Acceleration Slip Regulation for Electric Vehicles Based on Fuzzy PID Controller
Acceleration Slip Regulation for Electric Vehicles Based on Fuzzy PID Controller
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DOI：
10.1109/iccais56082.2022.9990274
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
An-Toan Nguyen-;B. Nguyen;J. Trovão;M. C. Ta
中科院分区：
文献类型：
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作者：
An-Toan Nguyen-;B. Nguyen;J. Trovão;M. C. Ta
提出了一种基于模糊PID（FPID）控制的四轮独立电机驱动电动汽车加速转差率调节（ASR）方法。ASR体系结构分为三层。上层基于对车辆速度的控制来确定总牵引力。中间层根据轮胎的总工作负荷确定最佳的轮胎纵向力分布。在车轮打滑的情况下，最佳纵向力将由FPID控制器调整。在下层中，牵引力被转换为每个动力系的参考扭矩。采用能量宏观表示法（EMR）对所研究的飞行器进行了建模和控制组织。仿真试验表明，采用FPID控制器的ASR能有效地限制车轮滑移率，提高车辆的稳定性。
This paper proposes an acceleration slip regulation (ASR) by the fuzzy PID (FPID) controller for electric vehicles with four-wheel independent motor drive. The ASR architecture is hierarchically presented by three layers. The upper layer determines the total traction force based on the control of vehicle velocity. The middle layer determines optimum tire longitudinal force distribution depending on the total tire workload. In case of wheel slip, the optimum longitudinal force will be adjusted by the FPID controller. In the lower layer, the traction forces are converted to reference torque for each powertrain. The modeling and control organization of the studied vehicle are presented by using energetic macroscopic representation (EMR). Simulation tests show that ASR with FPID controller can limit the slip ratio of the wheels and improve the vehicle stability.