A multi-objective optimization method for energy management strategy (EMS) of the fuel cell hybrid electric vehicle (FCHEV) is proposed to improve the efficiency of the drive system and optimize the durability of fuel cell. The equivalent hydrogen consumption model of the hybrid power system is established according to the power flow and the efficiency characteristics of key components. In addition, the lifetime degradation of fuel cell based on the load variation is considered. The energy management system is achieved by presenting an intelligent power allocation method, that is, the control strategy based on fuzzy logic control (FLC). In further research, in order to ameliorate the energy management strategy, the parameters of the fuzzy controller are optimized with the assistance of genetic algorithm (GA). A multi-objective optimization problem which takes equivalent fuel consumption and fuel cell lifetime as optimization targets is proposed. The improved fast non-dominated sorting genetic algorithm (NSGA-II) is used to solve the multi-objective optimization problem, so as to optimize the control parameters. Finally, the optimization results of the above algorithm are tested, and the optimized strategy and other strategies are simulated by the advanced vehicle simulator (ADVISOR) under typical conditions. The results demonstrate that the optimization is effective, and the optimized control strategy has a considerable degree of superiority.