Application of Support Vector Machine to Obtain the Dynamic Model of Proton-Exchange Membrane Fuel Cell

Vista sencilla de ítem
dc.contributor.authorDurango, James Marulanda
dc.contributor.authorGonzález Castaño, Catalina
dc.contributor.authorRestrepo, Carlos
dc.contributor.authorMuñoz, Javier
dc.date.accessioned2023-06-06T16:56:04Z
dc.date.available2023-06-06T16:56:04Z
dc.date.issued2022-11
dc.descriptionIndexación: Scopus.es
dc.description.abstractAn accurate model of a proton-exchange membrane fuel cell (PEMFC) is important for understanding this fuel cell’s dynamic process and behavior. Among different large-scale energy storage systems, fuel cell technology does not have geographical requirements. To provide an effective operation estimation of PEMFC, this paper proposes a support vector machine (SVM) based model. The advantages of the SVM, such as the ability to model nonlinear systems and provide accurate estimations when nonlinearities and noise appear in the system, are the main motivations to use the SVM method. This model can capture the static and dynamic voltage–current characteristics of the PEMFC system in the three operating regions. The validity of the proposed SVM model has been verified by comparing the estimated voltage with the real measurements from the Ballard Nexa® (Formula presented.) kW fuel cell (FC) power module. The obtained results have shown high accuracy between the proposed model and the experimental operation of the PEMFC. A statistical study is developed to evaluate the effectiveness and superiority of the proposed SVM model compared with the diffusive global (DG) model and the evolution strategy (ES)-based model. © 2022 by the authors.es
dc.description.urihttps://www.mdpi.com/2077-0375/12/11/1058
dc.identifier.citationMembranes, Volume 12, Issue 11, November 2022, Article number 1058es
dc.identifier.doi10.3390/membranes12111058
dc.identifier.issn2077-0375
dc.identifier.urihttps://repositorio.unab.cl/xmlui/handle/ria/50379
dc.language.isoenes
dc.publisherMDPIes
dc.rights.licenseAtribución 4.0 Internacional (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.subjectDiffusive modeles
dc.subjectEvolution strategyes
dc.subjectProton-exchange membrane fuel celles
dc.subjectRegression modeles
dc.subjectSupport vector machinees
dc.subjectVoltage–current dynamic responsees
dc.titleApplication of Support Vector Machine to Obtain the Dynamic Model of Proton-Exchange Membrane Fuel Celles
dc.typeArtículoes
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Durango_Application_of_support_vector_machine.pdf
Tamaño:
4.84 MB
Formato:
Adobe Portable Document Format
Descripción:
TEXTO COMPLETO EN INGLES
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar
Colecciones
FIng - Artículos de Revista