Abstract: 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.

Key words: plug-in hybrid electric vehicle (PHEV), energy management strategy, dynamic programming (DP) algorithm, vehicle economy performance