Parameter estimation of PEM fuel cells using metaheuristic algorithms

[Display omitted] •Necessary constraint is included when using GSSEM to avoid inconsistency.•An Improved Artificial Hummingbird Algorithm is employed to extract unknown parameters.•Seven PEMFC cases are taken to validate the proposed model and algorithm.•Comprehensive comparisons with other algorith...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Measurement : journal of the International Measurement Confederation Jg. 237; S. 115302
Hauptverfasser: Xuebin, Li, Zhao, Jin, Daiwei, Yu, Jun, Zhang, Wenjin, Zhang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 30.09.2024
Schlagworte:
Artificial Hummingbird Algorithm
Constrained optimization
Lévy flights
Parameter estimation
PEMFC
Artificial Hummingbird Algorithm
Lévy flights
PEMFC
Parameter estimation
Constrained optimization
ISSN:0263-2241
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:[Display omitted] •Necessary constraint is included when using GSSEM to avoid inconsistency.•An Improved Artificial Hummingbird Algorithm is employed to extract unknown parameters.•Seven PEMFC cases are taken to validate the proposed model and algorithm.•Comprehensive comparisons with other algorithms and models are carried out. Developing an accurate model for precise parameter estimation is crucial for the design of polymer electrolyte membrane fuel cells (PEMFC). While many studies can meet the evaluation criteria for parameter estimation, there is a significant physical inconsistency when applying the Generalized Steady State of Electrochemical Model (GSSEM) prediction in the optimization framework. This study aims to address this inconsistency by adding necessary constraints to the optimization model. It employs the Artificial Hummingbird Algorithm (AHA) and Lévy flight improvement to find unknown parameters by minimizing the sum of squared errors (SSE). The proposed method has been rigorously tested with seven PEMFC cases, demonstrating its robustness and superior accuracy compared to alternative approaches. Notably, the cathode charge transfer coefficient exhibits zero relative percent difference (RPD) between the two sources, confirming its physical consistency. Furthermore, the proposed constrained optimization model lays the groundwork for achieving consistent parameter estimation results for PEMFC when utilizing GSSEM.
ISSN:0263-2241
DOI:10.1016/j.measurement.2024.115302