User behaviour informed learning and intelligent control for charging of vehicle battery packs
Research Project, 2022
– 2024
This battery management project aims to develop 1) modelling of user charging preference and demand, 2) user demand-informed optimisation for charging trajectory, and 3) distributed trajectory tracking control for the charging of battery packs. The project results will include a generic smart charging system to prolong battery life and improve the vehicle’s resource efficiency and convenience. The incorporated battery pack charging strategies will benefit from considering the user preferences and demand, where the designed charging currents can be intelligently adjusted according to different user demands that can effectively restrict battery degradation.
Participants
Changfu Zou (contact)
Chalmers, Electrical Engineering, Systems and control
Quan Ouyang
Chalmers, Electrical Engineering, Systems and control
Funding
European Commission (EC)
Project ID: 101067291
Funding Chalmers participation during 2022–2024
Related Areas of Advance and Infrastructure
Transport
Areas of Advance
Energy
Areas of Advance
Basic sciences
Roots
Innovation and entrepreneurship
Driving Forces