PEM fuel cell model parameters optimization using modified particle swarm optimization algorithm

This paper proposed a technique to identify Proton Exchange Membrane Fuel Cell (PEMFC)'s parameters using an optimization approach. This paper present the application of particle swarm optimization (PSO) based algorithm known as local optima avoidance particle swarm optimization (LOAPSO) in extracting parameters from PEMFC. The proposed technique is used to identify the PEMFC parameters in term of the voltage-current characteristics. An experimental data from publish literature are used to test and verify the consistency of accurately identifying various parameters.