Parameter Optimization for a Polymer Electrolyte Membrane Fuel Cell Model

Xin Li; Qun Yan; Da Tai Yu

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 37-38Parameter Optimization for a Polymer Electrolyte...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 37-38)

Pages:

834-838

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.37-38.834

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Online since:

November 2010

Authors:

Xin Li, Qun Yan, Da Tai Yu

Keywords:

Parameter Optimization, Particle Swarm Algorithm, PEMFC

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