Title: A new braking strategy based on motor characteristics and vehicle dynamics for unmanned electric vehicles
Authors: Wenfei Li; Haiping Du; Weihua Li
Addresses: School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia ' School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia ' School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
Abstract: Traditionally, vehicle braking generally follows the driver's braking intention. It is impossible for the driver to work out the optimal braking trajectory. However, unmanned vehicle can decide when to brake and how to brake. In this paper, we propose a braking scheme for unmanned electric vehicles. It adopts different braking control strategy according to different braking conditions. When the situation is urgent, the vehicle adopts emergency braking. Otherwise, the vehicle adopts normal braking. In the case of normal braking, the vehicle can automatically set the optimal braking trajectory. The setting of the braking trajectory is based on the characteristics of the motor and vehicle states. When the vehicle follows the set braking trajectory, the electric vehicles can obtain the maximum braking energy recovery. The simulation results show that the proposed braking method is able to achieve the maximum braking energy recovery in the case of normal braking.
Keywords: regenerative braking; electric vehicles; unmanned vehicle; intelligent brake system.
International Journal of Powertrains, 2019 Vol.8 No.3, pp.252 - 272
Available online: 09 Jul 2019 *Full-text access for editors Access for subscribers Purchase this article Comment on this article