Yaw Stability Control Based on hMPC for Dual-motor Driven Electric Vehicles

Fang Cao, Cheng Lin, S. Liang, Jian Chen
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Abstract

Since dual-motor driven electric vehicles (DDEVs) can achieve independent and accurate control of the wheel torque, this paper proposes a hierarchical yaw stability control strategy based on model predictive control (MPC) for DDEVs to improve the performance of vehicle yaw stability. A two-degree-of-freedom (2DOF) vehicle dynamic model is developed to calculate the desired vehicle states, which are used as the reference signals in the upper layer controller, based on linear MPC. In the lower layer, a hybrid MPC (hMPC) method is carried out for the torque distribution considering the nonlinear characteristics of the tire longitudinal force and the piecewise linearization of the longitudinal force of the tire is performed. Finally, the proposed strategy is evaluated in Matlab and the results indicate that the suggested hierarchical yaw stability control strategy can significantly improve the vehicle yaw stability.
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基于hMPC的双电机驱动电动汽车偏航稳定性控制
针对双电机驱动电动汽车可实现车轮转矩独立精确控制的特点,提出了一种基于模型预测控制(MPC)的双电机驱动电动汽车横摆稳定性分级控制策略,以提高整车的横摆稳定性。建立了一种基于线性MPC的二自由度车辆动力学模型,用于计算期望的车辆状态,并将其作为上层控制器的参考信号。在下层,考虑轮胎纵向力的非线性特性,采用混合MPC (hMPC)方法求解扭矩分布,并对轮胎纵向力进行分段线性化。最后,在Matlab中对所提出的策略进行了评估,结果表明所提出的分层偏航稳定性控制策略能够显著提高车辆的偏航稳定性。
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