Energy optimisation and control of autonomous electric vehicles
Research Project , 2020 – 2021

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). 

 

Participants

Changfu Zou (contact)

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

Guangzhong Dong

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

Xiaobo Qu

Biträdande professor vid Chalmers, Architecture and Civil Engineering, GeoEngineering

Yongzhi Zhang

Doktor vid Chalmers, Architecture and Civil Engineering, GeoEngineering

Funding

Chalmers

Funding Chalmers participation during 2020–2021

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

Transport

Areas of Advance

More information

Latest update

2019-09-13