Optimal control of intelligent electric vehicles for a fossil free, safe and efficient transport system
Forskningsprojekt, 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.
Deltagare
Xiaobo Qu (kontakt)
Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik
Changfu Zou
Chalmers, Elektroteknik, System- och reglerteknik
Finansiering
Chalmers bibliotek
Finansierar Chalmers deltagande under 2019–2021
Relaterade styrkeområden och infrastruktur
Transport
Styrkeområden