应用模型预测控制的混合动力汽车模式切换动态协调控制

Dynamic coordination control of mode transition using model predictive control for hybrid electric vehicle

中文关键词  混合动力汽车  模型预测控制  协调控制  模式切换

英文关键词  hybrid vehicle  model predictive control(MPC)  coordination control strategy  mode transition

中文摘要

      利用传统协调控制策略或模型预测控制（MPC）方法能够解决离合器模式切换的平顺性，但其改善效果不显著，且缺乏深入的细化研究。因此，为了改进混合动力汽车有离合器结合的模式切换过程中的平顺性，本文基于MPC制定有离合器模式切换过程的动态协调控制策略。在对混合动力系统有离合器模式切换模型进行简化的基础上，开展MPC在模式切换动态协调控制过程的原理描述，以减小有离合器模式间切换的冲击度进行基于MPC动态协调控制策略设计，并对不同权重下的冲击度进行了详细的对比。通过实验验证，其结果表明采用MPC的模式切换协调控制最大冲击度从26.3 下降至9.26 ，降低了64.8%，明显的抑制了模式切换过程中的冲击度，有效的改善了模式切换的平顺性。

英文摘要

      Employing traditional coordination control strategy or model predictive control(MPC) to solve the ride comfort problem during mode transition, however, there are disadvantages such as the non-significant effect of the improvement and the lack of in-depth detailed research. In this paper, a dynamic coordination control strategy involving the clutch mode transition process based on the model predictive control is formulated to ameliorate the ride comfort of the mode transition process with clutch engagement for hybrid electric vehicles. On the basis of simplifying mode transition model with clutch in hybrid system, the principle description of MPC on mode transition coordination control is carried out to reduce the jerk of mode transition with clutch which is employed to perform the design of dynamic coordination control strategy based on MPC, and then the comparison of jerk under different weighting factors is performed. Through experimental verification, the results show that the maximum jerk of mode transition coordination control using MPC was declined from 26.3 to 9.26 , and 64.8% decreased, which effectively suppresses the jerk in the process of the mode transition and improves the ride comfort.