Optimal estimation of proton exchange membrane fuel cell model parameters based on an improved chicken swarm optimization algorithm

Proton exchange membrane fuel cell (PEMFC) has been gradually applied in new energy vehicles, aviation and other industries, attracting widespread attention. Accurately identifying unknown parameters in the mathematical model of PEMFC is beneficial to the simulation, control and prediction of its ou...

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Vydané v:	International journal of green energy Ročník 20; číslo 9; s. 946 - 965
Hlavní autori:	Wang, Tongying, Huang, Haozhong, Li, Xuan, Guo, Xiaoyu, Liu, Mingxin, Lei, Han
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 15.07.2023
Predmet:	algorithms aviation chickens electric potential difference fuel cells improved chicken swarm algorithm integral of absolute error mathematical models parameter estimation partial pressure polarization curves prediction Proton exchange membrane fuel cell renewable energy sources swarms temperature
ISSN:	1543-5075, 1543-5083, 1543-5083
On-line prístup:	Získať plný text
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