Application of Dynamic Programming Algorithm Based on Model Predictive Control in Hybrid Electric Vehicle Control Strategy

Xiaokan Wang, Qiong Wang
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Abstract

: A good hybrid vehicle control strategy cannot only meet the power requirements of the vehicle, but also effectively save fuel and reduce emissions. In this paper, the construction of model predictive control in hybrid electric vehicle is proposed. The solving process and the use of reference trajectory are discussed for the application of MPC based on dynamic programming algorithm. The simulation of hybrid electric vehicle is carried out under a specific working condition. The simulation results show that the control strategy can effectively reduce fuel consumption when the torque of engine and motor is reasonably distributed, and the effectiveness of the control strategy is verified.
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基于模型预测控制的动态规划算法在混合动力汽车控制策略中的应用
:良好的混合动力汽车控制策略既能满足车辆的动力要求,又能有效地节省燃油,减少排放。本文提出了混合动力汽车模型预测控制的构建方法。讨论了基于动态规划算法的MPC的求解过程和参考轨迹的使用。在特定工况下对混合动力汽车进行仿真。仿真结果表明,在合理分配发动机和电机转矩的情况下,该控制策略能有效降低燃油消耗,验证了该控制策略的有效性。
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