Battery Model Parameters Estimation Using Simulated Annealing

Detalhes bibliográficos
Autor(a) principal: BRONDANI,M.F.
Data de Publicação: 2017
Outros Autores: SAUSEN,A.T.Z.R., SAUSEN,P.S., BINELO,M.O.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512017000100127
Resumo: ABSTRACT In this paper, a Simulated Annealing (SA) algorithm is proposed for the Battery model parametrization, which is used for the mathematical modeling of the Lithium Ion Polymer (LiPo) batteries lifetime. Experimental data obtained by a testbed were used for model parametrization and validation. The proposed SA algorithm is compared to the traditional parametrization methodology that consists in the visual analysis of discharge curves, and from the results obtained, it is possible to see the model efficacy in batteries lifetime prediction, and the proposed SA algorithm efficiency in the parameters estimation.
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spelling Battery Model Parameters Estimation Using Simulated AnnealingBattery modelparameter estimationsimulated annealingABSTRACT In this paper, a Simulated Annealing (SA) algorithm is proposed for the Battery model parametrization, which is used for the mathematical modeling of the Lithium Ion Polymer (LiPo) batteries lifetime. Experimental data obtained by a testbed were used for model parametrization and validation. The proposed SA algorithm is compared to the traditional parametrization methodology that consists in the visual analysis of discharge curves, and from the results obtained, it is possible to see the model efficacy in batteries lifetime prediction, and the proposed SA algorithm efficiency in the parameters estimation.Sociedade Brasileira de Matemática Aplicada e Computacional2017-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512017000100127TEMA (São Carlos) v.18 n.1 2017reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)instname:Sociedade Brasileira de Matemática Aplicada e Computacionalinstacron:SBMAC10.5540/tema.2017.018.01.0127info:eu-repo/semantics/openAccessBRONDANI,M.F.SAUSEN,A.T.Z.R.SAUSEN,P.S.BINELO,M.O.eng2017-06-12T00:00:00Zoai:scielo:S2179-84512017000100127Revistahttp://www.scielo.br/temaPUBhttps://old.scielo.br/oai/scielo-oai.phpcastelo@icmc.usp.br2179-84511677-1966opendoar:2017-06-12T00:00TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacionalfalse
dc.title.none.fl_str_mv Battery Model Parameters Estimation Using Simulated Annealing
title Battery Model Parameters Estimation Using Simulated Annealing
spellingShingle Battery Model Parameters Estimation Using Simulated Annealing
BRONDANI,M.F.
Battery model
parameter estimation
simulated annealing
title_short Battery Model Parameters Estimation Using Simulated Annealing
title_full Battery Model Parameters Estimation Using Simulated Annealing
title_fullStr Battery Model Parameters Estimation Using Simulated Annealing
title_full_unstemmed Battery Model Parameters Estimation Using Simulated Annealing
title_sort Battery Model Parameters Estimation Using Simulated Annealing
author BRONDANI,M.F.
author_facet BRONDANI,M.F.
SAUSEN,A.T.Z.R.
SAUSEN,P.S.
BINELO,M.O.
author_role author
author2 SAUSEN,A.T.Z.R.
SAUSEN,P.S.
BINELO,M.O.
author2_role author
author
author
dc.contributor.author.fl_str_mv BRONDANI,M.F.
SAUSEN,A.T.Z.R.
SAUSEN,P.S.
BINELO,M.O.
dc.subject.por.fl_str_mv Battery model
parameter estimation
simulated annealing
topic Battery model
parameter estimation
simulated annealing
description ABSTRACT In this paper, a Simulated Annealing (SA) algorithm is proposed for the Battery model parametrization, which is used for the mathematical modeling of the Lithium Ion Polymer (LiPo) batteries lifetime. Experimental data obtained by a testbed were used for model parametrization and validation. The proposed SA algorithm is compared to the traditional parametrization methodology that consists in the visual analysis of discharge curves, and from the results obtained, it is possible to see the model efficacy in batteries lifetime prediction, and the proposed SA algorithm efficiency in the parameters estimation.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512017000100127
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512017000100127
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5540/tema.2017.018.01.0127
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.source.none.fl_str_mv TEMA (São Carlos) v.18 n.1 2017
reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
instname:Sociedade Brasileira de Matemática Aplicada e Computacional
instacron:SBMAC
instname_str Sociedade Brasileira de Matemática Aplicada e Computacional
instacron_str SBMAC
institution SBMAC
reponame_str TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
collection TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
repository.name.fl_str_mv TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional
repository.mail.fl_str_mv castelo@icmc.usp.br
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