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针对采用离合器和行星排作为动力耦合机构的重度混合动力汽车在模式切换过程中动力源输出转矩波动过大从而影响驾驶平顺性的问题,考虑模式切换过程中发动机和电机动态特性的差异,采用遗传算法结合BP神经网络建立了发动机转矩模型。在对离合器接合与分离前后发动机输出转矩准确估计的基础上,通过离合器接合压力的模糊控制和电机输出转矩对发动机转矩波动的补偿控制,减小了不同模式切换过程的输出转矩波动,以提高模式切换的平顺性。建立了该重度混合动力汽车的动力学仿真模型,并进行了不同混合驱动模式之间模式切换的仿真分析。结果表明,采用本文提出的转矩协调控制方法能够有效提高模式切换的平顺性。
Aiming at the problem that the output torque of the power source fluctuates too much during the mode switching, which affects the ride comfort of a heavy-duty hybrid vehicle adopting the clutch and the planetary gear as the power coupling mechanism, and considering the difference of the dynamic characteristics of the engine and the motor during the mode switching, The genetic algorithm combined with BP neural network established the engine torque model. Based on the accurate estimation of engine output torque before and after clutch engagement and disengagement, the output torque ripple of different mode switching process is reduced by fuzzy control of clutch engagement pressure and compensation control of motor output torque on engine torque ripple , To improve the smooth switching mode. The dynamic simulation model of this hybrid vehicle was established and the simulation of mode switching between different hybrid driving modes was carried out. The results show that the torque coordination control method proposed in this paper can effectively improve the smoothness of mode switching.