A Multi-Objective Optimal Torque Distribution Strategy for Four In-Wheel-Motor Drive Electric Vehicles

IEEE Access

Cheng Lin¹  Xiang Gao¹  Jian Chen¹  Sheng Liang¹ 

[1] National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China;

关键词: Electric vehicles;    torque distribution strategy;    hybrid model predictive control (hMPC);    multi-objective control;   

DOI  :  10.1109/ACCESS.2019.2917313

来源: DOAJ

【 摘 要 】

Since four in-wheel-motor drive electric vehicles (4IDEVs) are overactuated systems, the torque distribution strategy is crucial for improving the system efficiency, lateral stability, and safety. Hence, this paper proposes a multiobjective optimal torque distribution strategy for 4IDEVs to improve the vehicle yaw stability performance and energy efficiency. First, a motor energy loss model is built to describe the motor power loss characteristics, and an energy efficiency control allocation (EECA) method over the NEDC is proposed to analyze the model accuracy. Then, a hybrid model predictive control (hMPC)-based nonlinear yaw stability controller is employed to calculate the reference yaw moment and the active steering angle. Finally, a multiobjective controller is designed to minimize the drivetrain power loss while ensuring the vehicle stability, in which the four wheels torques are allocated to track the reference yaw moment. The proposed strategy is evaluated on the dSPACE-based platform over the single lane change test and fishhook steering test. The results indicate that the suggested torque distribution strategy can improve the vehicle stability on different conditions and the energy consumption is significantly reduced compared to an electric stability control (ESC) method.

【 授权许可】

Unknown