Journal
RENEWABLE ENERGY
Volume 82, Issue -, Pages 26-34Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2014.10.012
Keywords
Fuel cells; Proton exchange membrane; Parameter identification; Voltage model; Thermal model; PSO
Funding
- United Arab Emirates University (UAEU) [31N114]
- Japan Cooperation Center, Petroleum (JCCP)
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People's extensive and ignorant lifestyles impose an increasing amount of destruction on the environment, which lead to an increased governmental and research interest towards the development and use of green technology such as fuel cells. Fuel cells are recently receiving a major share of research interest due to their promising features. This paper presents an offline parameter identification approach based on particle swarm optimization (PSO) to identify the mathematical modeling parameters of the Nexa 1.2 kW proton exchange membrane fuel cell (PEMFC) system. The goal of this work is not to get a new technique in modeling, but rather to obtain a very good model of the PEMFC system using a simple and fast heuristic approach that requires minimal mathematical effort. This model can then be utilized to perform further analysis and fault diagnosis studies on PEMFCs. The proposed approach uses basic fitting to determine some of the initial values for the PSO, while the rest of the initial values are set to be chosen randomly. The developed model is then successfully validated using actual experimental data sets. (C) 2014 Elsevier Ltd. All rights reserved.
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