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.

Participants

Xiaobo Qu (contact)

Biträdande professor vid Chalmers, Architecture and Civil Engineering, GeoEngineering

Changfu Zou

Doktor vid Chalmers, Electrical Engineering, Systems and control, Automatic Control

Funding

Chalmers Library

Funding Chalmers participation during 2019–2021

Related Areas of Advance and Infrastructure

Transport

Areas of Advance

More information

Latest update

2018-11-28