Parameter Optimization for a Pemfc Model With Particle Swarm Optimization

Abstract

There are many steady state models of polymer electrolyte membrane fuel cells (PEMFC). However, rarely the methods for parameter optimization of PEMFC stack model were discussed. In this paper an electrochemical-based fuel cell method is used and parameters of this PEMFC model are optimized by means of Particle Swarm Optimization (PSO). The target of this paper is to show how PSO apply for parameter optimization of fuel cells. At the end of paper the PSO test result are compared with Genetic Algorithm