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

作　　者：范艺凡 杨惺幸 董守鸿 潘天泽 Fan Yifan;Yang Xingxing;Dong Shouhong;Pan Tianze(School of Information Engineering,Henan University of Science and Technology, Luoyang Henan471009, China)

机构地区：[1]河南科技大学信息工程学院,河南洛阳471009

出　　处：《山西电子技术》2021年第5期38-40,46,共4页Shanxi Electronic Technology

基　　金：河南科技大学校级大学生科研训练计划(SRTP)(2020080)。

摘　　要：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.

关 键 词：并联混合动力汽车 模型预测控制 控制策略 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]