Parameter Optimization for a Polymer Electrolyte Membrane Fuel Cell Model

Abstract:

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The accurate mathematical model is an important tool for simulation and design analysis of fuel cell power systems. Semi-empirical models are easier to be obtained and can also be used to accurately predict the performance of fuel cell system for engineering applications. Particle swarm optimization (PSO) is a recently invented high-performance algorithm. In this paper, a parameter optimization technique of PEMFC semi-empirical models based on DKPSO was proposed in terms of the voltage-current characteristics. The simulated and experimental data confirmed the validity of the optimization technique, and indicated that PSO is an effective tool for optimizing the parameters of PEMFC models.

Info:

Periodical:

Edited by:

Yi-Min Deng, Aibing Yu, Weihua Li and Di Zheng

Pages:

834-838

DOI:

10.4028/www.scientific.net/AMM.37-38.834

Citation:

X. Li et al., "Parameter Optimization for a Polymer Electrolyte Membrane Fuel Cell Model", Applied Mechanics and Materials, Vols. 37-38, pp. 834-838, 2010

Online since:

November 2010

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$35.00

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