A two phase differential evolution algorithm with perturbation and covariance matrix for PEMFC parameter estimation challenges

A two phase differential evolution algorithm with perturbation and covariance matrix for PEMFC parameter estimation challenges

Abstract Parameter identification of Proton Exchange Membrane Fuel Cells (PEMFCs) is a key factor in improving the performance of the fuel cell and assuring the operational reliability. In this study, a novel algorithm PCM-DE, based on the Differential Evolution framework, is proposed. A perturbatio...

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Main Authors: Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Proton exchange membrane fuel cell (PEMFC)
Parameter identification
Differential evolution
Perturbation mechanism
Metaheuristic algorithms
Online Access:https://doi.org/10.1038/s41598-025-92818-8
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https://doi.org/10.1038/s41598-025-92818-8

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