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Determining PEMFC Model Parameters with IPSO Algorithm

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Abstract:

An improved particle swarm optimization algorithm is proposed for determining proton exchange membrane fuel cell (PEMFC) model parameters according to its V-I characteristics. In the algorithm, the weight update is adaptive with the change of objective function. The test results indicate that satisfying parameter accuracy can be achieved by the algorithm. Also, the V-I characteristics obtained by the improved particle swarm optimization algorithm are in good agreement with the simulated data.

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Periodical:

Advanced Materials Research (Volumes 608-609)

Pages:

955-958

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.608-609.955

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Online since:

December 2012

Authors:

Xiao Dong Wang, Mei Ying Ye, You Sheng Xu

Keywords:

Parameter Determination, Particle Swarm Optimization Algorithm, PEMFC Model

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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