EVOLVE: Electric Vehicles Point Location Optimisation via Vehicular Communications

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Title
EVOLVE: Electric Vehicles Point Location Optimisation via Vehicular Communications

CoPED ID
9a20f548-b301-4317-b8c1-cc54470ec9c8

Status
Active


Value
£396,430

Start Date
Feb. 1, 2023

End Date
Jan. 31, 2027

Description

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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.

Nauman Aslam PI_PER

Subjects by relevance
  1. Innovations
  2. Machine learning
  3. Technological development
  4. Optimisation
  5. Automation
  6. Know-how
  7. Enterprises
  8. Smart grids
  9. Intelligent systems

Extracted key phrases
  1. Electric Vehicles Point Location Optimisation
  2. Vehicular Communications
  3. Recent development
  4. Smart grid infrastructure system
  5. Evolve
  6. EV charging ecosystem
  7. Smart green urban mobility
  8. EV penetration rate
  9. EV user
  10. Smart mobility
  11. Main transportation mode
  12. Technology
  13. New mode
  14. Holistic view
  15. EVOLVE project

Related Pages

UKRI project entry

UK Project Locations