Optimal control of intelligent electric vehicles for a fossil free, safe and efficient transport system
Research Project, 2019
– 2021
In this proposal, we aim to leverage advanced modeling techniques and energy control theory to bridge this research lacuna from three aspects: (1) At the battery level, develop a holistic optimal energy
management system for an EV; (2) At the traffic level, propose an optimal control methodology for a fleet of autonomous and connected EVs (ACEVs); (3) At the mixed traffic level, a stochastic control framework will be devised for both manual EVs and ACEVs in a mixed traffic environment.
The project is supported by Chalmers AoA Transport Foundation, with a total budget of 2.4 million SEK including matchup funding.
Participants
Xiaobo Qu (contact)
Chalmers, Architecture and Civil Engineering, Geology and Geotechnics
Changfu Zou
Chalmers, Electrical Engineering, Systems and control
Funding
Chalmers Library
Funding Chalmers participation during 2019–2021
Related Areas of Advance and Infrastructure
Transport
Areas of Advance