Parameter estimation of PEM fuel cell by using Enhanced Arctic Puffin Optimization algorithm

An essential challenge in fuel cell modelling is the identification of precise boundary conditions, often derived from the fuel cell manufacturer. In reality, not all data is provided in the manufacturer’s data sheet. Therefore, in order to enhance accuracy and estimate the performance of the cell,...

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Veröffentlicht in:	Ionics Jg. 31; H. 9; S. 9431 - 9497
Hauptverfasser:	Sharma, Pankaj, Raju, Saravanakumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2025 Springer Nature B.V
Schlagworte:	Algorithms Boundary conditions Chemistry Chemistry and Materials Science Condensed Matter Physics Correlation analysis Effectiveness Electrochemistry Emissions Energy Storage Foraging behavior Fuel cells Genetic algorithms Heuristic methods Mathematical models Optical and Electronic Materials Optimization Optimization algorithms Parameter estimation Parameter identification Performance enhancement Physics Proton exchange membrane fuel cells Renewable and Green Energy Sensitivity analysis Stacks Arctic region Arctic puffin optimization Proton exchange membrane fuel cell Statistical analysis Meta-heuristic algorithms Sum of square error
ISSN:	0947-7047, 1862-0760
Online-Zugang:	Volltext
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