Photoelectron Spectroscopy |
| Description | The ability to deposit thin (<100 nm) Li films onto solid electrolyte pellets at I09 beamline at diamond light source, and then use these for operando electrochemical cycling. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Article published demonstrating the technique I-CASE studentship with Johnson Matthey to further develop technique |
| Title | FIRG012 - Development of light scattering microscopy for imaging battery materials |
| Description | New method to study ion flow and phase transitions in battery materials. Currently only such system in the world, to the best of our knowledge. As of Feb 2021 we are working to commercialise this method with one of the world's leading scientific instrument makers |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | Ongoing. As of Feb 2021 we are working to commercialise this method with one of the world's leading scientific instrument makers |
| Title | FIRG012 - Wide-field hyperspectral imaging of thin films and devices |
| Description | We have customised a hyperspectral imaging setup to measure photoluminescence, electroluminescence, transmission and reflection of thin film samples under operating conditions relevant to devices (for example photovoltaic or light-emitting diodes). More recently, this has been demonstrated on barrert structures |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | We are currently utilising the instrument for a variety of ongoing projects and we hope to have further academic publications on these to report soon. We hope to extend its capabilities to a range of samples from collaborators. |
| URL | https://www.sciencedirect.com/science/article/pii/S2542435120300982 |
| Title | FIRG013 - Glovebox electrochemical imaging |
| Description | We have set up electrochemical imaging in the form of scanning electrochemical cell microscopy (SECCM) in a glovebox environment to allow high resolution measurements of various battery electrode materials. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | This capability will allow researchers to characterise and screen battery electrodes and electrode materials. |
| Title | FIRG013 - electrochemical MRI |
| Description | Set up battery cycler in MRI lab for operando electrochemical magnetic resonance imaging |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Battery chemistry can be observed (in situ/in operando) during charge cycling, by nuclear magnetic resonance (NMR) spectroscopy and imaging (MRI). The distribution and speciation of a range of NMR active nuclei can be observed, including 1H, 19F, 23Na and 7Li. |
| Title | FIRG014 - Large-scale LiS testing capabilities - Coventry |
| Description | New facilities for LiS technology manufacture have been set up, including large multi zone glovebox, new welder and new pouch sealer along with increased testing capabilities. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | Development and manufacture of at-scale LiS cathodes and cells for the LiSTAR consortium, to better standardise testing across the entire consortium. |
| Title | FIRG017 - Operando muon battery cell |
| Description | Development of battery cell for operando muon spectroscopy measurements to probe lithium and sodium diffusion, in collaboration with the ISIS Neutron and Muon Source through a Facilities Development award for PhD student Innes McClelland (affiliate PhD student of SOLBAT) working with Professor Serena Corr and Dr Eddie Cussen at the University of Sheffield. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This research tool has just been tested at the muon beamline, with the intention of publishing and making available to any users. This has also been utilised by another FutureCat project, Nexgenna. (Update 2022 - This work contributed to the win of the ISIS Science Award won by Prof Serena Cussen and her team.) |
| URL | https://www.sheffield.ac.uk/cbe/news/professor-corr-wins-2021-isis-science-impact-award |
| Title | FIRG018 - Novel methodology for nanoscale characterisation |
| Description | Novel platform for the measurements and characterisation of materials and devices with ~ 10-50 nm spatial resolution using a diamond based ultra-broadband tool. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | IP created and being discussed with the potential users. |
| URL | https://hiwin-felix.org/ |
| Title | FIRG024 - In-house operando XAS of pouch cells for long duration testing |
| Description | Pilot line A7 pouch cells were built to demonstrate how the EasyXAFS-300+ system at WMG could directly monitor Ni, Mn, and Co oxidation. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | This capability have enabled FIRG060 funding (Research Pouch Cell Manufacturing) |
| Title | FIRG024 - Operando soft XAS using X-ray Chopper |
| Description | Beam chopping capability established at beamline's B07 and I10 at Diamond Light Source, and used with lock-in techniques to perform operando XAS in total electron yield mode |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Used as basis for new funded projects (ERC starting grant and UKRI Future Leaders Fellowship) Publication on operando XAS of SEI formation in Li-ion Batteries I-CASE studentship with Johnson Matthey based on using this approach |
| Title | FIRG052 - Multimodal lab-on-a-chip electrochemical testing platform |
| Description | A pioneering on-chip electrocatalyst screening and electrochemical testing platform is developed with deterministic electrocatalyst loading results in a more economical, efficient, and controllable approach as compared to traditional synthesis or manufacturing methods. This platform allows for the high-throughput evaluation of catalysts and the optimization of operating parameters. Advanced testing and characterisation techniques, including a three-electrode configuration, in situ electrochemical Raman (EC-Raman), and electrochemical atomic force microscopy (EC-AFM), are integrated, providing in-situ probing of decoupled potential analysis, product chemical composition, and morphology evolution. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | This platform allows for the high-throughput evaluation of catalysts, along with the optimization of operating parameters and advanced testing and characterisation. The implementation of this multimodal lab-on-a-chip platform is expected to significantly broaden the understanding and enhance the perception of the development of not only advanced Li-CO2 batteries, but also other systems, such as metal-air batteries, electrocatalysis, fuel cells, and photoelectrochemical cells. It will open up new opportunities for rapid catalyst screening, mechanism investigation, and practical applications, ranging from nanoscience and technology to cutting-edge negative emissions technologies. |
| URL | https://pubs.rsc.org/en/content/articlelanding/2023/ee/d3ee00794d |
| Title | FIRG053 - Direct DVA |
| Description | We employ 3-electrode cells to provide the dV/dQ of the anode and cathode, not just the full potential, of commercial coating balanced cells. As a result, not fits are required to identify degradation contributions to the cathode or anode |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | This provided a means of directly determining the source of degradation in NMC/Si-graphite cylindrical cells (manuscript in preparation) |
| Title | EP/S003053/1 - Data Collection for an Advanced Datasheet on 18650 Li-ion Batteries with Nickel-Rich NMC811 Cathodes and Graphite-Silicon Anodes |
| Description | This collection of data is on 18650 Li-ion Batteries with Nickel-Rich NMC811 Cathodes and Graphite-Silicon Anodes. The data can be found at the bottom of the page.Full-cell 3D data: EIL-016.tif; (36 µm isotropic voxels)Electrode assembly 3D data: EIL-005.tif; (10.4 µm isotropic voxels) EIL-006.tif; (10.4 µm isotropic voxels) EIL-007.tif; (10.4 µm isotropic voxels) EIL-008.tif; (10.4 µm isotropic voxels)Anode 3D data: EIL-013.tif; (63.1 nm isotropic voxels)Cathode 3D data: EIL-014.tif; (63.1 nm isotropic voxels)Cycling data: EIL-015.tif; (capacity, potential, temperature, efficiency) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Available data for the modelling community to improve battery models and image based modelling |
| URL | https://rdr.ucl.ac.uk/collections/Data_Collection_for_an_Advanced_Datasheet_on_18650_Li-ion_Batterie... |
| Title | EP/S003053/1 - Data from: "Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes" |
| Description | Dataset from the publication "Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes". Full experimental details can be found in the related publication in ACS Applied Energy Materials: https://doi.org/10.1021/acsaem.2c02047 Commercial 21700 cylindrical cells (LG M50T, LG GBM50T2170) were cycle aged under 3 different temperatures [10, 25, 40] °C and 2 SoC ranges [0-30, 0-100]%, with multiple cells tested under each condition. Cells were base-cooled at set temperatures using bespoke test rigs (see pubilcation for details). All electrochemical data were recorded using a Biologic BCS-815 battery cycler. Break-in cycles: Prior to any ageing or performance checks, all cells were subject to 5 full charge-discharge cycles as part of the break-in procedure. This consisted of a 0.2C charge to 4.2 V with CV-hold till C/100, and 0.2C discharge to 2.5 V (repeated for 5 cycles). Cells were rested under open circuit conditions for 2 hours after each charge and 4 hours after each discharge. These break-in cycles were performed at 25°C for all cells. Ageing Conditions: Ageing Conditions Expt SoC Range C-rate Temperature # of cells Cell IDs 1 0-30% 0.3C / 1D 10°C 3 A, B, J 1 0-30% 0.3C / 1D 25°C 3 D, E, F 1 0-30% 0.3C / 1D 40°C 3 K, L, M 5 0-100% 0.3C / 1D 10°C 3 A, B, C 5 0-100% 0.3C / 1D 25°C 2 D, E 5 0-100% 0.3C / 1D 40°C 3 F, G, H For cells aged in the 0-30% SoC range, each ageing set consisted of 256 cycles over the 0-30% SoC range (discharge to 2.5 V, charge by passing 1500 mA h (== 0.3*nominal capacity)). C-rates were 0.3C for charge, and 1C for discharge. For cells aged in the 0-100% SoC range, each ageing set consisted of 78 cycles over the full SoC range (discharge to 2.5 V, charge to 4.2 V with CV hold till C/100). C-rates were 0.3C for charge, and 1C for discharge. Reference Performance Tests (RPTs): All cells were characterised at beginning of life (BoL) and after each ageing set using a reference performance test (RPT). The RPT was always performed at 25°C. Two different RPT procedures were used: a longer procedure which was performed after each even-numbered ageing set, and a shorter procedure which was used after each odd-numbered ageing set. Both procedures are detailed below. A CC-CV charge at 0.3C to 4.2 V, 4.2 V till C/100 was performed between each step of the procedures. Long RPT procedure: C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V). C/2 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V). GITT discharge at 0.5C; 25 pulses with each pulse passing 200 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses). GITT discharge at 0.5C; 5 pulses with each pulse passing 1000 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses). Short RPT procedure: C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V). Hybrid CC-pulse test with average current of C/2. A baseline DC current of C/2 was applied with an HPPC-type profile superimposed on top. This was done for discharge and charge (with voltage limits of 2.5 V and 4.2 V). Hybrid CC-pulse test with average current of 1C. A baseline DC current of 1C was applied with an HPPC-type profile superimposed on top. This was done for discharge only (with a voltage limit of 2.5 V). Extracted Data - Main One csv file exists for each cell being tested, summarising the important data extracted from the ageing cycles and the RPTs. This includes: Ageing Set: numbered 0 (BoL) to x, where x is the number of ageing sets the cell has been subject to. Ageing Cycles: number of ageing cycles the cell has been subject to. *this is not equivalent full cycles. Ageing Set Start Date/ End date: The date that each ageing set began/ ended. Days of Degradation: Number of days between the date of the first ageing set beginning and the current ageing set ending. Age Set Average Temperature: average recorded surface temperature of the cell during cycle ageing. Temperature was recorded approximately 1/2 way up the length of the cell (i.e. between positive and negative caps) using a K-type thermocouple. Units: °C. Charge Throughput: total accumulated charge recorded during all cycles during ageing (i.e. sum of charge and discharge). This is the cummulative total since BoL (not including RPTs). Units: Ah. Energy Throughput: as with "charge throughput", but for energy. Units: Wh. C/10 Capacity: the capacity recorded during the C/10 discharge test of each RPT. Units: mAh. C/2 Capacity: the capacity recorded during the C/2 discharge test of each even-numbered RPT. Units: mAh. 0.1s Resistance: The resistance calculated from the 25-pulse GITT test of each even-numbered RPT. This value is taken from the 12th pulse of the procedure (which corresponds to ~52% SoC at BoL). The resistance is calculated by dividing the voltage drop by the current at a timecale of 0.1 seconds after the current pulse is applied (the fastest timescale possible under the 10 Hz recording condition). Units: Ohms. Extracted Data - Degradation Modes: Degradation Mode Analysis (DMA) was also performed on the C/10 discharge data at each RPT. This analysis uses an optimisation function to determine the capacities and offset of the positive and negative electrodes by calculating a full cell voltage vs capacity curve using 1/2 cell data and comparing against the experimentally measured voltage vs capacity data from the C/10 discharge. The results of this analysis are saved in the DMA folder, with 4 csv files for each cell, which contain data for all RPTs. The 4 files contain: Fitting parameters: output from the DMA optimisation function; 5 parameters which detail the upper/lower lithitation fractions of each electrode and the capacity fraction of graphite in the negative electrode. Capacity and offset data: calculated based on the fitting parameters above alongside the measured C/10 discharge capacity. DM data: Quantities of LLI, LAM-PE, LAM-NE, LAM-NE-Gr, and LAM-NE-Si calculated from the change in capacities/offset of each electrode since BoL. RMSE data: the root-mean-square error of the optimisation function calculated from the residual between the measured and calculated voltage vs capacity profiles. Timeseries data from RPTs: Timeseries datafiles from the Biologic battery cycler which have been exported to csv and sliced for each step of each RPT procedure to help with future use of the data. Files contain [time, voltage, current, charge, temperature] data. Jupyter Notebook: A jupyter notebook has been included to aid futher use of this data. The notebook shows how to load the data into pandas DataFrame objects and provides a couple of example plots to view the datasets. Notes: A faulty electrical connection to cell A of Expt 5 (i.e. one of the cells being aged at 0-100% SoC at 10°C) during RPT4 led to erroneous results for that performance check (as evidenced in the 0.1s resistance value). The faulty electrical connection was fixed prior to subsequent cycling but the RPT was not repeated. We have kept the data collected during this RPT as part of the dataset, so caution should be used when using this specific portion. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/7235857 |
| Title | EP/S003053/1 - Data on the theoretical X-Ray attenuation and transmissions for lithium-ion battery cathodes |
| Description | This article reports the data required for planning attenuation-based X-ray characterisation e.g. X-ray computed tomography (CT), of lithium-ion (Li-ion) battery cathodes. The data reported here is to accompany a co-submitted manuscript (10.1016/j.matdes.2020.108585 [1]) which compares two well-known X-ray attenuation data sources: Henke et al. and Hubbell et al., and applies methodology reported by Reiter et al. to extend this data towards the practical characterisation of prominent cathode materials. This data may be used to extend beyond the analysis reported in the accompanying manuscript, and may aid in the applications for other materials, not limited to Li-ion batteries. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | These data allow for the correct sizing of operando electrodes for x-ray imaging methods, available to the wider community |
| URL | https://www.sciencedirect.com/science/article/pii/S2352340920304339 |
| Title | EP/S003053/1 - Dataset for Dynamics of Solid-Electrolyte Interphase Formation on Silicon Electrodes Revealed by Combinatorial Electrochemical Screening |
| Description | This dataset provides the raw data to the manuscript "Dynamics of Solid-Electrolyte Interphase Formation on Silicon Electrodes Revealed by Combinatorial Electrochemical Screening" published in Angewandte Chemie International Edition (2022): https://doi.org/10.1002/anie.202207184 Specifically, the following measurements are provided: Electrochemical measurements for combinatorial preparation of solid-electrolyte layers under different conditions and repetitions ("SECCM/") Raman spectra obtained using SHINERS for all the prepared conditions and repetitions ("SHINERS/") Atomic force microscopy data for each SEI layer ("AFM/") Energy-dispersive X-ray spectroscopy data ("EDX/") |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/6545400 |
| Title | EP/S003053/1 - Dataset for Dynamics of Solid-Electrolyte Interphase Formation on Silicon Electrodes Revealed by Combinatorial Electrochemical Screening |
| Description | This dataset provides the raw data to the manuscript "Dynamics of Solid-Electrolyte Interphase Formation on Silicon Electrodes Revealed by Combinatorial Electrochemical Screening" published in Angewandte Chemie International Edition (2022): https://doi.org/10.1002/anie.202207184 Specifically, the following measurements are provided: Electrochemical measurements for combinatorial preparation of solid-electrolyte layers under different conditions and repetitions ("SECCM/") Raman spectra obtained using SHINERS for all the prepared conditions and repetitions ("SHINERS/") Atomic force microscopy data for each SEI layer ("AFM/") Energy-dispersive X-ray spectroscopy data ("EDX/") |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/6545399 |
| Title | EP/S003053/1 - Experimental data for "Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models" |
| Description | This dataset is for the validation data in Chen et al. (2020). It contains data for three different LG M50 cells undergoing an experiment in which the cells are charged in a constant-current/constant-voltage fashion and discharge at a constant current for different C-rates (C/10, C/2, 1C and 1.5C). Apart from the current and voltage, the temperatures of the cell surface and the thermal chamber in which they are cycled is recorded too. References: Chang-Hui Chen et al 2020 J. Electrochem. Soc. 167 080534 (https://doi.org/10.1149/1945-7111/ab9050) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/4032560 |
| Title | EP/S003053/1 - Experimental data for "Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models" |
| Description | This dataset is for the validation data in Chen et al. (2020). It contains data for three different LG M50 cells undergoing an experiment in which the cells are charged in a constant-current/constant-voltage fashion and discharge at a constant current for different C-rates (C/10, C/2, 1C and 1.5C). Apart from the current and voltage, the temperatures of the cell surface and the thermal chamber in which they are cycled is recorded too. References: Chang-Hui Chen et al 2020 J. Electrochem. Soc. 167 080534 (https://doi.org/10.1149/1945-7111/ab9050) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/4032561 |
| Title | EP/S003053/1 - FS-MSM: Adaptive observer |
| Description | On-line estimation of state of charge and cross-over flux in flow batteries undergoing self-discharge. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Simulateneous, on-line, estimation of state of charge and cross-over flux |
| URL | https://github.com/davidhowey/ACC2019 |
| Title | EP/S003053/1 - Kintsugi Imaging of Battery Electrodes: Distinguishing Pores from the Carbon Binder Domain using Pt Deposition (Data) |
| Description | Figures and data files used to construct the figures in the 2022 paper "Kintsugi Imaging of Battery Electrodes: Distinguishing Pores from the Carbon Binder Domain using Pt Deposition." |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/6815045 |
| Title | EP/S003053/1 - NMC811 4D Nanotomography Tiff Stacks |
| Description | 3D Tiff stacks of pristine and charged NMC811 electrodes used within "Direct 4D Observations of Electrochemically Induced Intergranular Cracking in NMC811 Particles" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Used in other research work: https://www.sciencedirect.com/science/article/pii/S0378775323011217 |
| URL | https://rdr.ucl.ac.uk/articles/dataset/NMC811_4D_Nanotomography_Tiff_Stacks/22120061/1 |
| Title | EP/S003053/1 - NMC_highres.7z |
| Description | Three phase Li-ion cathode mesostructural dataset, as generated by the Super-Resolution technique developed by the tldr group (Case 4 in the referenced paper). The NMC cathode dataset is 18803 voxels, for a 94 µm edge length cubic volume at 50 nm resolution. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://figshare.com/articles/dataset/NMC_highres_7z/19435778/1 |
| Title | EP/S003053/1 - NMC_highres.7z |
| Description | Three phase Li-ion cathode mesostructural dataset, as generated by the Super-Resolution technique developed by the tldr group (Case 4 in the referenced paper).The NMC cathode dataset is 18803 voxels, for a 94 µm edge length cubic volume at 50 nm resolution. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://figshare.com/articles/dataset/NMC_highres_7z/19435778 |
| Title | EP/S003053/1 - Research data supporting 'Sample Dependence of Magnetism in the Next Generation Cathode Material LiNi0.8Mn0.1Co0.1O2' |
| Description | Contains data used to prepare all the figures in the publication. Fig. 1.cif contains the details of the crystal structure. Fig. 2 contains the X-ray and neutron diffraction refinement data. Figs 3, 4 and 5 contain the dc magnetic susceptibility, isothermal magnetisation and ac magnetic susceptibility data respectively. Fig. 6 contains the polarised neutron scattering data. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://www.repository.cam.ac.uk/handle/1810/314950 |
| Title | EP/S003053/1 - X-ray nano CT of Carbon-Sulfur Cathode@1st Cycle ChargeState |
| Description | The S/C cathode was scanned by lab-based X-ray nano-scale CT scanner (Zeiss Xradia 810 Ultra, Carl Zeiss Inc.). 1601 projections were obtained for the specimen. The standard reconstruction algorithm is used to reconstruct sample. The voxel resolution at 126 nm with the narrower (64 µm x 64 µm) field of view was achieved. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://rdr.ucl.ac.uk/articles/dataset/X-ray_nano_CT_of_Carbon-Sulfur_Cathode_1st_Cycle_ChargeState/... |
| Title | EP/S003053/1 - X-ray nano CT of Carbon-Sulfur Cathode@1st Cycle ChargeState |
| Description | The S/C cathode was scanned by lab-based X-ray nano-scale CT scanner (Zeiss Xradia 810 Ultra, Carl Zeiss Inc.). 1601 projections were obtained for the specimen. The standard reconstruction algorithm is used to reconstruct sample. The voxel resolution at 126 nm with the narrower (64 µm x 64 µm) field of view was achieved. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://rdr.ucl.ac.uk/articles/dataset/X-ray_nano_CT_of_Carbon-Sulfur_Cathode_1st_Cycle_ChargeState/... |
| Title | EP/S003053/1 - X-ray nano CT of Carbon-Sulfur Cathode@3rd Cycle ChargeState |
| Description | The S/C cathode was scanned by lab-based X-ray nano-scale CT scanner (Zeiss Xradia 810 Ultra, Carl Zeiss Inc.). 1601 projections were obtained for the specimen. The standard reconstruction algorithm is used to reconstruct sample. The voxel resolution at 126 nm with the narrower (64 µm x 64 µm) field of view was achieved. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://rdr.ucl.ac.uk/articles/dataset/X-ray_nano_CT_of_Carbon-Sulfur_Cathode_3rd_Cycle_ChargeState/... |
| Title | EP/S003053/1 - X-ray nano CT of Carbon-Sulfur Cathode@3rd Cycle ChargeState |
| Description | The S/C cathode was scanned by lab-based X-ray nano-scale CT scanner (Zeiss Xradia 810 Ultra, Carl Zeiss Inc.). 1601 projections were obtained for the specimen. The standard reconstruction algorithm is used to reconstruct sample. The voxel resolution at 126 nm with the narrower (64 µm x 64 µm) field of view was achieved. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://rdr.ucl.ac.uk/articles/dataset/X-ray_nano_CT_of_Carbon-Sulfur_Cathode_3rd_Cycle_ChargeState/... |
| Title | FIRG001 - Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning |
| Description | A large database, with more than 20k EIS data, was built and a machine learning model to estimate SoH and predict RUL based on EIS data with machine learning algorithms was developed. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | this method can accurately estimate the SoH and RUL of a battery at any point of its life from a single EIS without the knowing the cycling temperature |
| Title | FIRG001 - Software to enable fitting of impedance spectra of Li-ion battery and extract physical parameters |
| Description | Software is free to use developed by Newcastle team to allow fitting of Li-ion battery impedance spectra and extract information on area specific resistance, double layer capacitance, charge transfer resistance and mass transport in electrode porous structure as well as in solid NMC and graphite particles. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | it allows development of circuit model to extract physical parameters of the battery by separating the processes taking place based on their time constants. New elments were developed to represent mass transfer in spherical particles with finite space (finite capacity) |
| Title | FIRG001 - growth rate and composition of SEI layer at each potential |
| Description | A database contains the growth rate and composition of SEI layer at every potential value |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | The growth rate and composition of SEI layer at different potential value can be checked directly |
| Title | FIRG003 - Battery electrolyte model parametrisation in the ONETEP code |
| Description | Our developments for methods for electrochemistry simulations using large scale quantum mechanical calculations in the ONETEP program as part of the Faraday Institution Multiscale Modelling project. This is the first time when quantum atomistic simulations at a large-scale (hence the ONETEP program for linear-scaling simulations of complex systems) have been coupled with an electrochemical environment such as electrolyte and potential control in order to charge electrodes. These developments provide a unique new platform for electrochemistry simulations (e.g. batteries, fuel cells, electrocatalysis). The model has been parametrised for a range of the solvents and electrolytes that are encountered in batteries as well as for the various kinds of reference electrodes such as the standard hydrogen electrode and the Li/Li+ electrode. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Our developments are made available to commercial users of the ONETEP code which is marketed by BIOVIA/Dassault systemes. We are completing a high impact application paper on these developments with simulations which allow us to determine the conditions under which Li deposition happens on the anodes of Li-ion batteries, which is a known degradation pathway, which will allow in the future the development of batteries with extended lifetime. |
| URL | https://www.3ds.com/fileadmin/PRODUCTS-SERVICES/BIOVIA/PDF/biovia-material-studio-onetep.pdf |
| Title | FIRG003 - Computational Supporting Dataset for "Exploiting Cationic Vacancies for Increased Energy Densities in Dual-Ion Batteries" |
| Description | The dataset contains inputs and outputs for a series of VASP calculations on Mg/Li-intercalated F-doped anatase TiO2, and scripts for processing this DFT data to produce the related manuscript figures. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| URL | https://researchdata.bath.ac.uk/id/eprint/689 |
| Title | FIRG003 - DandeLiion battery modelling |
| Description | DandeLiion is an ultra-fast solver for electrochemical models of planar lithium-ion cells and thermal-electrochemical models of three-dimensional composite pouch cells. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The model is accessible by a website, full release is being explored commercially. |
| URL | https://www.dandeliion.com/ |
| Title | FIRG003 - Dataset for "Native Defects and their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12" |
| Description | This dataset contains the computational data and analysis for the paper "Native Defects and their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12". It includes input and output files for the density functional theory (DFT) calculations, performed using VASP. Data extraction relies on the vasppy Python module (https://github.com/bjmorgan/vasppy, https://doi.org/10.5281/zenodo.801663), available under the MIT licence. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| URL | https://researchdata.bath.ac.uk/id/eprint/691 |
| Title | FIRG003 - Development of method for geometrical analysis of batteries |
| Description | A new method for predicting cell performance based on geometry obtained from X-ray CT |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | We are currently evaluating commercial potential |
| Title | FIRG003 - Experimental data for "Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models" |
| Description | This dataset is for the validation data in Chen et al. (2020). It contains data for three different LG M50 cells undergoing an experiment in which the cells are charged in a constant-current/constant-voltage fashion and discharge at a constant current for different C-rates (C/10, C/2, 1C and 1.5C). Apart from the current and voltage, the temperatures of the cell surface and the thermal chamber in which they are cycled is recorded too. References: Chang-Hui Chen et al 2020 J. Electrochem. Soc. 167 080534 (https://doi.org/10.1149/1945-7111/ab9050) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This dataset can be used by DFN modellers for validation and parameterisation. |
| URL | https://zenodo.org/record/4032561 |
| Title | FIRG003 - Graphite-based electrodes for Li-ion batteries: Formulation and manufacturing process optimization via machine learning |
| Description | Graphite-based electrodes for Li-ion batteries: Formulation and manufacturing process optimization via machine learning |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Graphite-based electrodes for Li-ion batteries: Formulation and manufacturing process optimization via machine learning |
| URL | https://data.mendeley.com/datasets/4dh2h3tsf4/1 |
| Title | FIRG003 - PyBaMM |
| Description | Python Battery Mathematical Modelling (PyBaMM) is a flexible, modular framework for the development of new models for a wide range of batteries. IT has been developed for use as a learning and development tool, aimed at helping the battery modelling research community to learn about models, develop new ones and save time by avoiding having to re-code the models in the literature every time they start. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This code base has attracted a wide audience of users and modellers, from international industry and academia |
| URL | https://pybamm.org |
| Title | FIRG003 - Python Battery Modelling |
| Description | PyBaMM (Python Battery Mathematical Modelling) solves physics-based electrochemical DAE models by using state-of-the-art automatic differentiation and numerical solvers. The Doyle-Fuller-Newman model can be solved in under 0.1 seconds, while the reduced-order Single Particle Model and Single Particle Model with electrolyte can be solved in just a few milliseconds. Additional physics can easily be included such as thermal effects, fast particle diffusion, 3D effects, and more. All models are implemented in a flexible manner, and a wide range of models and parameter sets (NCA, NMC, LiCoO2, ...) are available. There is also functionality to simulate any set of experimental instructions, such as CCCV or GITT, or specify drive cycles. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | PyBaMM is creating an international community of collaborators, working on some of the biggest problems in modelling lithium ion batteries, including degradation. |
| URL | https://www.pybamm.org/ |
| Title | FIRG003 - Warwick Long Term Ageing Dataset |
| Description | A large (~300 cells) long-term ageing data set that consists of calendar ageing and cycling ageing is collated. Experiments are still ongoing at the Warwick Wellesbourne labs and this data will be available to academic institutes. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The data sets have been shared with wider Faraday Institute partners and non-FI partners to support and further research activity. The data is being used as part a Faraday Sprint project together with the Faraday MSM and Faraday Degradation project. |
| Title | FIRG005 - High resolution 3D scans of Li EV battery pack, and sub-components, at all scales of disassembly |
| Description | High resolution 3D scans of Li EV battery pack, and sub-components, at all scales of disassembly. Data collected from Nissan Leaf EV battery pack. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | This data can be used extensively for developing and testing robotics and AI methods, especially computer vision methods. |
| Title | FIRG005 - Proteomic analysis of Desulfovibrio alaskensis G20 response to Ni and Co |
| Description | Proteomic data associated to the cellular response of Desulfovibrio alaskensis G20 to Co(II) and or Ni(II). Experimental design: 1)Three different metal combinations were applied: single metal treatments, only Co(II) or Ni(II), and bimetallic (Co(II) and Ni(II) at equal concentrations). 2) Two different metal concentration levels (10 mg and 100 mg/L) 3) Two different incubation time points (2 and 20 h) to investigate the dynamics of proteins production |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The dataset support work in the field of biological separation of Co and Ni. Published together with a research article. |
| URL | https://datashare.ed.ac.uk/handle/10283/4017 |
| Title | FIRG007 - A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning |
| Description | The application of machine learning models to predict material properties is determined by the availability of high-quality data. We present an expert-curated dataset of lithium ion conductors and associated lithium ion conductivities measured by a.c. impedance spectroscopy. This dataset has 820 entries collected from 214 sources; entries contain a chemical composition, an expert-assigned structural label, and ionic conductivity at a specific temperature (from 5 to 873 °C). There are 403 unique chemical compositions with an associated ionic conductivity near room temperature (15-35 °C). The materials contained in this dataset are placed in the context of compounds reported in the Inorganic Crystal Structure Database with unsupervised machine learning and the Element Movers Distance. This dataset is used to train a CrabNet-based classifier to estimate whether a chemical composition has high or low ionic conductivity. This classifier is a practical tool to aid experimentalists in prioritizing candidates for further investigation as lithium ion conductors. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Enhancement of machine learning models for prediction of Li ion conductivity in solid state materials. |
| Title | FIRG007 - Ionic conductors |
| Description | A database of solid ionic conductors and their conductivity |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | None yet (ongoing research project) |
| Title | FIRG015 - Cell test baseline dataset |
| Description | Development of a large baseline cell test database with input from five institutions |
| Type Of Material | Data handling & control |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | The baseline cell test database allows improvements in electrodes to be determined |
| Title | FIRG015 - Hybrid augmented electrode modelling |
| Description | Development of a new hybrid augmented modelling technique that uses structural data taken from physical electrodes. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | The model uses structural data and uses them as inputs for a computational micromechanical (DEM) electrode calendering model. |
| Title | FIRG025 - DandeLiion cloud-computing service |
| Description | A webservice for solving battery models in the cloud. Free to use. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Generation of significant engagement from industry |
| URL | http://www.dandeliion.com |
| Title | FIRG025 - Data from: "Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes" |
| Description | Dataset from the publication "Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes". Full experimental details can be found in the related publication in ACS Applied Energy Materials: https://doi.org/10.1021/acsaem.2c02047 Commercial 21700 cylindrical cells (LG M50T, LG GBM50T2170) were cycle aged under 3 different temperatures [10, 25, 40] °C and 2 SoC ranges [0-30, 0-100]%, with multiple cells tested under each condition. Cells were base-cooled at set temperatures using bespoke test rigs (see pubilcation for details). All electrochemical data were recorded using a Biologic BCS-815 battery cycler. Break-in cycles: Prior to any ageing or performance checks, all cells were subject to 5 full charge-discharge cycles as part of the break-in procedure. This consisted of a 0.2C charge to 4.2 V with CV-hold till C/100, and 0.2C discharge to 2.5 V (repeated for 5 cycles). Cells were rested under open circuit conditions for 2 hours after each charge and 4 hours after each discharge. These break-in cycles were performed at 25°C for all cells. Ageing Conditions: Ageing Conditions Expt SoC Range C-rate Temperature # of cells Cell IDs 1 0-30% 0.3C / 1D 10°C 3 A, B, J 1 0-30% 0.3C / 1D 25°C 3 D, E, F 1 0-30% 0.3C / 1D 40°C 3 K, L, M 5 0-100% 0.3C / 1D 10°C 3 A, B, C 5 0-100% 0.3C / 1D 25°C 2 D, E 5 0-100% 0.3C / 1D 40°C 3 F, G, H For cells aged in the 0-30% SoC range, each ageing set consisted of 256 cycles over the 0-30% SoC range (discharge to 2.5 V, charge by passing 1500 mA h (== 0.3*nominal capacity)). C-rates were 0.3C for charge, and 1C for discharge. For cells aged in the 0-100% SoC range, each ageing set consisted of 78 cycles over the full SoC range (discharge to 2.5 V, charge to 4.2 V with CV hold till C/100). C-rates were 0.3C for charge, and 1C for discharge. Reference Performance Tests (RPTs): All cells were characterised at beginning of life (BoL) and after each ageing set using a reference performance test (RPT). The RPT was always performed at 25°C. Two different RPT procedures were used: a longer procedure which was performed after each even-numbered ageing set, and a shorter procedure which was used after each odd-numbered ageing set. Both procedures are detailed below. A CC-CV charge at 0.3C to 4.2 V, 4.2 V till C/100 was performed between each step of the procedures. Long RPT procedure: C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V). C/2 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V). GITT discharge at 0.5C; 25 pulses with each pulse passing 200 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses). GITT discharge at 0.5C; 5 pulses with each pulse passing 1000 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses). Short RPT procedure: C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V). Hybrid CC-pulse test with average current of C/2. A baseline DC current of C/2 was applied with an HPPC-type profile superimposed on top. This was done for discharge and charge (with voltage limits of 2.5 V and 4.2 V). Hybrid CC-pulse test with average current of 1C. A baseline DC current of 1C was applied with an HPPC-type profile superimposed on top. This was done for discharge only (with a voltage limit of 2.5 V). Extracted Data - Main One csv file exists for each cell being tested, summarising the important data extracted from the ageing cycles and the RPTs. This includes: Ageing Set: numbered 0 (BoL) to x, where x is the number of ageing sets the cell has been subject to. Ageing Cycles: number of ageing cycles the cell has been subject to. *this is not equivalent full cycles. Ageing Set Start Date/ End date: The date that each ageing set began/ ended. Days of Degradation: Number of days between the date of the first ageing set beginning and the current ageing set ending. Age Set Average Temperature: average recorded surface temperature of the cell during cycle ageing. Temperature was recorded approximately 1/2 way up the length of the cell (i.e. between positive and negative caps) using a K-type thermocouple. Units: °C. Charge Throughput: total accumulated charge recorded during all cycles during ageing (i.e. sum of charge and discharge). This is the cummulative total since BoL (not including RPTs). Units: Ah. Energy Throughput: as with "charge throughput", but for energy. Units: Wh. C/10 Capacity: the capacity recorded during the C/10 discharge test of each RPT. Units: mAh. C/2 Capacity: the capacity recorded during the C/2 discharge test of each even-numbered RPT. Units: mAh. 0.1s Resistance: The resistance calculated from the 25-pulse GITT test of each even-numbered RPT. This value is taken from the 12th pulse of the procedure (which corresponds to ~52% SoC at BoL). The resistance is calculated by dividing the voltage drop by the current at a timecale of 0.1 seconds after the current pulse is applied (the fastest timescale possible under the 10 Hz recording condition). Units: Ohms. Extracted Data - Degradation Modes: Degradation Mode Analysis (DMA) was also performed on the C/10 discharge data at each RPT. This analysis uses an optimisation function to determine the capacities and offset of the positive and negative electrodes by calculating a full cell voltage vs capacity curve using 1/2 cell data and comparing against the experimentally measured voltage vs capacity data from the C/10 discharge. The results of this analysis are saved in the DMA folder, with 4 csv files for each cell, which contain data for all RPTs. The 4 files contain: Fitting parameters: output from the DMA optimisation function; 5 parameters which detail the upper/lower lithitation fractions of each electrode and the capacity fraction of graphite in the negative electrode. Capacity and offset data: calculated based on the fitting parameters above alongside the measured C/10 discharge capacity. DM data: Quantities of LLI, LAM-PE, LAM-NE, LAM-NE-Gr, and LAM-NE-Si calculated from the change in capacities/offset of each electrode since BoL. RMSE data: the root-mean-square error of the optimisation function calculated from the residual between the measured and calculated voltage vs capacity profiles. Timeseries data from RPTs: Timeseries datafiles from the Biologic battery cycler which have been exported to csv and sliced for each step of each RPT procedure to help with future use of the data. Files contain [time, voltage, current, charge, temperature] data. Jupyter Notebook: A jupyter notebook has been included to aid futher use of this data. The notebook shows how to load the data into pandas DataFrame objects and provides a couple of example plots to view the datasets. Notes: A faulty electrical connection to cell A of Expt 5 (i.e. one of the cells being aged at 0-100% SoC at 10°C) during RPT4 led to erroneous results for that performance check (as evidenced in the 0.1s resistance value). The faulty electrical connection was fixed prior to subsequent cycling but the RPT was not repeated. We have kept the data collected during this RPT as part of the dataset, so caution should be used when using this specific portion. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | This dataset provides robust and extensive evidence on the ageing behaviour of a commercial lithium-ion battery as a function of temperature and state-of-charge. It reveals the negative impact that silicon has on the lifetime of cells containing silicon-graphite negative electrodes, and how the rate of ageing is usage-dependent. There is currently a dearth of high quality, open source datasets on the ageing behaviour of commercial lithium-ion cells. These types of dataset are essential for the parameterisation of empirical degradation models and for validation of physics-based degradation models. This dataset will therefore be an extremely valuable resource for the MSM project and the wider battery modelling community |
| URL | https://zenodo.org/record/7235857 |
| Title | FIRG025 - Digital SEI model |
| Description | We are developing a computational model of the Solid-Electrolyte Interphase (SEI) which is a very complex and not well understood component, essential for the operation of the Li-ion batteries and also involved in degradation processes over time. For this we are combining experimental input from the Faraday Institution Degradation project and large-scale DFT and DFTB simulations from the ONETEP linear-scaling program. This will be a valuable asset to all researchers working on batteries that will lead to improved materials for batteries. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Model is under development so it has not been used yet for predictions |
| Title | FIRG025 - Model and parameter optimisation code for paper on anisotropic thermal-conductivity characterisation with thermography |
| Description | We propose a novel thermal characterisation approach for measuring the anisotropic thermal conductivity of large-format lithium-ion pouch cells with infrared thermography. An optimization algorithm is developed with codes provided in this repository to characterize the three-dimensional thermal conductivity. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | This code enables measurement of battery heat capacity and thermal conductivity using a new technique |
| URL | https://github.com/Battery-Intelligence-Lab/battery-thermal-characterisation |
| Title | FIRG025 - Multiscale coupling of atomistic simulations with higher scale models for batteries |
| Description | We are developing appropriate parametrisations and workflows to link large length and time-scale atomistic DFTB simulations with the ONETEP program to DFN simulation models for batteries such as in the PyBAMM program. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | The model is currently under development and we are focusing on predicting diffusion coefficients from atomistic simulations to be used in PyBAMM simulations. A unique strength of this approach is that it can be applied to virtually any material overcoming the lack of experimentally available parameters. |
| Title | FIRG025 - PyBaMM Solvent consumption model |
| Description | This is a model which can reproduce the results in the paper "Modelling Solvent Consumption from SEI Layer Growth in Lithium-Ion Batteries". DOI 10.1149/1945-7111/ac6f84 |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Cited three times |
| Title | FIRG025 - PyBaMM submodule for phase changing electrodes |
| Description | The model is the first PyBaMM implementation of a physics-based description of phase change inmaterials such as LFP/LMFP and graphite. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | None as yet, but upon being merged into main branch expect use by the worldwide PyBaMM community. |
| URL | https://pybamm.org/ |
| Title | FIRG025 - Underlying dataset for battery pack degradation - Understanding aging in parallel-connected lithium-ion batteries under thermal gradients |
| Description | This record constitutes the raw data underlying the paper "Battery pack degradation - Understanding aging in parallel-connected lithium-ion batteries under thermal gradients" (preprint link) The dataset contains all raw data, processed data and analysis codes used to generate figures in the publication. Abstract is as follows: Practical lithium-ion battery systems require parallelisation of tens to hundreds of cells, however understanding of how pack-level thermal gradients influence lifetime performance remains a research gap. Here we present an experimental study of surface cooled parallel-string battery packs (temperature range 20-45 °C), and identify two main operational modes; convergent degradation with homogeneous temperatures, and (the more detrimental) divergent degradation driven by thermal gradients. We attribute the divergent case to the, often overlooked, cathode impedance growth. This was negatively correlated with temperature and can cause positive feedback where the impedance of cells in parallel diverge over time; increasing heterogeneous current and state-of-charge distributions. These conclusions are supported by current distribution measurements, decoupled impedance measurements and degradation mode analysis. From this, mechanistic explanations are proposed, alongside a publicly available aging dataset, which highlights the critical role of capturing cathode degradation in parallel-connected batteries; a key insight for battery pack developers. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Open source battery pack degradation dataset allowing researchers and practitioners to validate their models. |
| URL | https://zenodo.org/doi/10.5281/zenodo.10207731 |
| Title | FIRG025 - Upgrades to ONETEP |
| Description | Upgrades to ONETEP to include interfaces have been added. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | ONETEP (Order-N Electronic Total Energy Package) is a linear-scaling code for quantum-mechanical calculations based on density-functional theory. |
| URL | https://www.onetep.org/ |
| Title | FIRG025 - ndrewwang/liiondb: First release of LiionDB |
| Description | http://www.liiondb.com/ |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Database of publicly available parameters for lithium ion battery models. |
| URL | https://zenodo.org/record/5574514 |
| Title | FIRG026 - A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning |
| Description | The application of machine learning models to predict material properties is determined by the availability of high-quality data. We present an expert-curated dataset of lithium ion conductors and associated lithium ion conductivities measured by a.c. impedance spectroscopy. This dataset has 820 entries collected from 214 sources; entries contain a chemical composition, an expert-assigned structural label, and ionic conductivity at a specific temperature (from 5 to 873 °C). There are 403 unique chemical compositions with an associated ionic conductivity near room temperature (15-35 °C). The materials contained in this dataset are placed in the context of compounds reported in the Inorganic Crystal Structure Database with unsupervised machine learning and the Element Movers Distance. This dataset is used to train a CrabNet-based classifier to estimate whether a chemical composition has high or low ionic conductivity. This classifier is a practical tool to aid experimentalists in prioritizing candidates for further investigation as lithium ion conductors. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Enhancement of machine learning models for prediction of Li ion conductivity in solid state materials. |
| Title | FIRG026 - CCDC 2096248: Experimental Crystal Structure Determination |
| Description | Related Article: Wilfred T. Diment, Georgina L. Gregory, Ryan W. F. Kerr, Andreas Phanopoulos, Antoine Buchard, Charlotte K. Williams|2021|ACS Catalysis|11|12532|doi:10.1021/acscatal.1c04020 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | x-ray structure data |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc28c9xw&sid=DataCite |
| Title | FIRG028 - DFT calculations - model |
| Description | In SafeBatt's modelling activities, e.g. using HPC, through DFT calculations much data has been collated on the species and complexes present in the reaction system of Li-ion battery thermal decomposition. The thermokinetic data calculated from DFT is required to determine the reaction kinetics of individual reaction steps, critical to defining a micro-kinetic model. Currently, this includes 10s of species and 100s of complexes. As the calculations required to determine these values can take significant computational and labour time it is a valuable resource. This data will be made available upon publication of the work. |
| Type Of Material | Data analysis technique |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | As the calculations required to determine these values can take significant computational and labour time it is a valuable resource. This data will be made available upon publication of the work. |
| Title | FIRG028 - image processing toolbox t allow quantification of high-speed X-ray radiography image |
| Description | High-speed X-ray radiography is proven to be a valuable tool to capture events occurring during cell failure, but the observations made remain largely qualitative. UCL has developed a robust image processing toolbox that can quantify, for the first time, the rate of propagation of battery failure mechanisms revealed by high-speed X-ray radiography. Using Gabor filters and cross-correlating the Gabor signals, practical, illustrative spatiotemporal maps of the failure events are produced. From these, the propagation rates of electrode displacement prior to the onset of thermal runaway can be quantified. The assistive toolbox can also be used to study other types of failure mechanisms, extracting otherwise unattainable kinetic data. Ultimately, this tool can be used to not only validate existing theoretical mechanical models, but also standardise battery failure testing procedures. |
| Type Of Material | Data analysis technique |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Published as a technique but not sure the code is available High-speed X-ray radiography is proven to be a valuable tool to capture events occurring during cell failure, but the observations made remain largely qualitative. UCL has developed a robust image processing toolbox that can quantify, for the first time, the rate of propagation of battery failure mechanisms revealed by high-speed X-ray radiography. Using Gabor filters and cross-correlating the Gabor signals, practical, illustrative spatiotemporal maps of the failure events are produced. From these, the propagation rates of electrode displacement prior to the onset of thermal runaway can be quantified. The assistive toolbox can also be used to study other types of failure mechanisms, extracting otherwise unattainable kinetic data. Ultimately, this tool can be used to not only validate existing theoretical mechanical models, but also standardise battery failure testing procedures. |
| Title | FIRG031 - Anode coatings for garnet-type solid-state batteries |
| Description | Data underpinning: The performance of garnet-type solid-state batteries can be improved by applying an additional layer at the anode side to decrease interfacial resistance. Here, we combine a high-throughput framework with DFT calculations to identify new promising anode coating candidates. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | All-solid-state batteries provide a promising solution for the problems encountered in traditional Li-ion batteries. By replacing organic liquid electrolytes with inorganic solid-state electrolytes (SSEs), all-solid-state batteries often show higher electrochemical stability and safety. |
| URL | https://risweb.st-andrews.ac.uk/portal/en/datasets/computational-screening-of-anode-coatings-for-gar... |
| Title | FIRG055 - VIPER project cloud model |
| Description | The VIPER project consisted of a lithium-ion battery model to run on a BMS and a model capable of running on the cloud. The included ink is a Github repository of the lithium ion battery model that was shared with Eatron for their Cloud simulations. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2024 |
| Provided To Others? | No |
| Impact | Eatron are evaluating the BMS + Cloud model framework with a customer to understand it's viability as a potential product offering. |
| URL | https://github.com/brosaplanella/COBRA |
| Description | EP/S003053/1 - Cummins |
| Organisation | Cummins |
| Country | United States |
| Sector | Private |
| PI Contribution | Discussions around aspects of the end-of-life management of EV LIBs and provision of materials for research purposes. |
| Collaborator Contribution | Discussions around aspects of the end-of-life management of EV LIBs and provision of materials for research purposes. |
| Impact | CDA signed by both parties. Confidential discussions in progress |
| Start Year | 2020 |
| Description | EP/S003053/1 - FS-DEG: Averey Chan, 4th year Masters student |
| Organisation | Massachusetts Institute of Technology |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Averey Chan, who is a 4th year Masters student at the Department of Materials at Imperial College, has been a visitor at Prof. Yang Shao-Horn's group at the Department of Mechanical Engineering at MIT from July to December 2018. |
| Collaborator Contribution | Averey has been working on a few different projects in relation to Li ion battery degradation, including work on NMC electrodes. Averey will bring to Imperial and Faraday Institution knowledge on electrode preparation, in particular in relation to model binder-free electrodes. |
| Impact | Averey will bring to Imperial and Faraday Institution knowledge on electrode preparation, in particular in relation to model binder-free electrodes. |
| Start Year | 2018 |
| Description | EP/S003053/1 - FS-DEG: WMG Graduate Placement Scheme |
| Organisation | University of Warwick |
| Department | Warwick Manufacturing Group |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | WMG Graduate Placement Scheme funded for 3 months "Cycling induced degradation of Ni-rich cathode in Li-ion Batteries" |
| Collaborator Contribution | WMG Graduate Placement Scheme funded for 3 months "Cycling induced degradation of Ni-rich cathode in Li-ion Batteries" |
| Impact | WMG Graduate Placement Scheme funded for 3 months "Cycling induced degradation of Ni-rich cathode in Li-ion Batteries" |
| Start Year | 2018 |
| Description | EP/S003053/1 - FS-REL: Analysis of biogenic nanoparticles using High-resolution transmission electron microscopy (HRTEM) |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The University of Edinburgh synthesised Co and Ni nanoparticles that were delivered thereafter to the University of Liverpool. |
| Collaborator Contribution | The size, shape, elemental composition and oxidation state of the biogenic nanoparticles were analysed at the University of Liverpool using High-resolution transmission electron microscopy (HRTEM) and Energy-dispersive X-ray spectroscopy (EDX) and electron energy loss spectroscopy (EEls). |
| Impact | "1) Dissolved forms of Ni and Co can be recovered biologically using the bacterium species D. alaskensis. 2) The analysis performed at the University of Liverpool confirmed that Co and Ni-based nanoparticles have been produced. " |
| Start Year | 2018 |
| Description | EP/S003053/1 - FS-REL: Analysis of biogenic nanoparticles using High-resolution transmission electron microscopy (HRTEM) |
| Organisation | University of Liverpool |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The University of Edinburgh synthesised Co and Ni nanoparticles that were delivered thereafter to the University of Liverpool. |
| Collaborator Contribution | The size, shape, elemental composition and oxidation state of the biogenic nanoparticles were analysed at the University of Liverpool using High-resolution transmission electron microscopy (HRTEM) and Energy-dispersive X-ray spectroscopy (EDX) and electron energy loss spectroscopy (EEls). |
| Impact | "1) Dissolved forms of Ni and Co can be recovered biologically using the bacterium species D. alaskensis. 2) The analysis performed at the University of Liverpool confirmed that Co and Ni-based nanoparticles have been produced. " |
| Start Year | 2018 |
| Description | EP/S003053/1 - FS-SOL: Morgan PLC NDA |
| Organisation | Morgan Advanced Materials |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Morgan have agreed to provide samples to us (500g-1kg LLZO). |
| Collaborator Contribution | Non disclosure agreement signed. Morgan have agreed to provide samples to us (500g-1kg LLZO). |
| Impact | n/a |
| Start Year | 2018 |
| Description | EP/S003053/1 - FS-SOL: Nissan NDA |
| Organisation | Nissan Motor Company |
| Country | Japan |
| Sector | Private |
| PI Contribution | NDA's signed with Nissan in order to explore further opportunities for collaboration |
| Collaborator Contribution | NDA's signed with Nissan in order to explore further opportunities for collaboration |
| Impact | n/a |
| Start Year | 2018 |
| Description | EP/S003053/1 - FS-SOL: Toshiba NDA |
| Organisation | Toshiba |
| Country | Japan |
| Sector | Private |
| PI Contribution | NDA's signed with Toshiba in order to explore further opportunities for collaboration |
| Collaborator Contribution | NDA's signed with Toshiba in order to explore further opportunities for collaboration |
| Impact | n/a |
| Start Year | 2018 |
| Description | EP/S003053/1 - Horiba Mira DTP Case Studentship |
| Organisation | Horiba |
| Department | HORIBA MIRA |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Developing solid state battery protocols, contribution to technical workshops |
| Collaborator Contribution | Providing insight to student's work, facilities access |
| Impact | Technical workshops, joint studentship (DTP CASE) |
| Start Year | 2021 |
| Description | EP/S003053/1 - TES-AMM |
| Organisation | TES AMM Singapore Pte Ltd |
| Country | Singapore |
| Sector | Private |
| PI Contribution | Discussions around aspects of the end-of-life management of EV LIBs and potential investment in recycling in UK. |
| Collaborator Contribution | Discussions around aspects of the end-of-life management of EV LIBs and potential investment in recycling in UK. |
| Impact | CDA signed by both parties. Confidential discussions in progress |
| Start Year | 2020 |
| Description | EP/S003053/1 - UCL I15 Diamond |
| Organisation | Diamond Light Source |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of operando cells, reconstruction methods, electrochemical methods |
| Collaborator Contribution | Supervision, technique development, data processing, consumables for cell development |
| Impact | Commissioning beamtime, development of PDF CT capability at I15 |
| Start Year | 2022 |
| Description | EP/S003053/1 - UCL ID15 ESRF |
| Organisation | European Synchrotron Radiation Facility |
| Country | France |
| Sector | Charity/Non Profit |
| PI Contribution | Operando cell development, electrochemical knowledge, technique development, data handling/processing |
| Collaborator Contribution | Technique development, supervision, experimental capability, reconstruction approaches, data processing |
| Impact | Commissioning beamtime |
| Start Year | 2022 |
| Description | EP/S003053/1 - UCL NREL |
| Organisation | U.S. Department of Energy |
| Department | National Renewable Energy Laboratory (NREL) |
| Country | United States |
| Sector | Public |
| PI Contribution | Collaborative research into state of charge heterogeneities in battery materials via operando diffraction |
| Collaborator Contribution | Collaborative research into state of charge heterogeneities in battery materials via operando diffraction |
| Impact | Beamtime applications |
| Start Year | 2019 |
| Description | EP/S003053/1 - UCL-Nexeon |
| Organisation | Nexeon |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Materials characterisation, X-ray CT, PDF CT |
| Collaborator Contribution | Materials supply and development, knowhow |
| Impact | Further innovate UK funding |
| Start Year | 2022 |
| Description | EP/S003053/1 - UCL-UNSW |
| Organisation | University of New South Wales |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Collaboration on effect of additives on SEI formation with Wes Dose of UNSW. Use of acoustic measurements from UCL |
| Collaborator Contribution | Additive knowledge, hosting researcher, joint beamtime application |
| Impact | Successful beamtime in ANSTO, Researcher Development and Travel Grant application from the RSC (£500) |
| Start Year | 2023 |
| Description | EP/S003053/1 - UCL/ESA/ABSL |
| Organisation | ESA - ESTEC |
| Country | Netherlands |
| Sector | Public |
| PI Contribution | ESA funding for a project on battery degradation prediction/determination through high precision coulometry awarded to UCL (with PhD student Alexander Dimitrijevic), 8 month placement of PhD student at ESTEC facilities and cells and knowhow transferred. |
| Collaborator Contribution | Access to equipment, funding of part of AD's PhD, supervision, knowhow/expertise, consumables etc |
| Impact | Papers in preparation |
| Start Year | 2022 |
| Description | FIEF006 - Thermoanalytics Partnership to include our data in their platform |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Public partnership started with a webinar to cover: A database of information on over 400 commercially available cells that can be used to select the right one for your application, including detailed models for a selection of them Models in the database that include equivalent circuit models (ECMs), split-ECMs, single particle (SPM) electrochemical models, Doyle-Fuller-Newman (DFN) electrochemical models, and the thermal properties that correspond to each cell |
| Collaborator Contribution | Thermoanalytics providing marketing and distribution for our technology |
| Impact | webinar and partnership |
| Start Year | 2023 |
| Description | FIEF007 - Nyobolt |
| Organisation | Nyobolt |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Provision of Analytical Services |
| Collaborator Contribution | Provision of Materials |
| Impact | confidential |
| Start Year | 2023 |
| Description | FIEF007 - WMG |
| Organisation | University of Warwick |
| Department | WMG |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provision of Analytical Services |
| Collaborator Contribution | Provision of Materials |
| Impact | confidential |
| Start Year | 2022 |
| Description | FIIF001 - Nyobolt - FIIF 001 and FIIF 010 |
| Organisation | Nyobolt |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Industry Fellowship is in partnership with Nyobolt Ltd. and has supported the success and expansion of the company through the rapid development of industry relevant prototype battery cells utilizing the company's world leading materials. As reported in the FI Success story (https://www.faraday.ac.uk/success-stories/accelerating-nyobolts-drive/), 'The prototype devices developed under this program were essential to demonstrate the potential of Nyobolt's technology and, in so doing, helped secure a £8m Series A investment for Nyobolt early in 2021. This investment helps to ensure the continued future growth of Nyobolt, to build battery technology leadership in the UK and to enhance the battery supply chain in the UK.' Furthermore, the project PI was interviewed and presented information as part the investment process to potential investors. Through the ongoing work together, the company's expansion and growth is being supported through new product prototyping and demonstration, along with knowledge transfer and training activities provided at the laboratories at Coventry University by project fellows to Nyobolt's staff. This knowledge transfer is ongoing and has included several visits of Nyobolt staff to Coventry labs but also a visit of project PI to Nyobolt facilities in USA. The Coventry team has also been involved in advising on and specification of equipment and facilities as Nyobolt expands and plans for the future, along with enabling access to facilities for cell development and testing not otherwise available. |
| Collaborator Contribution | Nyobolt has offered insight and training into the business aspects of a start up and how it develops through regular communication and mentorship of the PI by the company's CEO and other senior staff. Extensive training and knowledge transfer has been given to both Fellows in areas of battery development from the Nyobolt staff and consultants. This knowledge has come from an industrial environment and is not generally available to the academic community and has had a considerably positive effect on the the University staff with huge learnings that are not available in the academic press, with the non-proprietary information being utilized in training the scientist of the future in the Coventry University labs. The association with Nyobolt has brought commercial and academic R&D opportunities that are being pursued through the publicity that has come, along with the introductions made by the company of project staff to their network and also through the association with what is seen as a ground breaking technology and material. Introductions made by Nyobolt have opened avenues to suppliers of battery components and materials not previously available (often difficult to engage such suppliers in battery industry as a University). |
| Impact | Further funding: The Faraday Institution: FIIF-010 - FIIF010 Industrial Fellowship: Niobium Based High Power Prototype Batteries Plus - NioProBat+ (£ 55243; 2021 - 2022) Engagement activities: Participation in an activity, workshop or similar - Invited talk as part of Faraday Institution 2nd Year PhD cohort training A talk or presentation - Invited talk at Seminar of the Advanced Technology Institute, University of Surrey A talk or presentation - Faraday Institution Masterclass (online) Awards and recognition: Appointed as the editor/advisor to a journal or book series - Guest Associate Editor in the journal Frontiers in Chemical Engineering, Electrochemical Engineering (2021) |
| Start Year | 2020 |
| Description | FIIF003 - PhD and MSc thesis projects collaborations |
| Organisation | Delta Motorsport |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | As a result of this fellowship project, Delta-Cosworth and Cranfield University decided to define a number of MSc thesis projects to achieve the following goals: 1- To contribute into the current projects at Delta and supporting them by exploring new areas. 2- To provide new opportunities for students to work closely with an industrial partner and improve their learning experience. 3- To strengthen the collaborations between Delta-Cosworth and Cranfield University and thinking about further opportunities. Myself and the MSc students could contribute to Delta's BMS development by proposing new models and estimators. |
| Collaborator Contribution | Delta-Cosworth contributed in two main areas: (1) providing complementary supervision of MSc students by having regular meetings with them. and (2) providing test data and specifications of their cells/battery packs. |
| Impact | MSc thesis report entitled "THERMAL MODELLING AND OPTIMIZATION OF A HIGH-PERFORMANCE EV BATTERY PACK USING CFD", by Nicolas Valencia Contecha, 2020. MSc thesis report entitled "ELECTRIC VEHICLE RANGE ESTIMATION AND THE EFFECT OF TEMPERATURE", by Lang Mao, 2021. MSc thesis report entitled "High Fidelity FEM based Thermal Analysis of a cylindrical Lithium-ion cell", by Muralidharan Jayaram, 2021. PhD study entitled "Applications of Machine Learning Techniques for Battery Thermal Management", by Rusen Alp Akpinar, 2022-present. |
| Start Year | 2020 |
| Description | FIIF004 - Work with Cornish Lithium materials |
| Organisation | Cornish Lithium Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Dr Glen Murray used Cornish Lithium materials in conjunction with TFP Hydrogen to look at these to develop FutureCat research on cathodes for lithium ion batteries. |
| Collaborator Contribution | Provision of materials |
| Impact | Further development of relationship between Cornish Lithium and TFP Hydrogen. |
| Start Year | 2021 |
| Description | FIIF007 - Industrial partnership with Echion Technologies |
| Organisation | Echion Technologies |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The project is a partnership with Echion Technologies |
| Collaborator Contribution | The project is directly linked with Echion Technologies with material transfer and testing at both UoB and Echion |
| Impact | A patent was submitted in December 2021 |
| Start Year | 2021 |
| Description | FIIF013 - Imperial-Williams Advanced Engineering |
| Organisation | Williams Advanced Engineering |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | We provided battery diagnostic techniques, testing facilities, modelling approaches, experimental procedures to the collaboration which aims to diagnose battery lifetime and improve it. |
| Collaborator Contribution | Williams Advanced Engineering have provided engineering support and focus of application areas for diagnostic tools and commercially relevant cells |
| Impact | Paper on battery diagnostics which is under review |
| Start Year | 2021 |
| Description | FIIF016 - CU & Delta-Cosworth bespoke battery parametrisation |
| Organisation | Cosworth |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Faraday Institution Industry Fellowship enabled advances to unique thermodynamic sensing technology developed at CU, which subsequently resulted in successful delivery of bespoke battery parametrisation project with Delta-Cosworth. Our contribution revolves around custom-made sensors, know-how on battery cell modification and thermodynamic parameters evaluation expertise. The otherwise-inaccessible cell data produced is applicable in significantly enhancing accuracy of power maps and battery models, improving battery performance and lifetime estimators. |
| Collaborator Contribution | Delta-Cosworth provided financial resources for this collaboration, alongside their extensive battery modelling expertise, which unlocked the full potential of the unique cell data produced by CU. The output and its implementation is currently confidential. |
| Impact | The most immediate output enhances Delta-Cosworth's technology, strengthening its standing in the UK battery value chain. It is highly relevant to Delta-Cosworth's commercial activities, and is therefore confidential. On the academic's side, deployment of this unique research methodology on a commercial product served to validate its effectiveness and reliability, which was one of the goals of this Industrial Fellowship. Finally, this partnership further improved academic ties with industry partners, leading to better bilateral understanding of technological needs, capabilities and limitations. |
| Start Year | 2022 |
| Description | FIRG001 - Collaboration with MIT |
| Organisation | Massachusetts Institute of Technology |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | My masters student, Averey Chan, visited Yang Shao-Horn's group at MIT to investigate novel anodes for Li ion batteries based on Al. It resulted in a paper where he is first author. I have previously collaborated with Shao-Horn extensively. However, this is the first time we have worked together on Li ion battery degradation. Averey brought to Imperial College experimental knowhow of how to conduct studies on model battery electrodes. |
| Collaborator Contribution | Shao-Horn provided all experimental facilities. |
| Impact | A paper in J. Electrochem. Soc where my masters student is first author. |
| Start Year | 2015 |
| Description | FIRG001 - Diamond Light Source |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Providing scientific input and direct expertise into how set up/ run and test insitu liquid TEM experiments of Li-ion batteries. Development of new capabilities at Diamond Light Source. |
| Collaborator Contribution | Scientific input into proposals, discussion on experiments, commissioning time. Providing access to electron microscopes. |
| Impact | The collaboration in still ongoing and plan for joint proposal to have PDRA placed at Diamond is being prepared. |
| Start Year | 2018 |
| Description | FIRG001 - Faraday Institution Solid State Battery Fast Start Project |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The PI collaborates with Prof. Norman Fleck and jointly supervise a PhD student to examine chemical and mechanical origins for SSBs |
| Collaborator Contribution | Prof. Fleck is a world-renowned expert on mechanical properties of ceramics. We are developing models for cracking and dendrite formation. |
| Impact | Involves collaboration between chemists and mechanical engineers |
| Start Year | 2018 |
| Description | FIRG001 - In-kind support from Johnson Matthey |
| Organisation | Johnson Matthey |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The partnership has involved the development of materials for redox flow batteries and related energy storage systems |
| Collaborator Contribution | Johnson Matthey have provided in-kind support through laboratory visits between PDRAs and JM laboratories, participation at workshops and networking events, and as members of an expert review panel for a flexible funding call for projects to develop materials for redox flow batteries. |
| Impact | Collaboration is ongoing with impact known after the grant ends |
| Start Year | 2017 |
| Description | FIRG001 - In-kind support from NPL |
| Organisation | National Physical Laboratory |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Support from NPL allowed collaborations into properties of organic materals for hybrid optoelectronic and thermoelectric applications |
| Collaborator Contribution | NPL provided in-kind support through knowledge exchange, laboratory visits, load of equipment, and attendance at conferences, workshops, industry discussion meetings, and other CAM-IES events. |
| Impact | The co-investigators continue ongoing collaborations with NPL |
| Start Year | 2017 |
| Description | FIRG001 - JLR |
| Organisation | Jaguar Land Rover Automotive PLC |
| Department | Jaguar Land Rover |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Joint collaboration on a research project, including researchers from the Degradation Project and Multiscale modelling, as well as JLR. |
| Collaborator Contribution | Providing materials, scientific discussion, personnel attending meetings |
| Impact | Confidential |
| Start Year | 2019 |
| Description | FIRG001 - Rolls ROyce |
| Organisation | Rolls Royce Group Plc |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Investigation of 2d materials as supercapacitors for energy storage |
| Collaborator Contribution | Industrial know-how, applicability/end use testing of devices |
| Impact | Project is still ongoing |
| Start Year | 2017 |
| Description | FIRG001 - SPM studies on NMC811 |
| Organisation | Empa - Swiss Federal Laboratories for Materials Science and Technology |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | SPM studies |
| Collaborator Contribution | supply NMC811 thin films |
| Impact | Project onging |
| Start Year | 2020 |
| Description | FIRG001 - Sheffield Degradation |
| Organisation | University of Sheffield |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Research |
| Collaborator Contribution | Research |
| Impact | tbc |
| Start Year | 2018 |
| Description | FIRG001 - Soton-HMGCC |
| Organisation | Her Majesty's Government Communications |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Developed new set-up for analysis of gas evolution and performed measurements with selected Li-ion battery electrodes to test effect of different manufacturing approaches. |
| Collaborator Contribution | Provided expert advice on Li-ion battery commercial standards and funding of a PhD studentship. |
| Impact | Improving in understanding of gas evolution from Li-ion batteries |
| Start Year | 2018 |
| Description | FIRG001 - UCL - ThermoFisher |
| Organisation | Thermo Fisher Scientific |
| Country | United States |
| Sector | Private |
| PI Contribution | Provided cells and CT data for a collaborative project. PDRA conducted lab exchange to test experimental procedures, agreement to beta test software |
| Collaborator Contribution | Access to microscopy equipment, correlative imaging of batteries |
| Impact | Conference presentations, paper in preparation |
| Start Year | 2018 |
| Description | FIRG001 - UCL _ McGill |
| Organisation | McGill University |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Hosted a PhD student and allowed access to equipment for a collaborative research project |
| Collaborator Contribution | Materials provided for a collaborative research project, travel grant for student to come to london |
| Impact | Paper in preparation Exchange between the two labs |
| Start Year | 2019 |
| Description | FIRG001 - UCL and NPL |
| Organisation | National Physical Laboratory |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Scientific input into discussions, materials, experiments |
| Collaborator Contribution | Collaboration on PhD student's project |
| Impact | Lab exchange with PhD student and NPL, defined standard protocols |
| Start Year | 2018 |
| Description | FIRG001 - UCL- ESRF |
| Organisation | European Synchrotron Radiation Facility |
| Country | France |
| Sector | Charity/Non Profit |
| PI Contribution | Numerous joint beam time proposals and co authored publications |
| Collaborator Contribution | Under the auspices of the Degradation project we have had interactions and beam time at ID15 and ID19 - this has led to an LTP applciation |
| Impact | See: |
| Start Year | 2018 |
| Description | FIRG001 - UCL- JM |
| Organisation | Johnson Matthey |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Collaboration with JM to understand morphology and safety of battery materials |
| Collaborator Contribution | Application of advanced characterisation techniques - leading to two PhD studentships |
| Impact | 2 x PhD studentship |
| Start Year | 2018 |
| Description | FIRG001 - UCL- Rolls Royce |
| Organisation | Rolls Royce Group Plc |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | We have started a sprint activity in battery safety with RR under the FI programme |
| Collaborator Contribution | We are investigating failure mechanisms of cells for aerospace applications |
| Impact | Project ongoing |
| Start Year | 2019 |
| Description | FIRG001 - UCL-Diamond Light Source |
| Organisation | Diamond Light Source |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Numerous joint beamtime proposals and publications, collaborative research projects and commissioning of equipment at diamond |
| Collaborator Contribution | Scientific input into proposals and paper writing, discussions on experimental protocols, commissioning time, a joint proposal for a Faraday PhD student, input into STFC experimental design awards Strong collaborations exist between UCL and Diamond beamlines i11, i12, i13, i14, B18 and i20 EDE |
| Impact | Publications already listed in this award Successful Faraday PhD student application with i11 STFC Experimental Design award for Andy Leach for a cell to use on B18 (£8000) |
| Start Year | 2018 |
| Description | FIRG001 - correlate degradation with electrochemical measurement |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | set up experiments and collect electrochemical data of consortium pouch cells, coin cells, cylindrical cells |
| Collaborator Contribution | use machine learning to diagnosis SoH and predict RUL of the cells |
| Impact | A paper with the title of "Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning" has been accepted by Nature Communications |
| Start Year | 2018 |
| Description | FIRG001 - industrial partner |
| Organisation | Johnson Matthey |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | academic knowledge on electrochemical energy storage |
| Collaborator Contribution | industrial input - testing and supply of materials. |
| Impact | too early, project only 15 months in |
| Start Year | 2017 |
| Description | FIRG001 - understanding the composition of SEI particularly at step edges |
| Organisation | University of Liverpool |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | using SPM to understand the morphology and XPS to understand the composition of SEI layer at each potential |
| Collaborator Contribution | using EEIS in EDX mode to understand the composition of SEI layer at step edges |
| Impact | Project ongoing |
| Start Year | 2020 |
| Description | FIRG001 - using low energy Raman to study the intercalation process |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | prepare anode materials with different stage of lithium ions intercalation |
| Collaborator Contribution | use low energy Raman to understand the intercalation process of lithium ions into graphene layers |
| Impact | Project ongoing |
| Start Year | 2020 |
| Description | FIRG001 - using microscopy and XPS to study the composition of SEI layer at each potential |
| Organisation | Newcastle University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | prepare samples for XPS |
| Collaborator Contribution | XPS analysis of the prepared samples |
| Impact | Project ongoing |
| Start Year | 2019 |
| Description | FIRG003 - Collaboration on battery lifetime and failure prediction from field data |
| Organisation | BBOXX |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of battery health estimation and lifetime/fault prediction algorithms applied to solar-off grid systems |
| Collaborator Contribution | BBOXX gave us access to their database of live operational data from hundreds of thousands of batteries |
| Impact | We have developed a technique to predict battery failure before it occurs, and are currently validating this and discussing with BBOXX how to implement it in their systems. |
| Start Year | 2018 |
| Description | FIRG003 - Collaboration with KIT |
| Organisation | Karlsruhe Institute of Technology |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Imperial (Offer) and Warwick (Widanalage) are working with researchers at KIT, that was a direct result of the visit in 2019. We expect this to lead to a joint publication. |
| Collaborator Contribution | Experimental and modelling studies. |
| Impact | to be updated, we expect a publication |
| Start Year | 2019 |
| Description | FIRG003 - EV-elocity |
| Organisation | A.T. Kearney |
| Country | United States |
| Sector | Private |
| PI Contribution | Processed customer usage data which will underpin the derivation of customer usage models. 2. Customer usage models which underpins the overall objective to understand user behaviour. 3. Processed battery degradation data which will provide understanding of causes, mechanism and effects of battery degradation. This data underpins the derivation of the degradation model as well as provides knowledge to partners. 4. Battery degradation models which severs the overall objective to understand impact of V2G cycling on EVs. 5. Detailed Economic model for V2G which will take into account system degradation, grid side requirements (e.g. energy supply/demand, costs, tariffs, etc.) and automotive side requirements (e.g. warranty, liability vehicle depreciation and recycling costs). Severs the overall objective to create a range of V2G business cases. 6. On-line decision-making algorithms that will demonstrate the models for virtual power plant (VPP) decision and optimal aggregation algorithms. |
| Collaborator Contribution | WP 0 (Project Management; Lead: AT-Kearney). Deliverables include the monitoring and reporting of progress through the: 2nd- Level Plan, Exploitation Plan, Risk Register and financial governance. WP 1 (Business case modelling and case study identification; Lead: Cenex). Milestone (M1: month 7) - production of a series of business cases suitable for V2G installation that will lead to site specifications for the project. The final deliverable (D2.4) requires continuous data from the project, supported by M7 delivery). WP 2 (Investment Customer Scenario Creation; Lead: AT-Kearney). Milestone (M2: month 24) is the completion of investor portfolios based on business cases defined in WP 1. WP 3 (V2G hardware procurement; Lead: Cenex). Primary deliverable is the development of a clear purchasing framework for the project that will then be converted to a guidance document. Milestone (M3: month 9) is selection of the hardware supplier. WP 4 (Stakeholder engagement and customer identification; Lead: AT-Kearney). Milestone (M4: month 9) is the installation of all hardware required within the project. WP 5 (Software Platform Development; Lead: Slamjam). Milestone (M5.1: month 15) is full software platform launch, integrated with hardware installed at site. A key element of this WP is evaluation of software operation, which is not completed until month 35. WP 6 (Trading Requirements Development; Lead: Toto Energy). Milestone (M6: month 14) is delivery of a centralised scheduling strategy fully integrated with the software platform. WP 7 (Data collection and monitoring; Lead: Cenex). Milestone (M7: month 6) is creation of a data summary routine for all data collection. |
| Impact | None Yet |
| Start Year | 2018 |
| Description | FIRG003 - EV-elocity |
| Organisation | Cenex |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed customer usage data which will underpin the derivation of customer usage models. 2. Customer usage models which underpins the overall objective to understand user behaviour. 3. Processed battery degradation data which will provide understanding of causes, mechanism and effects of battery degradation. This data underpins the derivation of the degradation model as well as provides knowledge to partners. 4. Battery degradation models which severs the overall objective to understand impact of V2G cycling on EVs. 5. Detailed Economic model for V2G which will take into account system degradation, grid side requirements (e.g. energy supply/demand, costs, tariffs, etc.) and automotive side requirements (e.g. warranty, liability vehicle depreciation and recycling costs). Severs the overall objective to create a range of V2G business cases. 6. On-line decision-making algorithms that will demonstrate the models for virtual power plant (VPP) decision and optimal aggregation algorithms. |
| Collaborator Contribution | WP 0 (Project Management; Lead: AT-Kearney). Deliverables include the monitoring and reporting of progress through the: 2nd- Level Plan, Exploitation Plan, Risk Register and financial governance. WP 1 (Business case modelling and case study identification; Lead: Cenex). Milestone (M1: month 7) - production of a series of business cases suitable for V2G installation that will lead to site specifications for the project. The final deliverable (D2.4) requires continuous data from the project, supported by M7 delivery). WP 2 (Investment Customer Scenario Creation; Lead: AT-Kearney). Milestone (M2: month 24) is the completion of investor portfolios based on business cases defined in WP 1. WP 3 (V2G hardware procurement; Lead: Cenex). Primary deliverable is the development of a clear purchasing framework for the project that will then be converted to a guidance document. Milestone (M3: month 9) is selection of the hardware supplier. WP 4 (Stakeholder engagement and customer identification; Lead: AT-Kearney). Milestone (M4: month 9) is the installation of all hardware required within the project. WP 5 (Software Platform Development; Lead: Slamjam). Milestone (M5.1: month 15) is full software platform launch, integrated with hardware installed at site. A key element of this WP is evaluation of software operation, which is not completed until month 35. WP 6 (Trading Requirements Development; Lead: Toto Energy). Milestone (M6: month 14) is delivery of a centralised scheduling strategy fully integrated with the software platform. WP 7 (Data collection and monitoring; Lead: Cenex). Milestone (M7: month 6) is creation of a data summary routine for all data collection. |
| Impact | None Yet |
| Start Year | 2018 |
| Description | FIRG003 - Joint research engagement with the Alan Turing Institute |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The FI MSM research outcomes supported to establish a working research relationship with the Alan Turing Institute. We used our FI MSM outputs to advance several new areas related to battery modelling. We worked on the "mechanistic" model development and utilised our validated battery models together with MSM common modelling framework tools (PyBAMM) to develop the modelling methodology. |
| Collaborator Contribution | The contributions from ATI were on the "stochastic" model development aspect of the project. They worked on the linking our models with their estimation methodologies to successfully implement the numerical schemes. ATI offered further funds (held by the corresponding ATI project coordinator) to hire a graduate student with the activity. |
| Impact | Thanks to the joint effort we published a high quality workshop paper at NeurIPS 2020 and was invited to several international talks. |
| Start Year | 2018 |
| Description | FIRG003 - Southampton - BIOVIA -Dassault Systemes |
| Organisation | Dassault Group |
| Department | BIOVIA |
| Country | United States |
| Sector | Private |
| PI Contribution | Development of new methods and capabilities for studying electrochemical systems within large-scale quantum mechanical simulations. These methods are developed within the ONETEP linear-scaling DFT program which is typically capable of calculations with one order of magnitude more atoms than conventional DFT programs, enabling the study realistic models of complex materials. |
| Collaborator Contribution | These developments in ONETEP will be integrated by Biovia/Dassault Systemes into the Materials Studio platform, which is used by multi-national companies with major stakes in batteries (e.g. Toyota). Via this route ONETEP is marketed to all major players in industry (e.g. Toyota) via a long term agreement with BIOVIA/Dassault Systemes (leading in commercial software for multiscale modelling of batteries) |
| Impact | A first paper has been submitted for publication |
| Start Year | 2018 |
| Description | FIRG003 - UCL- NPL |
| Organisation | National Physical Laboratory |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Porous electrode modelling in collaboration with NPL leading to award of NPL Measurement Fellowship |
| Collaborator Contribution | Porous electrode modelling in collaboration with NPL leading to award of NPL Measurement Fellowship |
| Impact | Dr Xuekun Li was awarded a NPL Measurement Fellowship |
| Start Year | 2018 |
| Description | FIRG003 - WMG - Alan Turing Institute (ATI) |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | - Exploiting MSM (XP4) outcomes with ATI to study Physics-informed statistical learning of battery lifetime - WMG, Warwick support with battery models and relevant data (collected at WMG) to develop hybrid models. |
| Collaborator Contribution | - Technical knowledge on Statistical Machine Learning from ATI - 1 Research staff support member from ATI |
| Impact | - A Journal for submission in March 2020 under preparation |
| Start Year | 2019 |
| Description | FIRG003 - Wiener-Anspach Foundation Postdoctoral Fellowship |
| Organisation | University Libre Bruxelles (Université Libre de Bruxelles ULB) |
| Country | Belgium |
| Sector | Academic/University |
| PI Contribution | Collaboration and supervision with Luis Couto Mendonca, the fellowship recipient. |
| Collaborator Contribution | Funding of fellowship research activities for 12 months |
| Impact | Nothing to report currently |
| Start Year | 2019 |
| Description | FIRG005 - ARKEMA |
| Organisation | Arkema |
| Country | France |
| Sector | Private |
| PI Contribution | confidential |
| Collaborator Contribution | confidential |
| Impact | CDA signed by both parties. Confidential discussions in progress |
| Start Year | 2021 |
| Description | FIRG005 - California Lithium-Ion Car Battery Recycling Advisory Group - CalEPA |
| Organisation | United States Environmental Protection Agency |
| Country | United States |
| Sector | Public |
| PI Contribution | Provided workshops to the Lithium-ion Car Battery Recycling Advisory Group was created to advise the Legislature on policies pertaining to the recovery and recycling of lithium-ion vehicle batteries sold with motor vehicles in the state. It is being led by the California Environmental Protection Agency (CalEPA), the Department of Toxic Substances Control (DTSC), and the Department for Resources Recycling and Recovery (CalRecycle). Additional members come from the environmental community, auto dismantlers, public and private representatives involved in the manufacturing, collection, processing and recycling of electric vehicle batteries, and other interested parties. The advisory group was formed in 2019 in response to Assembly Bill 2832 (Dahle, 2018). |
| Collaborator Contribution | provided the platform for the workshop |
| Impact | https://calepa.ca.gov/climate/lithium-ion-car-battery-recycling-advisory-group/meeting-minutes-for-10-13-20-lithium-ion-car-battery-recycling-advisory-group/ |
| Start Year | 2020 |
| Description | FIRG005 - Collaboration with Direct Line Group on robotic disassembly and health monitoring of EV batteries |
| Organisation | Direct Line Group plc |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Direct Line has funded a series of internships and student projects which have generated substantial results including peer reviewed publications. |
| Collaborator Contribution | Direct Line provided substantial funding. |
| Impact | Several peer reviewed papers and demos have resulted from these funded summer internships. |
| Start Year | 2020 |
| Description | FIRG005 - Further collaboration with Zero Carbon Futures |
| Organisation | Zero Carbon Futures Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | As a result of ReLiB, ReLiB team at Newcastle is active in a number of collaborative efforts with local industries (E.g. AESC Envision, Nissan Manufacturing UK), some of these projects and collaborative works exist because of the relationship both Newcastle University and these companies have with ZCF. ZCF typically manages the interactions through formal project management and dissemination duties. NU & ZCF are very active in generation of joint training exercises at many levels of industry. |
| Collaborator Contribution | Zero carbon futures assist in the management and dissemination of collaborative research projects between Newcastle University and prominent local industries (E.g. AESC Envision, Nissan Manufacturing UK). These projects are partially realised due to work undertaken on within ReLiB. ZCF is now wholly owned by Newcastle University but remains a separate identity. |
| Impact | A number of collaborative research projects with third parties, bilateral collaborative research, policy notes etc. |
| Start Year | 2014 |
| Description | FIRG005 - Further work with Nissan Manufacturing UK |
| Organisation | Nissan Motor Manufacturing Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Members of the ReLiB team at Newcastle University have gone on to work both in officially funded collaborations with NMUK as well as broader collaborative efforts in the areas of battery production, safety and recycling. Our team have delivered expertise and advise on various aspects of this. |
| Collaborator Contribution | The broader collaboration with NMUK leads to a far greater understanding within the project team of the demands of the industrial partner's needs in various aspects of their industry. |
| Impact | Further funding - collaborative & multidisciplinary |
| Start Year | 2011 |
| Description | FIRG005 - IEA Task 42 EV City Case book |
| Organisation | International Energy Agency (IEA) |
| Country | France |
| Sector | Charity/Non Profit |
| PI Contribution | I fed into the research and applications of the the IEA forecast and city case guide. This is supported by the declared ambitions of governments to phase out fossil fueled vehicles, including: Norway (2025), Ireland (2030), The Netherlands (2030), France (2040) and the UK (2040). This task explores the incentives, investments and infrastructure needed to support this growth and how policymakers should respond to this changing market. It will collect learning and best practice from existing and planned large scale deployments of EVs around the world. The task will also explore the role of governments in supporting this growth, including requirements to ramp-up supportive policies and how best to phase-out incentives and financial support. The objective of the task is to highlight key global developments, provide insights on the role of policymakers in accelerating the uptake of EVs and offer guidance on how best to phase out public support. It will seek to answer three key questions: What are the incentives, investments and infrastructure that will drive growth in markets for EVs? How can the public and private sector work together to accelerate widespread uptake of electric vehicles? How will public policy need to change over time? The team interviewed me and I also provide direct guidance in writing |
| Collaborator Contribution | Urban Foresight is managing and overlooking the project |
| Impact | city guide book, to be published |
| Start Year | 2020 |
| Description | FIRG005 - International Energy Agency Task 40 CRM4EV Critical Raw Material for Electric Vehicle |
| Organisation | International Energy Agency (IEA) |
| Country | France |
| Sector | Charity/Non Profit |
| PI Contribution | Inform the around ReLiB and more specifically about the LCA work we are doing |
| Collaborator Contribution | Electric Vehicles manufacturers are reducing the costs of EVs and at the same time improving the performance and longevity. Policymakers and other stakeholders forecast and plan an important role for EVs in reducing GHG and other emissions from transport. Several countries have announced a full or partial transition to ZEVs for personal cars with an important role for BEVs. With this projected mass deployment of EVs, attention is drawn to potential supply chain issues for several Critical Raw Materials (CRMs) needed for EV manufacturing. For materials, like Lithium, Cobalt, Graphite and Rare Earth Elements news headlines referring to these (potential) supply chain issues are now frequently seen in the main stream press. Reference is for example made to a potential lack of supply of these critical material availability or undesired environmental impacts or social impacts. |
| Impact | Define reporting deliverables (e.g. reports, analyses, publications, casebook) and maintain the information up to date considering the latest developments. List of EV Critical Raw Materials and "needs to know" for these CRMs List of Transport (vehicles) CRMs impacted by EVs (replacement) Short summary "Fact Sheets" on CRMs and CRM4EV topics (like recycling, LCA) Insights in the current mining, refining, main applications of the CMs Insight in planned and potential mining and refining capacities Insight in current and projected (scenarios) needs of the CMs Insight in need of the CRMs per unit, current and future Insight in alternatives of the CRMs (and impacts if alternative is used) Insight in recycling processes and legislation (Including collection potential) Workshops and dissemination at relevant conferences Yearly reports CRM4EV Casebook |
| Start Year | 2019 |
| Description | FIRG005 - JLR |
| Organisation | Jaguar Land Rover Automotive PLC |
| Department | Jaguar Land Rover |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | confidential |
| Collaborator Contribution | confidential |
| Impact | NDA and contract for initial workpackage signed by both parties. Further discussions in progress |
| Start Year | 2021 |
| Description | FIRG005 - Knowledge Transfer and Joint Policy Delivery |
| Organisation | Foreign Commonwealth and Development Office (FCDO) |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Joint symposia held on identifying opportunities to collaborate with India on the critical materials agenda. |
| Collaborator Contribution | participation in a workshop, hosting of reciprocal delegations to the UK. |
| Impact | Joint workshop on identifying mutual areas of research and collaborations. |
| Start Year | 2022 |
| Description | FIRG005 - Knowledge exchange and market intelligence Briefing |
| Organisation | Department for Business, Energy & Industrial Strategy |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Presentation made to the Zero Emission Vehicle Transition Council on the nature of research being undertaken at the University of Birmingham. |
| Collaborator Contribution | Supporting analysis of emerging technologies. |
| Impact | Potential policy ideas to address market failure and tech transfer to the global south. |
| Start Year | 2022 |
| Description | FIRG005 - Knowledge exchange and market intelligence meeting |
| Organisation | Altelium |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Imparting of recycling technologies knowledge, Recycling Li-ion Batteries market intelligence and research lines at the University of Birmingham and collaborators - NDA signed. |
| Collaborator Contribution | Improved market intelligence enabling the company to review strategic direction. |
| Impact | Improved industrial understanding on the capabilities of UK academic to recover spent valuable materials from batteries. |
| Start Year | 2022 |
| Description | FIRG005 - Knowledge exchange and market intelligence meeting |
| Organisation | BritishVolt |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Imparting of recycling technologies knowledge, Recycling Li-ion Batteries market intelligence and research lines at the University of Birmingham and collaborators - NDA signed. |
| Collaborator Contribution | N/A |
| Impact | Improved market intelligence enabling the company to review strategic direction. Enhanced understanding of R&D capability in UK academia. |
| Start Year | 2022 |
| Description | FIRG005 - Knowledge exchange and market intelligence meeting |
| Organisation | De Beers Group |
| Department | Element Six |
| Country | Luxembourg |
| Sector | Private |
| PI Contribution | Imparting of recycling technologies knowledge, Recycling Li-ion Batteries market intelligence and research lines at the University of Birmingham and collaborators . |
| Collaborator Contribution | Improved market intelligence enabling the company to review strategic direction. Enhanced understanding of R&D capability in UK academia. |
| Impact | Improved industrial understanding on the capabilities of UK academic to recover spent valuable materials from batteries. |
| Start Year | 2022 |
| Description | FIRG005 - Knowledge exchange and market intelligence meeting |
| Organisation | European Metal Recycling Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Improved market intelligence enabling the company to review strategic direction. Enhanced understanding of R&D capability in UK academia. Improved engineering processes. |
| Collaborator Contribution | Sharing of industrial know-how. |
| Impact | Imparting of recycling technologies knowledge, Recycling Li-ion Batteries market intelligence and research lines at the University of Birmingham and collaborators - NDA signed. |
| Start Year | 2021 |
| Description | FIRG005 - Knowledge exchange and market intelligence meeting |
| Organisation | Fortum |
| Country | Norway |
| Sector | Private |
| PI Contribution | Imparting of recycling technologies knowledge, Recycling Li-ion Batteries market intelligence and research lines at the University of Birmingham and collaborators - NDA signed. |
| Collaborator Contribution | Improved market intelligence enabling the company to review strategic direction. Enhanced understanding of R&D capability in UK academia. |
| Impact | Improved industrial understanding on the capabilities of UK academic to recover spent valuable materials from batteries. |
| Start Year | 2022 |
| Description | FIRG005 - Knowledge exchange and market intelligence meeting |
| Organisation | Scottish and Southern Energy (SSE) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Imparting of recycling technologies knowledge, Recycling Li-ion Batteries market intelligence and research lines at the University of Birmingham and collaborators . |
| Collaborator Contribution | Improved market intelligence enabling the company to review strategic direction. Enhanced understanding of R&D capability in UK academia. |
| Impact | Improved industrial understanding on the capabilities of UK academic to recover spent valuable materials from batteries. |
| Start Year | 2023 |
| Description | FIRG005 - Knowledge exchange and market intelligence meeting |
| Organisation | Veolia Environmental Services |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Imparting of recycling technologies knowledge, Recycling Li-ion Batteries market intelligence and research lines at the University of Birmingham and collaborators. |
| Collaborator Contribution | Improved market intelligence enabling the company to review strategic direction. Enhanced understanding of R&D capability in UK academia. |
| Impact | Improved industrial understanding on the capabilities of UK academic to recover spent valuable materials from batteries. |
| Start Year | 2022 |
| Description | FIRG005 - Knowledge exchange and market intelligence meeting linked to Economic Development opportunities. |
| Organisation | Birmingham City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Academic research has supported strategic development linked to building a battery recycling industry in the city of Birmingham. |
| Collaborator Contribution | Supporting analysis. |
| Impact | Improved industrial understanding on the capabilities of UK academic to recover spent valuable materials from batteries. |
| Start Year | 2021 |
| Description | FIRG005 - Knowledge exchange and market intelligence sharing |
| Organisation | U.S. Department of Energy |
| Country | United States |
| Sector | Public |
| PI Contribution | Initiating dual lines of research into new and novel technologies. |
| Collaborator Contribution | Supporting lines of research to be undertaken in partners univesities. |
| Impact | Outputs and outcomes still in development. |
| Start Year | 2022 |
| Description | FIRG005 - Knowledge exchange, shared lines of research and study programmes. |
| Organisation | Agency for Science, Technology and Research (A*STAR) |
| Country | Singapore |
| Sector | Public |
| PI Contribution | Planned joint working around key technology and research themes. |
| Collaborator Contribution | Co-designed areas of research and the participation in conferences and joint funding calls. |
| Impact | Joint application to funding calls, participation in conferences, potential joint work with the FCDO based in Singapore. |
| Start Year | 2022 |
| Description | FIRG005 - Maximizing the Environmental Utility of Battery Storage: Building a Life Cycle Assessment Framework |
| Organisation | University of California, Davis |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | provide information around ReLiB and LCA specifically |
| Collaborator Contribution | Utility-scale electricity storage technology is crucial for achieving California's ambitious target of 100 percent carbon-free electricity by 2045 because of the intermittency of solar and wind resources. Large format batteries are being rapidly adopted to meet storage demand, with lithium ion batteries in particular seeing enormous increases in production and improvements in performance. At the same time, new battery chemistries and technologies are emerging that aim to improve on performance and cost, and could diversify material resource dependencies. For example, flow batteries are one such technology, and within this technology several classes are being developed that vary substantially in flow cell types, electrolytes, and required balance of systems. The type and quantity of natural resources consumed and pollutants and wastes generated by current and future technologies over their life-cycles vary among technologies and particular classes. Therefore understanding and anticipating the life-cycle impacts of battery technologies is important to maximize their benefits. Applying life cycle assessment (LCA) to utility-scale batteries faces a number of key challenges including: (1) deficiencies in reliable data, (2) scale-up of bench-scale operations to full scale, (3) uncertainties in the use and end-of-life phase modeling, and (4) lack of consequential models for the inputs and outputs. All of these challenges are intensified for emergent technologies. In this workshop, we will discuss the current status of and the key barriers to applying LCA to utility scale batteries. We will also identify the key areas that need further research and developments to overcome such barriers. |
| Impact | no sure yet. We hope to develop a framework on this. |
| Start Year | 2019 |
| Description | FIRG005 - Natural resources and the circular economy for batteries |
| Organisation | University of Southern Denmark |
| Country | Denmark |
| Sector | Academic/University |
| PI Contribution | I designed and held a workshop around resources and batteries |
| Collaborator Contribution | Resource constraints of the green transition at the Southern Danish University- ISIE |
| Impact | this was a multidisciplinary output. |
| Start Year | 2020 |
| Description | FIRG005 - Nissan |
| Organisation | Nissan Motor Company |
| Country | Japan |
| Sector | Private |
| PI Contribution | confidential |
| Collaborator Contribution | confidential |
| Impact | NDA signed by both parties. Confidential discussions in progress |
| Start Year | 2022 |
| Description | FIRG005 - Retriev |
| Organisation | Retriev Technologies |
| Country | United States |
| Sector | Private |
| PI Contribution | Discussions around recycling of EV LIBs and potential licensing of patented technology. |
| Collaborator Contribution | Discussions around recycling of EV LIBs and potential licensing of patented technology. |
| Impact | Discussions ongoing |
| Start Year | 2022 |
| Description | FIRG005 - collaboration with Law and Tech Cluster group at the university of Birmingham |
| Organisation | University of Birmingham |
| Department | Birmingham Law School |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The Law and Tech Cluster is a group of researchers primarily from the School of Law and the School of Computer Science at the University of Birmingham with a shared interest in the intersection of our disciplines. The members work on a range of topics, including algorithmic accountability, cyber security, robotics, data protection, machine learning, copyright law, and many others. Dr Alireza Rastegarpanah was invited to present his works to a multi-disciplinary audience, and there was a synergy on robotic disassembly and EV related issues. Dr Rastegarpanah started his collaboration with Professor Karen Yeung to apply for funding to address the regulation barriers of robotic battery disassembly. The outcome of this collaboration was a funded NERC project. |
| Collaborator Contribution | Extreme Robotics Lab hosted a researcher from the school of Law to work with roboticists and make a policy brief about the safety implications and challenges of automating the process of battery disassembly. |
| Impact | This is a multidisciplinary collaboration between the School of Law and the robotics team at the School of Metallurgy and Materials, University of Birmingham. The outcome of this collaboration was a funded NERC project (Overcoming legal obstacles to facilitate the safe and effective robotic disassembly of lithium-ion batteries) and the following outcomes are expected: -- Conference: a joint conference is organised on 25/03/2022 that is a great opportunity to bring together battery experts, academics and industries from different disciplines to discuss the existing challenges and barriers of automating and robotizing the process of testing and disassembly of batteries. -- Policy Brief: to inform/advise non-academic external audiences of an issue that requires. policy attention. |
| Start Year | 2022 |
| Description | FIRG007 - Johnson Matthey collaboration at Sheffield |
| Organisation | Johnson Matthey |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | This collaboration is focused on the synthesis and development of new canddiate solid state electrolytes, particularly NASICON systems. This is a co-funded PhD studentship at the University of Sheffield with Dr Eddie Cussen and Professor Serena Corr. PhD student, Jasmine Clough, an affiliate SOLBAT student, is working on the synthesis, characterisation and testing of new candidate solid state electrolytes. |
| Collaborator Contribution | Johnson Matthey provides financial support in co-funding a PhD studentship for Ms Jasmine Clough. Regular research meetings with partners at Johnson Matthey to inform the direction of research and update on results. Visits to industry partner by PhD student Jasmine Clough. |
| Impact | This collaboration is still ongoing and no outputs to report as yet. |
| Start Year | 2018 |
| Description | FIRG007 - SAXS at Harwell |
| Organisation | Diamond Light Source |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Synthesis and preparation of polymer films |
| Collaborator Contribution | Access to diamond light source, training on I-22 beamline, interpretation of SAXS data obtained. |
| Impact | 2 publications |
| Start Year | 2019 |
| Description | FIRG007 - SOLBAT - Nissan collaboration |
| Organisation | Nissan Motor Company |
| Country | Japan |
| Sector | Private |
| PI Contribution | In this Nissan project, we'd like to elucidate the fundamental mechanisms of electrochemical reaction at the interface between solid electrolyte (SE) and LiM anode with consideration of mechanical effect in ASSB system at first stage. This understanding will help to identify the key factor of anode and solid electrolyte design direction for automotive use. Specifically, we would like to apply operando analysis such as XPS for sulfide type SE-LiM interface during charge/discharge test to clarify the relationship between surface/interface properties (eg: SE oxidation, LiM nitrization, contamination, etc.) and critical current density by using symmetry cell in the first stage of the Nissan project. |
| Collaborator Contribution | Nissan provide finances to support a PDRA as well as providing industry relevant knowledge in helping set reasonable perameters to the work. |
| Impact | None as yet |
| Start Year | 2020 |
| Description | FIRG013 - Applications of Compressive Sensing and Machine Learning to Imaging and Spectroscopy |
| Organisation | Oxford Instruments |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Discussions are underway with Oxford Instruments to collaborate on the implementation of the CS/ML methods being developed in this project to imaging and spectroscopy |
| Collaborator Contribution | Each partner contributed expertise in the design and implementation of imaging and spectrpscopy in electron microscopes to the formation of a research partnership to develop new applications of CS and ML |
| Impact | None yet |
| Start Year | 2020 |
| Description | FIRG013 - Collaboration with WMG, Warwick |
| Organisation | University of Warwick |
| Department | Warwick Manufacturing Group |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Through the award of this funding, and the unique experimental capability we will establish, we are creating new collaborations with WMG (Geoff West and Mel Loveridge) to do some pump priming experiments. |
| Collaborator Contribution | The link is through Pat Unwin, Warwick Chemistry. |
| Impact | Just started. |
| Start Year | 2020 |
| Description | FIRG013 - Collaboration with Will Chueh (Stanford, USA) |
| Organisation | Stanford University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We have established a collaboration with Chueh's group at Stanford to expand multimodal investigation of battery electrode materials and electrocatalysts. |
| Collaborator Contribution | We provide SECCM of battery electrode materials. |
| Impact | Paper submitted. |
| Start Year | 2019 |
| Description | FIRG013 - Faraday Institute |
| Organisation | The Faraday Institution |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Dissemination of research techniques useful in the characterisation of batteries. Presentation given to researchers funded by the Faraday Institution and members of the Advisory Board. |
| Collaborator Contribution | Expertise in battery reasearch. |
| Impact | none yet. |
| Start Year | 2019 |
| Description | FIRG014 - Dr Qiong Cai - Shandong University |
| Organisation | Shandong University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | The collaboration has been formed as part of Dr Cai's Royal Society Researcher Exchange project (captured in "Further Funding" section, on Dilithium phthalocyanine derivatives as electrolyte additives for Li-metal batteries.) |
| Collaborator Contribution | Mutual collaboration and expertise has been shared by both partners on developing electrolyte additives to enable longer cycle life of Li metal in Li-S batteries. |
| Impact | https://doi.org/10.1016/j.cej.2022.138112 |
| Start Year | 2022 |
| Description | FIRG014 - Dr Qiong Cai - Xi'an Jiaotong University |
| Organisation | Xi'an Jiaotong University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | Dr Jianan Wang was a visiting research in the group of Dr Qiong Cai for one year. |
| Collaborator Contribution | The collaboration involved mutual expertise and knowledge exchange on solid-state lithium-sulfur batteries, and separators for Li-S batteries. |
| Impact | https://doi.org/10.1016/j.esci.2022.09.001 https://doi.org/10.1002/eem2.12483 https://doi.org/10.1002/aenm.202270172 https://doi.org/10.1002/inf2.12401 |
| Start Year | 2021 |
| Description | FIRG014 - LiSTAR-HORIBA MIRA |
| Organisation | Horiba |
| Department | HORIBA MIRA |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The LiSTAR team have engaged in preliminary discussions which will accelerate HORIBA MIRA's movement into the Li-S sphere |
| Collaborator Contribution | HORIBA MIRA have provided industrial knowledge and support regarding the development of battery management systems to accelerate the outputs of LiSTAR |
| Impact | N/A |
| Start Year | 2019 |
| Description | FIRG014 - Nottingham-Lubrizol |
| Organisation | Lubrizol Corporation |
| Department | Lubrizol, UK |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Lubrizol and Nottingham are collaborating on the development of additives for Li-S batteries. Nottingham are assessing the efficacy of products designed by Lubrizol |
| Collaborator Contribution | Lubrizol are providing in kind support through PhD students |
| Impact | Candidate materials have been identified and are being investigated for protection |
| Start Year | 2021 |
| Description | FIRG014 - Surrey-ARKEMA |
| Organisation | Arkema |
| Country | France |
| Sector | Private |
| PI Contribution | The University of Surrey has engaged in research activity investigating the potential impact of binders on Li-S batteries. |
| Collaborator Contribution | As part of the study ARKEMA have provided two new binders to be screened to establish their efficacy in Li-S cathodes. |
| Impact | N/A |
| Start Year | 2020 |
| Description | FIRG014 - UCL-EAG |
| Organisation | Electric Aviation Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | UCL and EAG are collaborating to understand the requirements of a fully electric aircraft in the next 10 years |
| Collaborator Contribution | We are offering technical support and consultation related to Li-S technology in a fully electric aircraft |
| Impact | To be determined |
| Start Year | 2020 |
| Description | FIRG014 - UCL-Oxis |
| Organisation | Oxis Energy Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | As part of the LiSTAR programme UCL and Oxis have engaged in activities to optimise the potential outputs research programme |
| Collaborator Contribution | Oxis have provided in-kind expertise and material to the LiSTAR programme |
| Impact | N/A |
| Start Year | 2019 |
| Description | FIRG014 - UCL-REPSOL-CIDETEC |
| Organisation | IK4-Cidetec |
| Country | Spain |
| Sector | Private |
| PI Contribution | LiSTAR have engaged with Repsol & Cidetec to share understanding of the established industrial research programmes which are underway in Spain |
| Collaborator Contribution | Repsol & Cidetec have shared the developments which they have made over the last 3 years which has enabled a greater understanding of the current state of the art of Li-S batteries in industry |
| Impact | N/A |
| Start Year | 2019 |
| Description | FIRG014 - UCL-REPSOL-CIDETEC |
| Organisation | Repsol |
| Country | Spain |
| Sector | Private |
| PI Contribution | LiSTAR have engaged with Repsol & Cidetec to share understanding of the established industrial research programmes which are underway in Spain |
| Collaborator Contribution | Repsol & Cidetec have shared the developments which they have made over the last 3 years which has enabled a greater understanding of the current state of the art of Li-S batteries in industry |
| Impact | N/A |
| Start Year | 2019 |
| Description | FIRG015 - Altair/EDEM and Sheffield University |
| Organisation | Altair Engineering Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | We have an excellent partnership with Altair/EDEM and work closely with their development team. |
| Collaborator Contribution | We have an excellent partnership with Altair/EDEM and work closely with their development team. They provide significant in-kind support (ca. £12k p.a.) |
| Impact | N/A |
| Start Year | 2020 |
| Description | FIRG015 - Technical University Munich and WMG |
| Organisation | Technical University of Munich |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | The exchange is currently with researchers and PhD students - to build expertise and foster future collaboration (Horizon) directly in the battery space, focusing on digital manufacturing of energy storage materials and systems. |
| Collaborator Contribution | The exchange is currently with researchers and PhD students - to build expertise and foster future collaboration (Horizon) directly in the battery space, focusing on digital manufacturing of energy storage materials and systems. |
| Impact | N/A |
| Start Year | 2022 |
| Description | FIRG016 - AMTE Power Partnership |
| Organisation | AMTE Power |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | In discussion with AMTE about future collaboration |
| Collaborator Contribution | In discussion with AMTE about future collaboration |
| Impact | N/A |
| Start Year | 2020 |
| Description | FIRG016 - Croda International PLC |
| Organisation | Croda International |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | In discussion with Croda International about future collaboration |
| Collaborator Contribution | In discussion with Croda International about future collaboration |
| Impact | N/A |
| Start Year | 2020 |
| Description | FIRG016 - Granta Design Ltd Partnership |
| Organisation | Granta Design |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | In discussion with Granta Design Ltd about future support/project progress |
| Collaborator Contribution | In discussion with Granta Design Ltd about future support/project progress |
| Impact | N/A |
| Start Year | 2020 |
| Description | FIRG016 - ICoNiChem Widnes Ltd Partnership |
| Organisation | ICoNiChem Widnes Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | In discussion with ICoNIChem about project progress/future collaboration |
| Collaborator Contribution | In discussion with ICoNIChem about project progress/future collaboration |
| Impact | N/A |
| Start Year | 2020 |
| Description | FIRG016 - Jaguar Land Rover Partnership |
| Organisation | Jaguar Land Rover Automotive PLC |
| Department | Jaguar Land Rover |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | In discussion with Jaguar Land Rover about future support/project progress |
| Collaborator Contribution | In discussion with Jaguar Land Rover about future support/project progress |
| Impact | N/A |
| Start Year | 2020 |
| Description | FIRG016 - Johnson Matthey Partnership |
| Organisation | Johnson Matthey |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Extensive interactions . NDA & PhD studentship in place |
| Collaborator Contribution | Extensive interactions . NDA & PhD studentship in place |
| Impact | Education of PhD |
| Start Year | 2020 |
| Description | FIRG016 - LG Chem Partnership |
| Organisation | LG Electronics |
| Country | Korea, Republic of |
| Sector | Private |
| PI Contribution | LG Chem secondee (2yrs from 2021) on disordered rock-salts |
| Collaborator Contribution | Support synthesis, electrode fabrication, cell assembly & provide test samples |
| Impact | N/A |
| Start Year | 2020 |
| Description | FIRG016 - Linde Partnership |
| Organisation | Linde Group |
| Country | Global |
| Sector | Private |
| PI Contribution | Discussions on potential contract work |
| Collaborator Contribution | Discussions on potential contract work |
| Impact | Discussions on potential contract work |
| Start Year | 2020 |
| Description | FIRG016 - UKBIC Partnership |
| Organisation | UK Battery Industrialisation Centre (UKBIC) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | In discussion with UKBIC about project progress/future collaboration |
| Collaborator Contribution | In discussion with UKBIC about project progress/future collaboration |
| Impact | N/A |
| Start Year | 2020 |
| Description | FIRG017 - Academic collaboration with Liverpool Characterisation project |
| Organisation | University of Liverpool |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaboration -TEM FutureCat providing samples of materials to analyse |
| Collaborator Contribution | TEM analysis of FutureCat materials |
| Impact | Collaboration between FutureCat and another Faraday project (Characterisation). Prof Nigel Browning also invited to give talk at FutureCat organised event 'Advanced Characterisation of Energy Materials' due to take place on 21 April 2021. |
| Start Year | 2020 |
| Description | FIRG017 - Collaboration with Degradation (Faraday Institution project - Cambridge) |
| Organisation | University of Cambridge |
| Department | Cambridge Neuroscience |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Gas evolution measurements with OEMS |
| Collaborator Contribution | Testing surface reconstruction layer |
| Impact | Contribution towards FutureCat and Degradation work on battery research |
| Start Year | 2020 |
| Description | FIRG017 - FutureCat & SuMMa Academic Partner - Warwick University (WMG) |
| Organisation | University of Warwick |
| Department | Warwick Manufacturing Group |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Research knowledge exchange on FutureCat and SuMMa |
| Collaborator Contribution | Research knowledge - Prof Louis Piper joined FutureCat as a Co-I. SuMMa project - providing equipment for experiments, scale up facilities and staff time (advice & support) |
| Impact | Not yet for SuMMa |
| Start Year | 2022 |
| Description | FIRG017 - FutureCat & SuMMa External Partner - Science and Technologies Facilities Council (STFC) |
| Organisation | Science and Technologies Facilities Council (STFC) |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Research knowledge exchange |
| Collaborator Contribution | Research On SuMMa - in-kind time for Lab, ISIS instrument suite, and staff time, plus contribution towards consumables for experiments |
| Impact | No outputs as yet |
| Start Year | 2019 |