A Sliding Mode Predictive Control Approach for Traction Control of Battery Electric Vehicle

Compared to the combustion engine, the electric motor has a larger torque and a millisecond response speed, which can easily lead to wheel slip. The goal of traction control for battery electric vehicles is ensure the safety of the vehicle, and improve longitudinal acceleration performance. To improve the security and stability in traction control processes of battery electric vehicles and control the electric motor torque to output reasonably and effectively, a sliding mode predictive control algorithm for traction control is proposed. The joint simulation based on Carsim and Simulink verifies the effectiveness of the algorithm. The simulation results show that the sliding mode predictive control algorithm can accurately control the slip ratio of the traction wheels around the optimal value and which is a good candidate to regulate the traction wheels from spinning out during acceleration.