一种四轮驱动汽车扭矩分配模型预测方法

A Torque Distribution Model Prediction Method for Four-wheel Drive Vehicles

4WID-EV是四轮独立驱动电动车,可以通过分别控制每个车轮的扭矩来实现更加精确的转向和动力分配。MPC(Model Predictive Control)模型预测控制算法是一种基于数学模型的控制方法,通过预测未来系统行为来生成控制动作,在电动汽车行业中,MPC被广泛应用于车辆稳定性控制、能量管理以及路径规划等领域。为了达到车辆节能的目的,基于模型预测控制算法,设计一种优化电动汽车行驶能耗的扭矩分配控制器模型,并且在ECE城市道路行驶工况下进行MPC优化分配、平均分配、前轴分配三种分配策略仿真对比分析。结果表明:相比于平均分配和后轴驱动,MPC优化分配方式整车能耗效率提升5.5%和10.61%,具有较好的节能性能。

The 4WID-EV is a four-wheel independent drive electric vehicle that achieves more precise steering and power distribution by individually controlling the torque of each wheel.model predictive control(MPC)is a control method based on mathematical models that generates control actions by predicting the future behavior of the system.This paper proposes an optimized torque demand controller model for improving the energy consumption of electric vehicle travel based on the MPC algorithm,and MPC optimization allocation is performed under the ECE urban road driving conditions using three allocation strategies:average allocation,front axle allocation,and the proposed allocation model.The results demonstrate that compared with the average distribution and rear axle drive,the energy consumption efficiency of the MPC optimization distribution is increased by 5.5%and 10.61%,which has better energy saving performance.