基于田口鲁棒优化的电动汽车驱动控制策略研究

Research on Electric Vehicle Drive Control Strategy Based on Taguchi Robust Optimization

  • 摘要: 为改善电动汽车驱动系统动力性和经济性,由电池组放电效率模型、驱动电机系统效率模型和电动汽车加速度模型,建立了综合目标函数.根据城市道路特征对综合目标函数动力性和经济性所占权重进行分配.分别以电机转矩-电机转速,电机转矩-加速踏板开度变化率为信号因子,驱动电机温度,电池组荷电状态为限值因子建立正交试验表,根据田口鲁棒控制动态特性信噪比对整车控制器输出转矩进行优化.根据GB/T 18386—2017电动汽车能量消耗率和续驶里程试验方法进行实车试验.试验结果表明行驶一个市区循环工况,相比于原车驱动控制策略,基于电机转矩-电机转速正交表的方法可节省能耗9%;基于电机转矩-加速踏板开度变化率正交表的方法可节省能耗4%.

     

    Abstract: In order to improve the dynamic and economy performance of the drive system of electric vehicle (EV), a battery discharge efficiency model, a drive motor system efficiency model and a EV acceleration model were used to build comprehensive objective function. Distributing the weights of the dynamic and economic performance of comprehensive objective function according to the characteristics of city roads, an orthogonal test table was established with the motor torque-motor speed and motor torque-accelerator pedal opening change rate as the signal factors, and with the driving motor temperature and battery pack state of charge as the limit factors. According to the signal to noise ratio of Taguchi robust control, the controller output torque of whole vehicle was optimized. A actual vehicle test was carried out according to the electric vehicles energy consumption and range test procedures in GB/T 18386-2017. The test results got in an urban road cycle show that, compared with previous drive control strategy, the method based on motor torque-motor speed orthogonal table can save energy consumption by 9%; the method based on motor torque-accelerator pedal opening change rate orthogonal table can save energy consumption by 4%.

     

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