Aiming at the problems of low identification accuracy and long identification time in the traditional proton exchange membrane fuel cell model parameter identification method, a proton exchange membrane fuel cell model parameter identification method based on improved Harris hawks and particle swarm optimization algorithm is proposed. The main technical parameters of proton exchange membrane fuel cell are determined through the capacity, internal resistance, discharge depth and discharge power of proton exchange membrane fuel cell, the simulation model of proton exchange membrane fuel cell is established under Matlab / Simulink, and the particle swarm optimization algorithm is introduced to improve the Harris hawks algorithm, The improved Harris hawks algorithm is used to identify the model parameters of proton exchange membrane fuel cell. The simulation results show that the proposed method has high accuracy and short identification time.