Adaptive online parameter estimation algorithm of PEM fuel cells

Trabajo presentado en el 18th European Control Conference (ECC), celebrado en Nápoles (Italia), del 25 al 28 de junio de 2019

Detalles Bibliográficos
Autores: Xing, Yashan, Na, Jing, Costa Castelló, Ramon
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/206474
Acceso en línea:http://hdl.handle.net/10261/206474
Access Level:acceso abierto
Palabra clave:PEM Fuel Cell
Nonlinearly parameterized system
Online parameter estimation
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spelling Adaptive online parameter estimation algorithm of PEM fuel cellsXing, YashanNa, JingCosta Castelló, RamonPEM Fuel CellNonlinearly parameterized systemOnline parameter estimationTrabajo presentado en el 18th European Control Conference (ECC), celebrado en Nápoles (Italia), del 25 al 28 de junio de 2019Since most of fuel cell models are generally nonlinearly parameterized functions, existing modeling techniques rely on the optimization approaches and impose heavy computational costs. In this paper, an adaptive online parameter estimation approach for PEM fuel cells is developed in order to directly estimate unknown parameters. The general framework of this approach is that the electrochemical model is first reformulated using Taylor series expansion. Then, one recently proposed adaptive parameter estimation method is further tailored to estimate the unknown parameters. In this method, the adaptive law is directly driven by the parameter estimation errors without using any predictors or observers. Moreover, parameter estimation errors can be guaranteed to achieve exponential convergence. Besides, the online validation of regressor matrix invertibility are avoided such that computation costs can be effectively reduced. Finally, comparative simulation results demonstrate that the proposed approach can achieve better performance than least square algorithm for estimating unknown parameters of fuel cells.This work was partially funded by the Spanish national project MICAPEM (ref. DPI2015- 69286-C3-2-R, MINECO/FEDER) and the Spanish State Research Agency through the María de Maeztu Seal of Excellence to IRI (MDM-2016-0656). This work was partially supported by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (2017 SGR 482) and Chinese Scholarship Council (CSC) under grant (201808390007). This work has been done with the partial support of ACCIO (Operational Program FEDER Catalunya 2014-2020) through the ´ REFER project (COMRDI15-1-0036-11)Institute of Electrical and Electronics EngineersMinisterio de Economía y Competitividad (España)European CommissionAgencia Estatal de Investigación (España)Generalitat de CatalunyaChina Scholarship CouncilConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020192020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/206474reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2015-69286-C3-2-Rinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MDM-2016-0656http://dx.doi.org/10.23919/ECC.2019.8795875Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2064742026-05-22T06:33:51Z
dc.title.none.fl_str_mv Adaptive online parameter estimation algorithm of PEM fuel cells
title Adaptive online parameter estimation algorithm of PEM fuel cells
spellingShingle Adaptive online parameter estimation algorithm of PEM fuel cells
Xing, Yashan
PEM Fuel Cell
Nonlinearly parameterized system
Online parameter estimation
title_short Adaptive online parameter estimation algorithm of PEM fuel cells
title_full Adaptive online parameter estimation algorithm of PEM fuel cells
title_fullStr Adaptive online parameter estimation algorithm of PEM fuel cells
title_full_unstemmed Adaptive online parameter estimation algorithm of PEM fuel cells
title_sort Adaptive online parameter estimation algorithm of PEM fuel cells
dc.creator.none.fl_str_mv Xing, Yashan
Na, Jing
Costa Castelló, Ramon
author Xing, Yashan
author_facet Xing, Yashan
Na, Jing
Costa Castelló, Ramon
author_role author
author2 Na, Jing
Costa Castelló, Ramon
author2_role author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
European Commission
Agencia Estatal de Investigación (España)
Generalitat de Catalunya
China Scholarship Council
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv PEM Fuel Cell
Nonlinearly parameterized system
Online parameter estimation
topic PEM Fuel Cell
Nonlinearly parameterized system
Online parameter estimation
description Trabajo presentado en el 18th European Control Conference (ECC), celebrado en Nápoles (Italia), del 25 al 28 de junio de 2019
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/206474
url http://hdl.handle.net/10261/206474
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2015-69286-C3-2-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MDM-2016-0656
http://dx.doi.org/10.23919/ECC.2019.8795875
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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