Abstract: In order to prolong the power battery life and reduce the cost in the service life, an optimization strategy for energy management of extended-range electric vehicle (EREV) based on the battery attenuation model was proposed, which can identify the driving condition and adjust itself. Typical driving conditions of Advisor software were analyzed to extract and classify 4 operating conditions with high identification. Simulink and finitestate machine (FSM) was used to build the condition identification system and match the characteristic parameters; On the premise of controlling the battery charge and discharge flow, the differential strategy of increasing the battery charge amount at high speed condition and discharging quantity at city condition was formulated. Simulation results show that, compared with electric vehicle-charge sustaining (EV) strategy of traditional EREV, optimization strategy can extend battery life by 1.56 a; Compared with the Blended strategy for extending battery life, the optimized strategy can extend battery life by 0.28 a and reduce fuel consumption by 0.24% in the service cycle, which can reduce the service cost of the vehicle.