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Model predictive control for active vibration suppression of hybrid electric vehicles during mode transition
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering ( IF 1.5 ) Pub Date : 2022-08-02 , DOI: 10.1177/09544070221117336
Ying Huang 1, 2 , Jian Wang 1 , Yunpeng Yue 3 , Long Yang 1
Affiliation  

To realize a rapid and comfortable mode transition process from pure electric mode to hybrid mode (E-H), this study proposes an innovative control strategy which combines open-loop control with model predictive control to regulate the E-H process for a P2.5 configuration hybrid electric vehicle. Firstly, a detailed vehicle longitudinal dynamic model is established and the mode transition process is divided into four phases to reveal the control problems. Based on this model, a strategy combining open-loop control with model predictive control is developed. The open-loop control is adopted before the clutch is locked in order to speed up the transition process and limit the vehicle jerk. The model predictive control (MPC) is adopted after the clutch is locked to actively suppress the vibration caused by the abrupt change of clutch torque at the moment of clutch lock-up. Finally, simulation and hardware-in-the-loop test demonstrate that the proposed strategy for mode transition can achieve both switching rapidity and riding comfort. The algorithm robustness is also discussed and the signal transmission delay influence caused by controller area network (CAN) is studied.



中文翻译:

混合动力汽车模式转换过程中主动振动抑制的模型预测控制

为了实现从纯电动模式到混合动力模式(EH)的快速舒适的模式转换过程,本研究提出了一种创新的控制策略,将开环控制与模型预测控制相结合,以调节P2.5配置混合动力电动汽车的EH过程。车辆。首先,建立详细的车辆纵向动力学模型,将模式转换过程分为四个阶段,揭示控制问题。基于该模型,开发了一种将开环控制与模型预测控制相结合的策略。在离合器锁止前采用开环控制,以加快过渡过程,限制车辆抖动。离合器锁止后采用模型预测控制(MPC),主动抑制离合器锁止时离合器扭矩突变引起的振动。最后,仿真和硬件在环测试表明,所提出的模式转换策略可以同时实现切换速度和乘坐舒适性。还讨论了算法的鲁棒性,研究了控制器局域网(CAN)对信号传输延迟的影响。

更新日期:2022-08-02
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