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.
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