基于充电行为电量规划的自适应能量管理策略OA北大核心CSTPCD

To enhance the fuel efficiency of plug-in hybrid electric vehicles (PHEV ),this paper takes parallel PHEVs as research object and proposes an adaptive energy management strategy based on charging behavior,energy planning,and the equivalent fuel consumption minimization strategy (ECMS).First,a set of combined operating conditions encompassing various work cycles is constructed.Second,an analysis of charging behavior is conducted based on driver-specific characteristics such as charging frequency,charging upper limit,and discharge lower limit.Offline simulation data on battery consumption and fuel consumption under the ECMS for four distinct operating conditions are then obtained.Finally,SOC trajectory planning is performed based on driver charging behavior and offline data.Our findings indicate that,with initial battery SOC values of 0.9 and 0.6 respectively,the proposed energy management strategy improves vehicle fuel economy by 7.87％ and 13.1％ compared to the ECMS solely based on battery consumption maintenance.