Dynamic modeling of a proton-exchange membrane fuel cell using a gaussian approach
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Fecha
2021-11
Profesor/a Guía
Facultad/escuela
Idioma
en
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Título del volumen
Editor
MDPI
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Licencia CC
Atribución 4.0 Internacional (CC BY 4.0)
Licencia CC
https://creativecommons.org/licenses/by/4.0/deed.es
Resumen
This paper proposes a Gaussian approach for the proton-exchange membrane fuel cell (PEMFC) model that estimates its voltage behavior from the operating current value. A multi-parametric Gaussian model and an unconstrained optimization formulation based on a conventional non-linear least squares optimizer is mainly considered. The model is tested using experimental data from the Ballard Nexa 1.2 kW fuel cell (FC). This methodology offers a promising approach for static and current-voltage, characteristic of the three regions of operation. A statistical study is developed to evaluate the effectiveness and superiority of the proposed FC Gaussian model compared with the Diffusive Global model and the Evolution Strategy. In addition, an approximation to the exponential function for a Gaussian model simplification can be used in systems that require real-time emulators or complex long-time simulations. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Notas
Indexación: Scopus
Palabras clave
Diffusive model, Evolution strategy, Gaussian model, Proton exchange membrane fuel cell, Voltage-current dynamic response
Citación
Membranes Volume 11, Issue 12December 2021 Article number 953
DOI
10.3390/membranes11120953