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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Bibliographic Details
Published in:	International journal of green energy Vol. 20; no. 9; pp. 946 - 965
Main Authors:	Wang, Tongying, Huang, Haozhong, Li, Xuan, Guo, Xiaoyu, Liu, Mingxin, Lei, Han
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 15.07.2023
Subjects:	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
Online Access:	Get full text
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