In this paper, a vehicle dynamics model and a battery life attenuation model were established for a hybrid dual-motor plug-in hybrid vehicle. At the same time, to reflect the influence of battery temperature on battery life, a battery temperature model was also established. Considering the impact of energy management control on energy economy and battery life decay, a energy management strategy of multi-mode logic rules was developed, and the impact of different control parameters on energy economy and battery life was analyzed. A multi-objective optimization model with equivalent fuel consumption and battery life attenuation was established to optimize the energy management strategy control parameters based on multi-objective improved genetic algorithm. The results show that the Pareto optimal solutions based on the design and optimization method of PHEV (plug-in hybrid electric vehicle) energy management strategy in this article are feasible in terms of both energy consumption economy and battery life of plug-in hybrid vehicles. With many different optimal solutions of control parameters, it provides a variety of alternative schemes for the design and application of PHEV energy management strategy.