Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification

Autores
Gandolfo, Daniel; Brandao, Alexandre; Patiño, Héctor Daniel; Molina, Marcelo Gustavo
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Maximum battery runtime and its transients behaviors are crucial in many applications. With accurate battery models in hand, circuit designers can evaluate the performance of its developments considering the influence of a finite source of energy which has a particular dynamics; as well as the energy storage systems can be optimized. First, this work describes a complete dynamic model of a lithium polymer battery. In the sequel a simple and novel procedure is used to obtain the electric parameters of adopted model with the advantage of using only one resistor to represent the battery load and a pc-connected multimeter. The methodology used to identify the parameters of the battery model is simple, clearly explained and can be applied to various types of batteries. Simulation and experimental results are presented and discussed, demonstrating the good performance of the proposed identification methodology.
Fil: Gandolfo, Daniel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Brandao, Alexandre. Universidade Federal de Viçosa; Brasil
Fil: Patiño, Héctor Daniel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Molina, Marcelo Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Materia
BATTERY MODEL
STATE OF CHARGE (SOC)
LITHIUM POLYMER BATTERY
ELECTRICAL PARAMETERS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/155601
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Dynamic model of lithium polymer battery: Load resistor method for electric parameters identificationGandolfo, DanielBrandao, AlexandrePatiño, Héctor DanielMolina, Marcelo GustavoBATTERY MODELSTATE OF CHARGE (SOC)LITHIUM POLYMER BATTERYELECTRICAL PARAMETERShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Maximum battery runtime and its transients behaviors are crucial in many applications. With accurate battery models in hand, circuit designers can evaluate the performance of its developments considering the influence of a finite source of energy which has a particular dynamics; as well as the energy storage systems can be optimized. First, this work describes a complete dynamic model of a lithium polymer battery. In the sequel a simple and novel procedure is used to obtain the electric parameters of adopted model with the advantage of using only one resistor to represent the battery load and a pc-connected multimeter. The methodology used to identify the parameters of the battery model is simple, clearly explained and can be applied to various types of batteries. Simulation and experimental results are presented and discussed, demonstrating the good performance of the proposed identification methodology.Fil: Gandolfo, Daniel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Brandao, Alexandre. Universidade Federal de Viçosa; BrasilFil: Patiño, Héctor Daniel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Molina, Marcelo Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaManey Publishing2015-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/155601Gandolfo, Daniel; Brandao, Alexandre; Patiño, Héctor Daniel; Molina, Marcelo Gustavo; Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification; Maney Publishing; Journal Of The Energy Institute; 88; 11; 11-2015; 470-4791743-9671CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1743967114202492info:eu-repo/semantics/altIdentifier/doi/10.1016/j.joei.2014.10.004info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:56:15Zoai:ri.conicet.gov.ar:11336/155601instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:56:16.111CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification
title Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification
spellingShingle Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification
Gandolfo, Daniel
BATTERY MODEL
STATE OF CHARGE (SOC)
LITHIUM POLYMER BATTERY
ELECTRICAL PARAMETERS
title_short Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification
title_full Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification
title_fullStr Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification
title_full_unstemmed Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification
title_sort Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification
dc.creator.none.fl_str_mv Gandolfo, Daniel
Brandao, Alexandre
Patiño, Héctor Daniel
Molina, Marcelo Gustavo
author Gandolfo, Daniel
author_facet Gandolfo, Daniel
Brandao, Alexandre
Patiño, Héctor Daniel
Molina, Marcelo Gustavo
author_role author
author2 Brandao, Alexandre
Patiño, Héctor Daniel
Molina, Marcelo Gustavo
author2_role author
author
author
dc.subject.none.fl_str_mv BATTERY MODEL
STATE OF CHARGE (SOC)
LITHIUM POLYMER BATTERY
ELECTRICAL PARAMETERS
topic BATTERY MODEL
STATE OF CHARGE (SOC)
LITHIUM POLYMER BATTERY
ELECTRICAL PARAMETERS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Maximum battery runtime and its transients behaviors are crucial in many applications. With accurate battery models in hand, circuit designers can evaluate the performance of its developments considering the influence of a finite source of energy which has a particular dynamics; as well as the energy storage systems can be optimized. First, this work describes a complete dynamic model of a lithium polymer battery. In the sequel a simple and novel procedure is used to obtain the electric parameters of adopted model with the advantage of using only one resistor to represent the battery load and a pc-connected multimeter. The methodology used to identify the parameters of the battery model is simple, clearly explained and can be applied to various types of batteries. Simulation and experimental results are presented and discussed, demonstrating the good performance of the proposed identification methodology.
Fil: Gandolfo, Daniel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Brandao, Alexandre. Universidade Federal de Viçosa; Brasil
Fil: Patiño, Héctor Daniel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Molina, Marcelo Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
description Maximum battery runtime and its transients behaviors are crucial in many applications. With accurate battery models in hand, circuit designers can evaluate the performance of its developments considering the influence of a finite source of energy which has a particular dynamics; as well as the energy storage systems can be optimized. First, this work describes a complete dynamic model of a lithium polymer battery. In the sequel a simple and novel procedure is used to obtain the electric parameters of adopted model with the advantage of using only one resistor to represent the battery load and a pc-connected multimeter. The methodology used to identify the parameters of the battery model is simple, clearly explained and can be applied to various types of batteries. Simulation and experimental results are presented and discussed, demonstrating the good performance of the proposed identification methodology.
publishDate 2015
dc.date.none.fl_str_mv 2015-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/155601
Gandolfo, Daniel; Brandao, Alexandre; Patiño, Héctor Daniel; Molina, Marcelo Gustavo; Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification; Maney Publishing; Journal Of The Energy Institute; 88; 11; 11-2015; 470-479
1743-9671
CONICET Digital
CONICET
url http://hdl.handle.net/11336/155601
identifier_str_mv Gandolfo, Daniel; Brandao, Alexandre; Patiño, Héctor Daniel; Molina, Marcelo Gustavo; Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification; Maney Publishing; Journal Of The Energy Institute; 88; 11; 11-2015; 470-479
1743-9671
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1743967114202492
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.joei.2014.10.004
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Maney Publishing
publisher.none.fl_str_mv Maney Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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