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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Vydané v:	Energy (Oxford) Ročník 183; s. 912 - 925
Hlavní autori:	Kandidayeni, M., Macias, A., Khalatbarisoltani, A., Boulon, L., Kelouwani, S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Elsevier Ltd 15.09.2019 Elsevier BV
Predmet:	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
On-line prístup:	Získať plný text
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