Automotive electric powertrain whistling and whining: fundamental root cause analysis to novel solutions
Lead Research Organisation:
Loughborough University
Department Name: Wolfson Sch of Mech, Elec & Manufac Eng
Abstract
The "Road to Zero" strategy is placing the UK at the forefront of designing and manufacturing zero emission vehicles, with the sale of new petrol/diesel cars and vans planned to end by 2040 (perhaps by 2030 according to recent government announcements). The strategy towards cleaner, quieter cities has accelerated the trend in the sales of Electric Vehicles (EVs). Contrary to the prevalent view though, EVs are not silent. Without the effect of masking noise from an internal combustion engine, other sounds radiating from the electric motor and the drivetrain have become more apparent (mainly at medium to high vehicle speeds). This is a major challenge for Automotive OEMs, which need to adapt their Noise, Vibration and Harshness (NVH) design methods to the "new" electric (e-) powertrain environment. Moreover, an optimum balance has to be identified between the vehicle NVH performance (and NVH package weight) and other weight increases due to heavy battery packs needed to increase the driving range.
An important NVH issue in EVs is the tonal e-motor whistling noise (at harmonics of the rotor speed, depending on the number of motor poles). This is generated by the electromagnetic force, which excites the e-motor and the driveline housing. The noise is amplified by the powertrain structure, especially by the stator and its housing. Increased power and e-motor downsizing are key commercial requirements but have adverse effects on whistling noise. In addition to this, e-motor torque variation ripples and introduced misalignments in the system (between the gears, shafts and housing assembly) act as mechanical excitation on the drivetrain, leading to gear meshing oscillations and emitted noise (known as whine NVH). The issue becomes more complex considering the large range of powertrain operating conditions and increased excitation due to high-power motors, which affect the stability of the coupled electromechanical dynamics.
The above e-powertrain NVH landscape requires various interrelated disciplines to be considered under the same framework (electromagnetics, component flexibility, transient dynamics and noise radiation). A coupled whistling and whining fundamental study that leads to root-cause understanding of the involved physics has not yet successfully done.
The proposed research aims to identify the root causes behind the coupling of e-motor whistling and drivetrain whining NVH behaviour in e-powertrains and develop novel design solutions to reduce their severity and avoid costly and difficult remedial NVH measures later in the development process. The research will produce fundamental knowledge in e-powertrain design from the NVH perspective in the following ways: i) novel scientific knowledge will be generated for e-powertrains by analysing the root causes of the coupling between the e-motor and drivetrain transient dynamics that leads to aggressive NVH behaviour (employing 3D e-powertrain models), ii) an accurate and validated methodology for high frequency (above 10 kHz) e-powertrain NVH studies will be developed, iii) new NVH metrics will be set for use in future e-powertrain investigations and iv) novel and fast reduced-order methods will be developed based on the above NVH metrics and the parametric studies of the validated 3D e-powertrain models.
New e-powertrain design methodologies for fast and accurate product development will be developed in this project with strong support of the participating industry partners. Arrival and AVL will integrate the new methods in their design processes and product portfolio (within a 5-year timescale). The project outcomes will be disseminated nationally (and internationally) so that UK automotive manufacturers can directly benefit and the UK maintains its excellence in powertrain technology.
An important NVH issue in EVs is the tonal e-motor whistling noise (at harmonics of the rotor speed, depending on the number of motor poles). This is generated by the electromagnetic force, which excites the e-motor and the driveline housing. The noise is amplified by the powertrain structure, especially by the stator and its housing. Increased power and e-motor downsizing are key commercial requirements but have adverse effects on whistling noise. In addition to this, e-motor torque variation ripples and introduced misalignments in the system (between the gears, shafts and housing assembly) act as mechanical excitation on the drivetrain, leading to gear meshing oscillations and emitted noise (known as whine NVH). The issue becomes more complex considering the large range of powertrain operating conditions and increased excitation due to high-power motors, which affect the stability of the coupled electromechanical dynamics.
The above e-powertrain NVH landscape requires various interrelated disciplines to be considered under the same framework (electromagnetics, component flexibility, transient dynamics and noise radiation). A coupled whistling and whining fundamental study that leads to root-cause understanding of the involved physics has not yet successfully done.
The proposed research aims to identify the root causes behind the coupling of e-motor whistling and drivetrain whining NVH behaviour in e-powertrains and develop novel design solutions to reduce their severity and avoid costly and difficult remedial NVH measures later in the development process. The research will produce fundamental knowledge in e-powertrain design from the NVH perspective in the following ways: i) novel scientific knowledge will be generated for e-powertrains by analysing the root causes of the coupling between the e-motor and drivetrain transient dynamics that leads to aggressive NVH behaviour (employing 3D e-powertrain models), ii) an accurate and validated methodology for high frequency (above 10 kHz) e-powertrain NVH studies will be developed, iii) new NVH metrics will be set for use in future e-powertrain investigations and iv) novel and fast reduced-order methods will be developed based on the above NVH metrics and the parametric studies of the validated 3D e-powertrain models.
New e-powertrain design methodologies for fast and accurate product development will be developed in this project with strong support of the participating industry partners. Arrival and AVL will integrate the new methods in their design processes and product portfolio (within a 5-year timescale). The project outcomes will be disseminated nationally (and internationally) so that UK automotive manufacturers can directly benefit and the UK maintains its excellence in powertrain technology.
Publications
Morris N
(2024)
Electric Vehicle Tribology
Ricardo Souza M
(2024)
The use of an artificial neural network for assessing tone perception in electric powertrain noise, vibration and harshness
in Meccanica
Souza M
(2024)
Whistle, whine and modal implications due to the electromechanical coupling of an electric powertrain
in Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Souza MR
(2022)
NVH of electric motors - a study on potential NVH metric
| Description | 1. In this study, a flexible Multibody Dynamics model was used to calculate the forces transmitted to the housing of an electric powertrain used in a commercial vehicle. The model also included the calculation of the vibration at a chosen location of the housing. From the dynamic results, the noise radiated by the system was calculated. Both sets of results were used to train artificial neural networks to assess the sound quality of the radiated noise. Electric powertrains are generally quieter than Internal Combustion Engines, but their tonal behaviour might cause discomfort for drivers and passengers. This works contributes to the body of knowledge by showing how psychoacoustic features can be estimated using multibody dynamics simulations and a surrogate model without the necessity of additional expensive acoustic simulations. The proposed surrogate model is an artificial neural network. The data for the training of this network can source from the initial design phase. The trained network accurately classified if the radiated noise is prominent or not in around 92% (both 9 dB and 12 dB targets, respectively) of the cases based only on the results of the Multibody Dynamics model. The training of the neural network was not time demanding and the increase on the use of neural networks also comes with an increase on the availability of toolboxes that require minimum pre-processing of the data. A comparison with a similarly fast linear regression method was shown. Even though the regression model can establish some link between bearing forces, housing acceleration and radiated noise, the network performance is superior on the generalisation problem, showing greater accuracy in the prominence determination. 2. E-powertrain Noise, Vibration and Harshness (NVH) shows tonal behaviour due to the electromagnetic forces in the e-motor (leading to whistling noise) and the gear meshing (leading to whining noise). Tonal excitations activate different system modes as the motor speed changes, amplifying whistling and whining. Accurate prediction of resonance speeds and aggressive NVH is essential. Due to electromagnetic interactions, the e-motor exhibits electromagnetic torsional stiffness, affecting the system dynamics. Past studies considered electromagnetic stiffness in torsional vibration lumped parameter models, mostly neglecting flexible components (i.e. powertrain housing). In this work, the electromagnetic stiffness is calculated using the Frequency Response Function method and is included for the first time in the modal analysis of a three-dimensional e-powertrain model. This enables e-powertrain electromechanical coupling analysis during the design phase, considering the housing three-dimensional flexibility, a key NVH contributor. Conducting modal analysis with the electromagnetic stiffness shows effects on the system natural frequencies, along with the mode shapes at different frequency ranges and operating speeds, establishing an accurate design method to describe the e-powertrain dynamics and provide clearer insight on the NVH physics. |
| Exploitation Route | 1. A common practice to evaluate the sound quality in the presence of tones is to use the Prominence Ratio metric. Some efforts have been made to assess the Noise, Vibration and Harshness (NVH) of Electric Vehicles using machine learning and experimental acoustic data in the past. The foundation for a novel framework was presented in this work and it can be a valuable optimisation tool for NVH performance. It overcomes the necessity of new acoustic data for estimation of acoustic features. However, by looking at results of the Multibody Dynamics alone, once a network is trained for the classification, it is possible to identify and mitigate aggressive NVH behaviour. This is especially useful in the design phase, where a variety of changes from the initial design can be investigated without the necessity of computationally expensive acoustic calculations, for these changes. Each Multibody Dynamics simulation took around 12 h to complete, whilst each acoustic simulation took around 14 h. However, the acoustic simulation times drastically increase with the frequency range. Therefore, as the necessity for simulations that cover higher frequency bands increases, this methodology can save considerable simulation time training the network with the nominal design first and then proceeding with optimising the radiated noise by targeting changes to the powertrain. 2. The effects due to considering the e-motor electromagnetic stiffness in e-powertrain NVH analysis are generic and extend to different operating conditions (speed and torque) and frequency ranges. The observations show how the electromagnetic stiffness can introduce implications in the NVH response of an e-powertrain, since it can cause resonance at unexpected speeds, if not considered in the modal analysis, leading to amplification of e-motor whistling and gear whining. Further work in this topic could address experimental operational modal analysis of e-powertrains including the housing of the system. |
| Sectors | Aerospace Defence and Marine Education Transport |
| URL | https://www.lboro.ac.uk/schools/meme/research-and-innovation/research-groups/dynamics-and-tribology/nvh-of-electric-powertrains/ |
| Description | DTP 2020-2021 Loughborough University |
| Amount | £1,694,698 (GBP) |
| Funding ID | EP/T518098/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 09/2025 |
| Title | Machine Learning-based method to assess the prominence of tones in Electric Powertrain NVH |
| Description | A flexible MBD model was used to calculate the forces transmitted to the housing of an electric powertrain used in a commercial vehicle. From the dynamics, the noise radiated by the system was calculated. Both sets of results were used to train artificial neural networks to assess the sound quality of the radiated noise. The trained network accurately classified if the radiated noise is prominent or not in around 92% (both 9 dB and 12 dB targets, respectively) of the cases based only on the results of the MBD model. The training of the neural network was not time demanding and the increase on the use of neural networks also comes with an increase on the availability of toolboxes that require minimum pre-processing of the data. A comparison with a similarly fast linear regression method was shown. Even though the regression model can establish some link between bearing forces, housing acceleration and radiated noise, the network performance is superior on the generalisation problem, showing greater accuracy in the prominence determination. Different training algorithms were assessed by checking the confusion matrices and cross-entropy. The limitations of the method were also addressed and are linked to the metric chosen. In terms of future work, this methodology is flexible enough to allow for training using different metrics, in the event one is more suitable for the required application. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | A common practice to evaluate the sound quality in the presence of tones is to use the Prominence Ratio metric. Some efforts have been made to assess the NVH of EVs using machine learning and experimental acoustic data in the past. The foundation for a novel framework was presented in this work and it can be a valuable optimisation tool for NVH performance. It overcomes the necessity of new acoustic data for estimation of acoustic features. The perception of a tonal behaviour in the radiated noise comes with an increased nuisance to passengers and drivers. However, by looking at results of the MBD alone, once a network is trained for the classification, it is possible to identify and mitigate aggressive NVH behaviour. This is especially useful in the design phase, where a variety of changes from the initial design can be investigated without the necessity of computationally expensive acoustic calculations, for these changes. Each MBD simulation took around 12 h to complete, whilst each acoustic simulation took around 14 h. However, the acoustic simulation times drastically increase with the frequency range. Therefore, as the necessity for simulations that cover higher frequency bands increases, this methodology can save considerable simulation time training the network with the nominal design first and then proceeding with optimising the radiated noise by targeting changes to the powertrain. This work does not aim to further the development of artificial neural networks but introduces a flexible new application that can help in assessing targeted changes in the design of powertrains. This works contributes to the body of knowledge by showing how psychoacoustic features can be estimated using multibody dynamics simulations and a surrogate model without the necessity of additional expensive acoustic simulations. The proposed surrogate model is an artificial neural network. The data for the training of this network can source from the initial design phase. |
| Title | Whistle, whine and modal implications due to the electromechanical coupling of an electric powertrain |
| Description | The e-motor electromagnetic torsional stiffness is calculated using the Frequency Response Function method and is included for the first time in the modal analysis of a three-dimensional e-powertrain model. This enables e-powertrain electromechanical coupling analysis, considering the housing three-dimensional flexibility, a key NVH contributor. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Conducting modal analysis by including the electromagnetic stiffness shows effects on the system natural frequencies, along with the mode shapes at different frequency ranges and operating speeds, establishing an accurate design method to describe the e-powertrain dynamics and provide clearer insight on the NVH physics. |
| URL | https://journals.sagepub.com/doi/full/10.1177/09544070241300752#sec-5 |
| Title | Artificial Neural Network to assess the prominence of tones in Electric Powertrain NVH |
| Description | A flexible MBD model was developed to calculate the forces transmitted to the housing of an electric powertrain used in a commercial vehicle. From the dynamics, the noise radiated by the system was calculated. Both sets of results were used to train artificial neural networks to assess the sound quality of the radiated noise. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | This works shows how psychoacoustic features can be estimated using multibody dynamics simulations and a surrogate model without the necessity of additional expensive acoustic simulations. |
| Title | E-powertrain multibody dynamics model including e-motor electromagnetic stiffness |
| Description | Three-dimensional multibody dynamics e-powertrain model for modal analysis including the effect of e-motor torsional electromagnetic stiffness. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | The model results show how the electromagnetic stiffness can introduce implications in the NVH response of an e-powertrain, since it can cause resonance at unexpected speeds, if not considered in the modal analysis, leading to amplification of e-motor whistling and gear whining. |
| URL | https://journals.sagepub.com/doi/full/10.1177/09544070241300752#sec-5 |
| Description | Collaboration with AVL List GmbH |
| Organisation | AVL |
| Country | Austria |
| Sector | Private |
| PI Contribution | Investigations of e-powertrain NVH at high frequency regions (>10kHz). Assessment of the applicability of the Statistical Energy Analysis method on e-powertrains. |
| Collaborator Contribution | AVL has been supporting the project's modelling research activities as follows: i) By providing a full license for AVL EXCITE and related Electrification Work Packages (FIRE and COMPOSE) required to carry out the investigations through the University Partnership Program, ii) By providing technical guidance on modelling e-powertrains for NVH studies by regular participation of their Technical Specialists in meetings and tele-conferences. |
| Impact | Three-dimensional models of e-powertrain combining structural dynamics and acoustics for NVH analysis. A new metric for NVH of e-powertrains. The collaboration is multi-disciplinary combining structural dynamics, acoustics and e-motor electromagnetics. |
| Start Year | 2021 |
| Description | Collaboration with Arrival Ltd |
| Organisation | Arrival Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Loughborough University Team has post-processed experimental measurements from Arrival's e-powertrain and developed 3D models of the e-powertrain to understand the NVH characteristic behaviour of the electric motor and gearbox. The NVH behaviour for the electric motor and gearbox have been assessed for optimised performance. A novel NVH metric for characterising e-powertrains has been developed. State of the art understanding of fundamental root causes for adverse NVH of electric motors and transmissions is also provided to the company. |
| Collaborator Contribution | ARRIVAL has been supporting the experimental and modelling research activities as follows: (i) by the participation of their Technical Specialists in regular meetings and audio conferences, (ii) providing the necessary information data and advice for e-powertrain numerical modelling, (iii) by the provision of e-powertrain testing data for the aforementioned numerical modelling purposes and (iv) by provision of powertrain components for characterisation purposes. |
| Impact | Three-dimensional e-powertrain models. Validation of the models using experimental results from the complete e-powertrain. New NVH metric for e-powertrains. The collaboration is multi-disciplinary concerning structural dynamics and acoustics of the electric motor and powertrain. |
| Start Year | 2021 |
| Description | 11th AVL International Simulation Conference |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Presentation at the 11th AVL International Simulation Conference of the work "NVH of Electric Motors - a Study on Potential NVH Metrics". Virtual Conference attended by more than 100 people. The audience expressed interest on the presented method, which eliminates the need for extensive acoustics simulations to characterise the NVH of e-powertrains. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://www.a3ps.at/event/avl-virtual-international-simulation-conference-2023 |
| Description | 13th Aachen Acoustics Colloquium |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation at the 13th Aachen Acoustics Colloquium of the work "NVH of Electric Motors - a Study on Potential NVH Metrics". About 200 people attended the event and the audience expressed interest on the presented method, which eliminates the need for extensive acoustics simulations to characterise the NVH of e-powertrains. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.aachen-acoustics-colloquium.com/en/ |
| Description | 53º SPANISH CONGRESS OF ACOUSTICS XII CONGRESS IBERIAN ACOUSTICS |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation at the 53º SPANISH CONGRESS OF ACOUSTICS XII CONGRESS IBERIAN ACOUSTICS - European Symposium on NVH Electric Vehicles. Attended by Academics, Industry and Professionals with background on NVH. The work on reduced order modelling of e-motors was presented and debated, attracting interest from other Institutions Internationally. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.tecniacustica.es/TECNIACUSTICA2022/program/European-Symposium-on-NVH-electric-vehicles |
| Description | NET ZERO VEHICLE POWERTRAIN ENGINEERING DESIGN AND DEVELOPMENT TECHNOLOGY, IAAPS, Bristol, UK |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Event focusing on the challenges and technologies associated with net zero transmission systems including E-machines, fuel cell and sustainable fuels (including hydrogen). 60-70 engineers and academics involved in powertrain electrification attended this event. Our project progress was presented in two fronts: electric motor analytical modelling and powertrain NVH. Increased interest was received regarding our research activities. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://e-i-s.org.uk/past-events/ |
| Description | Online presentation to industry |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | The project outcomes were presented to the global NVH Team of Ford Motor Company, sparking discussions about the applicability of the research methods in various e-powertrain configurations. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Presentation to YASA Ltd |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | Presentation of the already disseminated project achievements was given to YASA Ltd engineers, who expressed an interest for future collaborations. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Presentations at the 2024 SAE World Congress, Detroit, USA |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | The following works were presented in the 2024 SAE World Congress: - Effects of electric motor electromagnetic stiffness on the natural frequencies of electric powertrains - Reduced order model for steady-state vibroacoustic predictions of electric motors The audience expressed interest about the research methods developed and the results presented, which sparked discussions about e-powertrain NVH analysis. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://wcx.sae.org/2024 |
| Description | Presentations at the NAFEMS UK Conference, Staffordshire, UK |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | The following works were presented at the NAFEMS UK Conference: - Neural Network aided design for NVH performance of electric powertrains - Analytical Multi-physics of Electric Motor Vibroacoustics They sparked discussions about our research methods and the analysis of the results. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.nafems.org/events/nafems/2024/nafems-uk-conference-2024/ |
| Description | Presentations in the 2024 ISNVH Congress, Graz, Austria |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Our Team presented in the 2024 ISNVH Congress the following works: - Reduced Order Model for Modal Analysis of Electric Motors Considering Material and Dimensional Variations (10.4271/2024-01-2945) - Metrics Based Design of Electromechanical Coupled Reduced Order Model of an Electric Powertrain for NVH Assessment (10.4271/2024-01-2913) There was increased interest of participants from various industries and academic institutions on the above works, which led to discussions about future research activities at EU level. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.isnvh.at/ |
| Description | Visit Automotive OEM |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | Visit to Ford Motor Company to present the project findings to their NVH engineers. This led to questions and interest about the project findings on e-powertrain NVH. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Visit of Automotive Industry OEM |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Visit of Prof. Martin O'Mahony (Underbody Systems D&R Supervisor, Ford Motor Company) to Loughborough University. The project aim and objectives, as well as highlights of the progress were presented and discussed. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Visit of Automotive OEM |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | A powertrain expert from JaguarLandrover visited our Group to give a presentation about digital Twins for automotive powertrains. Our Team presented the research project results, which led to discussions about the methods developed and their wider applicability. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Visit of Past IMechE President to Loughborough University |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | Peter Flinn (136th President of the Institution of Mechanical Engineers) visited Loughborough University. The project was presented to him, as well as with a lab demonstration. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Visit of automotive OEM |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | Visit of Bentley Motors Ltd to our Research Group to discuss our e-powertrain NVH research. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Wolfson School seminar - Electric Vehicle Research Seminar |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | An overview of the project was presented to Colleagues of Loughborough University with background in automotive Research. The presented methods led to discussions about ways of deriving reduced-order models to study NVH in e-powertrains. |
| Year(s) Of Engagement Activity | 2022 |
