Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm

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Veröffentlicht in:	Energy reports 5(2019) vom: Nov., Seite 1616-1625
Personen und Körperschaften:	Cao, Yan (VerfasserIn), Li, Yiqing (VerfasserIn), Zhang, Geng (VerfasserIn), Kittisak Jermsittiparsert (VerfasserIn), Razmjooy, Navid (VerfasserIn)
Titel:	Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm/ Yan Cao, Yiqing Li, Geng Zhang, Kittisak Jermsittiparsert, Navid Razmjooy
Format:	E-Book-Kapitel
Sprache:	Englisch
veröffentlicht:	2019
Gesamtaufnahme:	: Energy reports, 5(2019) vom: Nov., Seite 1616-1625 , volume:5
Schlagwörter:	Aufsatz in Zeitschrift
Quelle:	Verbunddaten SWB Lizenzfreie Online-Ressourcen

Details
Zusammenfassung:	This study proposes an optimal model to design and simulate the proton exchange membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved version of seagull optimization algorithm for optimal parameter identification of the PEMFC stacks. The new algorithm uses the Lévy flight mechanism to give faster convergence rates. The sum of the squared error between the empirical values and achieved optimal model is analyzed based on two empirical PEMFC models including BCS 500-W and NedStack PS6. This analysis is performed to show the potential of the presented method by considering different conditions. Simulation results are compared with several optimization algorithms and show the algorithm’s superiority in terms of the solutions quality and the convergence speed.
ISSN:	2352-4847
DOI:	10.1016/j.egyr.2019.11.013