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.

کلیدواژه ها:

Fuel Cell ، Parameter identification ، PSO ، PEMFC