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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.

Publications

10 25 50
 
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