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Thermal and Electrical Parameter Identification of a Proton Exchange Membrane Fuel Cell Using Genetic Algorithm

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Thermal and Electrical Parameter Identification of a Proton Exchange Membrane Fuel Cell Using Genetic Algorithm

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dc.contributor.author Ariza-Chacón, Helbert Eduardo es_ES
dc.contributor.author Correcher Salvador, Antonio es_ES
dc.contributor.author Sánchez-Diaz, Carlos es_ES
dc.contributor.author Pérez-Navarro, Ángel es_ES
dc.contributor.author García Moreno, Emilio es_ES
dc.date.accessioned 2020-10-06T03:31:26Z
dc.date.available 2020-10-06T03:31:26Z
dc.date.issued 2018-08-13 es_ES
dc.identifier.uri http://hdl.handle.net/10251/151154
dc.description.abstract [EN] Proton Exchange Membrane Fuel Cell (PEMFC) fuel cells is a technology successfully used in the production of energy from hydrogen, allowing the use of hydrogen as an energy vector. It is scalable for stationary and mobile applications. However, the technology demands more research. An important research topic is fault diagnosis and condition monitoring to improve the life and the efficiency and to reduce the operation costs of PEMFC devices. Consequently, there is a need of physical models that allow deep analysis. These models must be accurate enough to represent the PEMFC behavior and to allow the identification of different internal signals of a PEM fuel cell. This work presents a PEM fuel cell model that uses the output temperature in a closed loop, so it can represent the thermal and the electrical behavior. The model is used to represent a Nexa Ballard 1.2 kW fuel cell; therefore, it is necessary to fit the coefficients to represent the real behavior. Five optimization algorithms were tested to fit the model, three of them taken from literature and two proposed in this work. Finally, the model with the identified parameters was validated with real data. es_ES
dc.description.sponsorship This research was funded by COLCIENCIAS (Administrative department of science, technology and innovation of Colombia) scholarship program PDBCEx, COLDOC 586, and the support provided by the Corporacion Universitaria Comfacauca, Popayan-Colombia es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation COLCIENCIAS/COLDOC 586 es_ES
dc.relation.ispartof Energies es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject PEM fuel cell es_ES
dc.subject Identification es_ES
dc.subject Genetic algorithm es_ES
dc.subject Model es_ES
dc.subject LabVIEW es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Thermal and Electrical Parameter Identification of a Proton Exchange Membrane Fuel Cell Using Genetic Algorithm es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/en11082099 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Ingeniería Energética - Institut d'Enginyeria Energètica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Ariza-Chacón, HE.; Correcher Salvador, A.; Sánchez-Diaz, C.; Pérez-Navarro, Á.; García Moreno, E. (2018). Thermal and Electrical Parameter Identification of a Proton Exchange Membrane Fuel Cell Using Genetic Algorithm. Energies. 11(8):1-15. https://doi.org/10.3390/en11082099 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/en11082099 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 8 es_ES
dc.identifier.eissn 1996-1073 es_ES
dc.relation.pasarela S\367326 es_ES
dc.contributor.funder Departamento Administrativo de Ciencia, Tecnología e Innovación, Colombia  es_ES


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