A new braking strategy based on motor characteristics and vehicle dynamics for unmanned electric vehicles

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.