插电式P2混合动力汽车模式切换转矩协调控制策略

Torque coordination control strategy for mode switching of P2 PHEV

针对混合动力汽车纯电动模式向混合驱动模式或发动机单独驱动模式切换时,因双动力源响应差异而引起的转矩波动问题,提出模式切换转矩协调控制策略。仿真结果表明,在阶跃响应与斜坡响应下,神经网络PID控制误差值均维持在可控范围,虽然在阶跃响应的0.2 s时瞬态误差为80 N·m,但其快速通过后于0.3 s趋于稳定。在三种信号响应下,由于神经网络PID能够自适应控制参数,因此其在目标转矩跟随性、时间滞后性方面表现良好,控制误差仅为传统PID控制方法的13。所提方法将对神经网络PID+电动机转矩补偿相结合的模式切换转矩协调控制策略研究奠定一定的理论基础。

A torque coordination control strategy for mode switching is proposed in view of the torque fluctuation caused by the dual power producer response differences in the switching from the HEV(hybrid electric vehicle)pure electric mode to the hybrid drive mode or to the engine separate drive mode.The simulation results show that the error values of the neural network PID(proportion-integral-derivative)control in the step response and slope response are maintained in controllable ranges.Although the transient error is 80 N·m when the step response lasts for 0.2 s,it soon tends to be stable when the step response lasts for 0.3 s.Under the background of the three kinds of signal responses,since the neural network PID can adapt to the control parameters,the neural network PID performs well in terms of target torque follow performance and time lag,and the control error is only 13 of that of the traditional PID control method.The proposed method will lay a theoretical foundation for the research of torque coordination control strategy for mode switching which combines the neural network PID and motor torque compensation.