A PSO based Method for Identification and Estimation of Proton Exchange Membrane Fuel Cell’s System Parameters

In this paper a technique to identify Proton Exchange Membrane Fuel Cell (PEMFC)'s parameters using an optimization approach is proposed. The PEMFC is characterized by technological and empirical parameters and their identification is a hard and time wasting task if is intended to have precise simulation results in a wide range of operating conditions. The Particle Swarm Optimization (PSO) method is a powerful tool to identify the correct parameter value and used for fast and precise PSO parameter's identification which is achieved by minimizing the difference between experimental and simulated result.

Keywords:

Fuel Cell , Parameter identification , PSO , PEMFC