58%。By using powertrain system analysis toolkit (PSAT) which is kind of software with forward simulation approach and divided rectangles (DIRECT) global optimization algorithm, an energy management control strategy for a parallel plug-in hybrid electric vehicle (PHEV) on different charging depleting range (CDR) were studied. The results show that as the CDR increases, the impact of control strategy parameters on PHEV economic performance becomes smaller. By applying small-CDR optimal control parameters to PHEV, its average economic performance is better than that of large-CDR optimal control parameters. The final optimal energy management control strategy can reduce PHEV average equivalence fuel consumption to 2.70L/(100km), which is 58% lower than that of prototype vehicle.