基于模型预测控制的逻辑动态管理策略

Logical Dynamic Management Strategy Based on Model Predictive Control

本文针对一种并联混合动力汽车,提出了一种基于贝叶斯推论的需求功率预测方法,进而设计了基于模型预测的逻辑动态管理策略。建立动态预测控制模型以优化系统的燃油消耗。基于ADVISOR的仿真结果表明该控制策略能有效地提高混合动力系统燃油经济性,并充分利用电池的能量以更好的控制SOC的变化。

In this paper,for a parallel hybrid electric vehicle,a demand power prediction method based on Bayesian inference is proposed,and then a logic dynamic management strategy based on model prediction is designed.A dynamic predictive control model is established to optimize the fuel consumption of the system.Simulation results based on ADVISOR show that this control strategy can effectively improve the fuel economy of hybrid power system,and make full use of battery energy to better control the change of SOC.