Improving Parameter Estimation of Fuel Cell Using Honey Badger Optimization Algorithm

Improving Parameter Estimation of Fuel Cell Using Honey Badger Optimization Algorithm

In this study, we proposed an alternative method to determine the parameter of the proton exchange membrane fuel cell (PEMFC) since there are multiple variable quantities with diverse nonlinear characteristics included in the PEMFC design, which is specified correctly to ensure effective modeling. T...

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Bibliographic Details
Main Authors: Rolla Almodfer, Mohammed Mudhsh, Samah Alshathri, Laith Abualigah, Mohamed Abd Elaziz, Khurram Shahzad, Mohamed Issa
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Energy Research
Subjects:
parameter extracting
fuel cells
optimization
proton exchange membrane fuel cell
honey badger optimization algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.875332/full

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