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.
Biträdande professor vid Chalmers, Architecture and Civil Engineering, GeoEngineering
Forskarassistent vid Chalmers, Electrical Engineering, Systems and control, Automatic Control
Funding Chalmers participation during 2019–2021
Areas of Advance