基于预测的PHEV动力分配模糊逻辑控制策略

PHEV power distribution fuzzy logic control strategy based on prediction

汽车运行工况对并联混合动力汽车燃油经济性具有重要影响,在用马尔科夫预测方法预测并联混合动力汽车在未来一定时间内的运行状态的基础上,提出根据预测出的状态利用模糊逻辑控制策略,来实现发动机和电机之间的最优转矩分配,使发动机工作在最佳工作点,电池SOC值保持在预期范围内.该策略克服了动态规划等全局最优控制策略需要预知全程路况信息的缺点,具有很好的实时性和鲁棒性.Advisor仿真结果表明:该方法和传统的模糊逻辑控制策略和逻辑门限控制策略相比,能更好地改善汽车燃油经济性.

Driving cycles have a significant influence on fuel economy of parallel hybrid electric vehicles（PHEV）.In this paper,a method is put forward based on Markov prediction for parallel hybrid electric vehicles＇ future driving cycles.According to the predicted results,a fuzzy logic strategy is used to achieve optimal torque distribution between the engine and the motor,making the engine work at optimal operating point,and keep the value of battery SOC within the expected range.According to rolling optimization features of predictive control strategy,the control strategy presented here overcomes the shortcomings of the global optimal control strategy which needs to predict the full traffic information and thus has a good real-time performance and robustness.Advisor simulation software was used to analyze the performances of hybrid vehicles by using this control strategy and existing typical control strategies respectively.The simulation results show this control strategy improves vehicle fuel economy compared to the existing typical fuzzy logic control strategy and logic threshold control strategy.