Paper Title:
Parameter Optimization for a Polymer Electrolyte Membrane Fuel Cell Model
  Abstract

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, Q. Yan, D. T. Yu, "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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Price
$32.00
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