Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validation

Electrochemical Impedance Spectroscopy (EIS) is a very powerful tool to study the behaviour of electrochemical systems. At present, it is widely used in the fuel cell field in order to study challenging cutting edge issues as membrane drying or gas diffusion layer flooding amongst others. The proper...

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Autores: Giner-Sanz, Juan José|||0000-0003-0441-6102, Ortega Navarro, Emma María|||0000-0001-6902-018X, Pérez-Herranz, Valentín|||0000-0002-4010-0888
Formato: artículo
Fecha de publicación:2015
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/65899
Acesso em linha:https://riunet.upv.es/handle/10251/65899
Access Level:acceso abierto
Palavra-chave:Electrochemical impedance spectroscopy
Kramers-Kronig
Validation
Montecarlo algorithm
PEMFC
INGENIERIA QUIMICA
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repository_id_str
spelling Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validationGiner-Sanz, Juan José|||0000-0003-0441-6102Ortega Navarro, Emma María|||0000-0001-6902-018XPérez-Herranz, Valentín|||0000-0002-4010-0888Electrochemical impedance spectroscopyKramers-KronigValidationMontecarlo algorithmPEMFCINGENIERIA QUIMICAElectrochemical Impedance Spectroscopy (EIS) is a very powerful tool to study the behaviour of electrochemical systems. At present, it is widely used in the fuel cell field in order to study challenging cutting edge issues as membrane drying or gas diffusion layer flooding amongst others. The proper analysis of impedance data requires the fulfilment of four fundamental conditions: causality, linearity, stability and finiteness. The non compliance with any of these conditions may lead to biased, or even misguided, conclusions. Therefore it is critical to verify the compliance of these conditions before accepting any analysis performed on an experimental spectrum. This is even more important in a fuel cell experimental spectrum analysis, since fuel cells are markedly non stationary systems. The aim of this work is to establish an impedance spectrum quantitative validation technique to validate the whole experimental spectrum and to identify the individual points within a spectrum that do not comply any of the four conditions, in order to remove these inconsistent points from the analysis. The designed validation method consists in a Kramers Kronig (KK) validation test, by equivalent electrical circuit fitting, coupled with a Montecarlo error propagation method. In a first step, the experimental spectrum is fitted to a particular electrical equivalent circuit, which satisfies the KK relations. Then, in a second step, a statistical Montecarlo method is used in order to propagate the model fitting parameter uncertainty through the model. Using this approach, a consistency region is built for a given confidence level: the experimental points inside this region are considered consistent for the given confidence level, whereas the outside points are rejected. The method was used on PEMFC experimental impedance spectra; and it successfully managed to identify inconsistent points, associated to no stationarities.The authors are very grateful to the Generalitat Valenciana for its economic support in form of Vali+d grant (Ref: ACIF-2013-268).ElsevierDepartamento de Ingeniería Química y NuclearEscuela Técnica Superior de Ingeniería IndustrialInstituto Universitario de Seguridad Industrial, Radiofísica y MedioambientalGeneralitat ValencianaRepositorio Institucional de la Universitat Politècnica de València Riunet20152015-09-14journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/65899reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengGeneralitat Valenciana https://doi.org/10.13039/501100003359 ACIF%2F2013%2F268open accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/658992026-06-13T07:49:27Z
dc.title.none.fl_str_mv Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validation
title Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validation
spellingShingle Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validation
Giner-Sanz, Juan José|||0000-0003-0441-6102
Electrochemical impedance spectroscopy
Kramers-Kronig
Validation
Montecarlo algorithm
PEMFC
INGENIERIA QUIMICA
title_short Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validation
title_full Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validation
title_fullStr Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validation
title_full_unstemmed Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validation
title_sort Montecarlo based quantitative Kramers-Kronig test for PEMFC impedance spectrum validation
dc.creator.none.fl_str_mv Giner-Sanz, Juan José|||0000-0003-0441-6102
Ortega Navarro, Emma María|||0000-0001-6902-018X
Pérez-Herranz, Valentín|||0000-0002-4010-0888
author Giner-Sanz, Juan José|||0000-0003-0441-6102
author_facet Giner-Sanz, Juan José|||0000-0003-0441-6102
Ortega Navarro, Emma María|||0000-0001-6902-018X
Pérez-Herranz, Valentín|||0000-0002-4010-0888
author_role author
author2 Ortega Navarro, Emma María|||0000-0001-6902-018X
Pérez-Herranz, Valentín|||0000-0002-4010-0888
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Química y Nuclear
Escuela Técnica Superior de Ingeniería Industrial
Instituto Universitario de Seguridad Industrial, Radiofísica y Medioambiental
Generalitat Valenciana
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Electrochemical impedance spectroscopy
Kramers-Kronig
Validation
Montecarlo algorithm
PEMFC
INGENIERIA QUIMICA
topic Electrochemical impedance spectroscopy
Kramers-Kronig
Validation
Montecarlo algorithm
PEMFC
INGENIERIA QUIMICA
description Electrochemical Impedance Spectroscopy (EIS) is a very powerful tool to study the behaviour of electrochemical systems. At present, it is widely used in the fuel cell field in order to study challenging cutting edge issues as membrane drying or gas diffusion layer flooding amongst others. The proper analysis of impedance data requires the fulfilment of four fundamental conditions: causality, linearity, stability and finiteness. The non compliance with any of these conditions may lead to biased, or even misguided, conclusions. Therefore it is critical to verify the compliance of these conditions before accepting any analysis performed on an experimental spectrum. This is even more important in a fuel cell experimental spectrum analysis, since fuel cells are markedly non stationary systems. The aim of this work is to establish an impedance spectrum quantitative validation technique to validate the whole experimental spectrum and to identify the individual points within a spectrum that do not comply any of the four conditions, in order to remove these inconsistent points from the analysis. The designed validation method consists in a Kramers Kronig (KK) validation test, by equivalent electrical circuit fitting, coupled with a Montecarlo error propagation method. In a first step, the experimental spectrum is fitted to a particular electrical equivalent circuit, which satisfies the KK relations. Then, in a second step, a statistical Montecarlo method is used in order to propagate the model fitting parameter uncertainty through the model. Using this approach, a consistency region is built for a given confidence level: the experimental points inside this region are considered consistent for the given confidence level, whereas the outside points are rejected. The method was used on PEMFC experimental impedance spectra; and it successfully managed to identify inconsistent points, associated to no stationarities.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-09-14
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/65899
url https://riunet.upv.es/handle/10251/65899
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Generalitat Valenciana https://doi.org/10.13039/501100003359 ACIF%2F2013%2F268
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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