A hybrid slime mold enhanced convergent particle swarm optimizer for parameter estimation of proton exchange membrane fuel cell

A hybrid slime mold enhanced convergent particle swarm optimizer for parameter estimation of proton exchange membrane fuel cell

Abstract High efficiency and eco friendliness, proton exchange membrane fuel cells (PEMFCs) have become a good solution to cleaner energy solutions. However, due to the electrochemical complexity of PEMFCs and the limitations of existing optimization methods, accurately estimating PEMFC parameters t...

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Bibliographic Details
Main Authors: Mohammad Aljaidi, Sunilkumar P. Agrawal, Anil Parmar, Pradeep Jangir, Arpita, Bhargavi Indrajit Trivedi, G. Gulothungan, Ali Fayez Alkoradees, Reena Jangid, Mohammad Khishe
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Proton exchange membrane fuel cells (PEMFCs)
Parameter optimization
SCPSO algorithm
Mixed mutant slime mold
Metaheuristic optimization
Online Access:https://doi.org/10.1038/s41598-025-92528-1

Internet

https://doi.org/10.1038/s41598-025-92528-1

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