Effective parameters’ identification for polymer electrolyte membrane fuel cell models using grey wolf optimizer

The aim of this paper is to develop an accurate model for the polymer electrolyte membrane fuel cell (PEMFC), that can precisely mimic and simulate the electrical characteristics of actual PEMFC stacks at different operating conditions. Models of PEMFC are empirical, multi-variables and have many no...

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Vydané v:	Renewable energy Ročník 111; s. 455 - 462
Hlavní autori:	Ali, M., El-Hameed, M.A., Farahat, M.A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.10.2017
Predmet:	algorithms electrical properties electrolytes fuel cells Grey wolf optimizer Parameters’ identification Parametric and non-parametric statistical tests PEMFC modeling polymers renewable energy sources statistical analysis wolves Parameters’ identification PEMFC modeling Grey wolf optimizer Parametric and non-parametric statistical tests
ISSN:	0960-1481, 1879-0682
On-line prístup:	Získať plný text
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