Benchmark of proton exchange membrane fuel cell parameters extraction with metaheuristic optimization algorithms

Proton exchange membrane fuel cell (PEMFC) models are multivariate with different nonlinear elements which should be identified accurately to assure dependable modeling. Metaheuristic algorithms are perfect candidates for this purpose since they do an informed search for finding the parameters. This...

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Veröffentlicht in:	Energy (Oxford) Jg. 183; S. 912 - 925
Hauptverfasser:	Kandidayeni, M., Macias, A., Khalatbarisoltani, A., Boulon, L., Kelouwani, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.09.2019 Elsevier BV
Schlagworte:	Algorithms Benchmarks Case studies Cell culture Evolutionary algorithms Fuel cells Fuel technology Heuristic methods Mathematical models Metaheuristic algorithms Optimization Parameters PEMFC Proton exchange membrane fuel cells Protons Semi-empirical modeling Shuffled frog-leaping algorithm Standard deviation temperature Variance PEMFC Shuffled frog-leaping algorithm Metaheuristic algorithms Semi-empirical modeling
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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