Abstract: In view of the shortcomings of the traditional parameter identification methods of solar cell model,such as low accuracy,slow convergence speed,easy to trap in local optimization and so on,a parameter identification methods of solar cell based on improved elephant herding optimization（IEHO）algorithm is proposed. Chaos initialization is introduced to improve the quality of the initial population and enhance the ergodicity of the population. The fast moving operator is added,which greatly improves the convergence speed and global search ability of the algorithm. The elitist strategy is introduced to replace the worst individual with the optimal individual to speed up the convergence and shorten the optimization time of the algorithm. Applied to the parameter identification of solar cell model,the identification result of IEHO algorithm is faster and better than that of other algorithms. The parameter identification of solar cell model under different radiation is carried out,and the fitting degree of identification results is high with the measured data,which shows that IEHO algorithm can accurately and effectively identify the parameters of solar cell model in different environments.