Journal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 35, Issue 22, Pages 12618-12625Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2010.07.129
Keywords
Genetic algorithms; Fuel cell; Identification
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The target in this paper is to show how the parameter range the validation strategy and the selection of the algorithm effect on the performance of Genetic Algorithms in parameter identification of different fuel cells The data originates in the current vs voltage curves (polarization curves) from the published literature It comes from one fuel cell and consists on four independent data sets The results seem promising - a real coded Genetic Algorithm seems to provide with the model parameters that take the properties of the fuel cell into account The parameter range is in this case the dominating variable and it needs a careful consideration before identification trials The histograms of the model parameters during identification can serve as guidelines for the selection of proper ranges for the identified parameters (C) 2010 Professor T Nejat Veziroglu Published by Elsevier Ltd All rights reserved
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