EVOLVE: Electric Vehicles Point Location Optimisation via Vehicular Communications
Lead Research Organisation:
Northumbria University
Department Name: Fac of Engineering and Environment
Abstract
Recent developments in the Electric Vehicles (EV) technologies have made great strides to offer new modes of smart green urban mobility, where EVs are used as the main transportation mode replacing the conventional diesel and petrol powered vehicles. EVs are expected to play a key role in achieving ambitious targets of lowering greenhouse emission in the transportation sector. Given the EV penetration rates and future forecasts, it is essential to develop technologies that tackle charging management of EVs considering a holistic view of charging supply/delivery management for EVs, communication of EVs to the smart grid infrastructure system using 5G and beyond systems, smart grids and big data analytics for EVs optimise smart mobility and enhance the quality of experience for EV users. EVOLVE aims to exploit the scientific excellence and expertise of key academic and industrial players into a joint collaborative effort to design, develop and test various technologies that consider the holistic view of EV charging taking into account the view of technical and business stakeholders. EVOLVE will pursue innovation for advancing the technologies in EV charging ecosystem by orchestrating and managing the underlying networking and computational resources, design innovative algorithms using Artificial Intelligence (AI) and Machine Learning ML), developing communication protocols, prediction and optimising load in smart grids, developing software systems and user interfaces (UIs). EVOLVE aims to transcend analytical models and simulation-based validation and aims to deliver five proof-of-concept (PoC) demonstrations. EVOLVE project will provide a platform to foster a close collaboration between academia and industry partners providing each with a unique experience to create new knowledge, share know-how and skills development.
Organisations
People |
ORCID iD |
| Nauman Aslam (Principal Investigator) |
Publications
Aljaidi M
(2024)
QoE-Based Assignment of EVs to Charging Stations in Metropolitan Environments
in IEEE Transactions on Intelligent Vehicles
Redondo J
(2025)
Multi-Agent Assessment With QoS Enhancement for HD Map Updates in a Vehicular Network and Multi-Service Environment
in IEEE Transactions on Network Science and Engineering
Saatloo A
(2024)
Local Energy Market Design for Power- and Hydrogen-Based Microgrids Considering a Hybrid Uncertainty Controlling Approach
in IEEE Transactions on Sustainable Energy
| Description | Overall, the project (all consortium partners) has contributed to generating significant new knowledge through several publications addressing energy efficiency, machine learning, and smart grids, contributing to improved EV management, sustainable energy systems, and intelligent automation in industrial processes. A total of 29 scientific research publications have been generated. Northumbria University produced two high impact Q1 journal on EV charging management and framework for design strategies involving local energy markets. |
| Exploitation Route | The research may help to generate following impacts: Economic Impact: Optimized EV charging and energy market strategies support cost reductions and efficiency improvements in electric mobility, fostering sustainable economic growth. Societal Impact: Promotes energy-efficient solutions and smart grid flexibility, reducing carbon footprints and supporting environmental sustainability. Industrial Processes: Advances in federated learning for EV management offer scalable solutions for automotive and energy industries, enhancing operational efficiency. |
| Sectors | Digital/Communication/Information Technologies (including Software) Energy Transport |
| Description | 1st Workshop on Enabling Technologies for the next-gen Electric Vehicles |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The workshop was attended by academic researchers and industry professionals. During the event, we actively participated in discussions, sharing insights on cutting-edge developments and challenges in electric vehicle technology. Interactive sessions, networking opportunities, and hands-on demonstrations facilitated meaningful collaborations. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://evolve-msca.eu/2024-evolve-workshop |
| Description | 2023 UWS Digital Connectivity and Innovation for Sustainable Futures (DCISF) Symposium |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | 50+ Students attended the event. The the panel discussion and posters sparked latest developments in digital technologies, including 5G/6G, Internet of Things, Cloud Computing, and Artificial Intelligence. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://sites.google.com/view/dcisf/home |