Parameter identification for proton exchange membrane fuel cell model using particle swarm optimization

摘要: Abstract The accurate mathematical model is an extremely useful tool for simulation and design analysis of fuel cell power systems. Particle swarm optimization (PSO) a recently invented high-performance algorithm. In this work, PSO-based parameter identification technique proton exchange membrane (PEM) models was proposed in terms the voltage–current characteristics. Using simulated experimental data, validity method has been confirmed. results indicate that PSO effective identifying parameters PEM even presence measuring noise. Moreover, does not particularly necessitate initial guesses as close possible to solutions, required only broad range specified each parameters. Therefore, outperforms GA traditional methods.