基于DP算法的新双模PHEV系统能量管理策略

提出一种适用于新型双模插电式混合动力系统(DHS)构型的基于动态规划(DP)算法的能量管理策略。该策略采用瞬时等效油耗最小原则(ECMS)确定每一模式下的能量分配。借助Matlab/Simulink软件,在新欧洲标准行驶循环工况(NEDC)和美国城市道路循环工况(UDDS)下,仿真分析了该策略以及原结合了ECMS的基于动力性和经济性规则的逻辑门限能量管理策略下的整车能耗。结果表明:相对旧策略,采用本文策略,汽车在以上2种循环工况下行驶时,纯电续航里程提升了4.18%和3.49%,在电量不足状态下100 km油耗下降了3.84%和9.87%。因而,该基于DP算法的能量管理策略具有整车经济性优势。

Energy management strategy for novel dual-mode PHEV system based on DP algorithm

An energy management strategy of a novel dual-mode plug-in hybrid electric vehicle system(DHS)based on Dynamic programming(DP)algorithm was proposed.Equivalent consumption minimization strategy(ECMS)was used to determine the energy distribution in each mode in this strategy.The energy consumptions of the vehicle with this strategy and the previous dynamic and economic rule-based energy management strategy which incorporated ECMS were analyzed under the driving cycles of the New European Driving Cycle(NEDC)and of the Urban Dynamometer Driving Schedule(UDDS)in Matlab/Simulink environment.The simulation results show that by using the DP algorithm strategy,under the NEDC and the UDDS,the all-electric ranges(AER)of vehicles increase by 4.18%and 3.49%respectively,while under the condition of low state of charge(SOC)of the battery,the fuel consumptions decrease by 3.84%and 9.87%respectively.Therefore,the new strategy yields better fuel economy than the other.