Energy Control of Plug-In Hybrid Electric Vehicles Using Model Predictive Control With Route Preview  

作　　者：Yang Zhao Yanguang Cai Qiwen Song 

机构地区：[1]Department of Mechanical and Electrical Engineering,Guangdong University of Science and Technology,Dongguan 523083,China [2]School of Automation,Guangdong University of Technology,Guangzhou 510006,China [3]Transport Infrastructure Investment Company,Guangzhou 510620,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2021年第12期1948-1955,共8页自动化学报（英文版）

摘　　要：The paper proposes an adoption of slope,elevation,speed and route distance preview to achieve optimal energymanagement of plug-in hybrid electric vehicles(PHEVs).Theapproach is to identify route features from historical and real-time traffic data,in which information fusion model and trafficprediction model are used to improve the information accuracy.Then,dynamic programming combined with equivalent con-sumption minimization strategy is used to compute an optimalsolution for real-time energy management.The solution is thereference for PHEV energy management control along the route.To improve the system's ability of handling changing situation,the study further explores predictive control model in the real-time control of the energy.A simulation is performed to modelPHEV under above energy control strategy with route preview.The results show that the average fuel consumption of PHEValong the previewed route with model predictive control(MPC)strategy can be reduced compared with optimal strategy andbase control strategy.

关 键 词：Energy management model predictive control(MPC) optimal control plug-in hybrid electric vehicle(PHEV) 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] U469.7[自动化与计算机技术—控制科学与工程]