Seven-parameter PEMFC model optimization using an battlefield optimization algorithm

Seven-parameter PEMFC model optimization using an battlefield optimization algorithm

Precise modeling of Proton Exchange Membrane Fuel Cells (PEMFCs) requires accurate identification of key parameters, which are often unavailable from manufacturers but crucial for predicting fuel cell performance. The system relies on seven key parameters to determine activation and ohmic and concen...

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Bibliographic Details
Main Authors: Manish Kumar Singla, S.A. Muhammed Ali, Jyoti Gupta, Pradeep Jangir, Arpita, Ramesh Kumar, Reena Jangid, Mohammad Khishe
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Electrochemistry Communications
Subjects:
Machine learning
Optimization
Fuel cell
Parameter estimation
Run time
Friedman ranking test
Online Access:http://www.sciencedirect.com/science/article/pii/S1388248125001730
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