一种动态规划算法模型预测控制在混合动力汽车控制策略中的应用
Application of a Dynamic Programming Algorithm Model Predictive Control in Hybrid Electric Vehicle Control Strategy
摘要:
良好的混合动力汽车控制策略，不仅能满足车辆的动力需求，而且能有效地节省燃油、减少排放。本研究提出了模型预测控制在混合动力汽车的构建，针对基于动态规划算法在模型预测控制的应用论述了求解过程以及参考轨迹的使用。在某一特定工况下，对混合动力汽车进行了仿真，结果表明该控制方法在合理分配发动机和电动机的转矩时，可以有效降低燃油消耗的目的，进而验证了该控制策略的有效性。
Abstract:
Good control strategy of hybrid electric vehicles can not only meet the power demand of vehicles, but also effectively save fuel and reduce emissions. In this paper, the construction of model pre-dictive control (MPC) in hybrid electric vehicle (HEV) 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 results show that the control method can effectively reduce fuel con-sumption when the torque of engine and motor is reasonably distributed, and the effectiveness of the control strategy is verified.
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