Market penetration of autonomous electric vehicles (AEVs) is an unstoppable international trend. This transition is, however, greatly influenced by performance and cost benefit of AEVs in which the energy management system is a critical technology. To systematically address the energy management problem, this project will firstproposean integrated online optimisation methodology for jointly routing andcharge scheduling of an AEV. This will be on the basis of a high-fidelity powertrain cost model and explicitly consider various constraints imposed on the battery, motor, traffic system and charging stations. Second, by using the optimised results as tracking references, a two-step optimal control framework consisting of centralized control and decentralized control will be developed for a vehicle fleet. As a result, this project will optimally reconcile electromobility and autonomous transport and bridge the gaps of traffic control research from battery to vehicle fleet.
The project is supported by Chalmers AoA Transport Foundation, with a total budget of 1.624 million SEK (incl. matchup funding).
Forskarassistent vid Chalmers, Electrical Engineering, Systems and control, Automatic Control
vid Chalmers, Electrical Engineering, Systems and control, Automatic Control
Biträdande professor vid Chalmers, Architecture and Civil Engineering, GeoEngineering
Doktor vid Chalmers, Architecture and Civil Engineering, GeoEngineering
Funding Chalmers participation during 2020–2021
Areas of Advance