Robust polynomial approach for state of charge estimation in NiMH batteries
- Autores
- Milocco, Ruben Horacio; Thomas, Jorge Enrique; Castro, B. E.
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this work we estimate the state of charge (SOC) of NiMH rechargeable batteries using a robust optimal filter based on a simplified electrochemical model. The robust filter guarantees that the supremum of the error variance - difference between real and estimated SOC - with respect to all admissible uncertainties be minimum. The results are compared with those obtained using the linear Kalman filter. We conclude that both estimations have similar performance, although the robust filter is easier to tune. Experimental results with commercial batteries are provided to illustrate the estimation procedure and it performance.
Fil: Milocco, Ruben Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Universidad Nacional del Comahue. Facultad de Ingeniería. Departamento de Electrotécnica; Argentina
Fil: Thomas, Jorge Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina
Fil: Castro, B. E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina - Materia
-
Kalman Filtering
Metal Hydride Battery
Robust Filtering
State of Charge
Wiener Model - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/81034
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Robust polynomial approach for state of charge estimation in NiMH batteriesMilocco, Ruben HoracioThomas, Jorge EnriqueCastro, B. E.Kalman FilteringMetal Hydride BatteryRobust FilteringState of ChargeWiener Modelhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In this work we estimate the state of charge (SOC) of NiMH rechargeable batteries using a robust optimal filter based on a simplified electrochemical model. The robust filter guarantees that the supremum of the error variance - difference between real and estimated SOC - with respect to all admissible uncertainties be minimum. The results are compared with those obtained using the linear Kalman filter. We conclude that both estimations have similar performance, although the robust filter is easier to tune. Experimental results with commercial batteries are provided to illustrate the estimation procedure and it performance.Fil: Milocco, Ruben Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Universidad Nacional del Comahue. Facultad de Ingeniería. Departamento de Electrotécnica; ArgentinaFil: Thomas, Jorge Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; ArgentinaFil: Castro, B. E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; ArgentinaPergamon-Elsevier Science Ltd2012-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/81034Milocco, Ruben Horacio; Thomas, Jorge Enrique; Castro, B. E.; Robust polynomial approach for state of charge estimation in NiMH batteries; Pergamon-Elsevier Science Ltd; International Journal of Hydrogen Energy; 37; 13; 7-2012; 10371-103750360-3199CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0360319912003096info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhydene.2012.01.164info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:58:07Zoai:ri.conicet.gov.ar:11336/81034instacron: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 09:58:07.321CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Robust polynomial approach for state of charge estimation in NiMH batteries |
title |
Robust polynomial approach for state of charge estimation in NiMH batteries |
spellingShingle |
Robust polynomial approach for state of charge estimation in NiMH batteries Milocco, Ruben Horacio Kalman Filtering Metal Hydride Battery Robust Filtering State of Charge Wiener Model |
title_short |
Robust polynomial approach for state of charge estimation in NiMH batteries |
title_full |
Robust polynomial approach for state of charge estimation in NiMH batteries |
title_fullStr |
Robust polynomial approach for state of charge estimation in NiMH batteries |
title_full_unstemmed |
Robust polynomial approach for state of charge estimation in NiMH batteries |
title_sort |
Robust polynomial approach for state of charge estimation in NiMH batteries |
dc.creator.none.fl_str_mv |
Milocco, Ruben Horacio Thomas, Jorge Enrique Castro, B. E. |
author |
Milocco, Ruben Horacio |
author_facet |
Milocco, Ruben Horacio Thomas, Jorge Enrique Castro, B. E. |
author_role |
author |
author2 |
Thomas, Jorge Enrique Castro, B. E. |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Kalman Filtering Metal Hydride Battery Robust Filtering State of Charge Wiener Model |
topic |
Kalman Filtering Metal Hydride Battery Robust Filtering State of Charge Wiener Model |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
In this work we estimate the state of charge (SOC) of NiMH rechargeable batteries using a robust optimal filter based on a simplified electrochemical model. The robust filter guarantees that the supremum of the error variance - difference between real and estimated SOC - with respect to all admissible uncertainties be minimum. The results are compared with those obtained using the linear Kalman filter. We conclude that both estimations have similar performance, although the robust filter is easier to tune. Experimental results with commercial batteries are provided to illustrate the estimation procedure and it performance. Fil: Milocco, Ruben Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Universidad Nacional del Comahue. Facultad de Ingeniería. Departamento de Electrotécnica; Argentina Fil: Thomas, Jorge Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina Fil: Castro, B. E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina |
description |
In this work we estimate the state of charge (SOC) of NiMH rechargeable batteries using a robust optimal filter based on a simplified electrochemical model. The robust filter guarantees that the supremum of the error variance - difference between real and estimated SOC - with respect to all admissible uncertainties be minimum. The results are compared with those obtained using the linear Kalman filter. We conclude that both estimations have similar performance, although the robust filter is easier to tune. Experimental results with commercial batteries are provided to illustrate the estimation procedure and it performance. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-07 |
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/11336/81034 Milocco, Ruben Horacio; Thomas, Jorge Enrique; Castro, B. E.; Robust polynomial approach for state of charge estimation in NiMH batteries; Pergamon-Elsevier Science Ltd; International Journal of Hydrogen Energy; 37; 13; 7-2012; 10371-10375 0360-3199 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/81034 |
identifier_str_mv |
Milocco, Ruben Horacio; Thomas, Jorge Enrique; Castro, B. E.; Robust polynomial approach for state of charge estimation in NiMH batteries; Pergamon-Elsevier Science Ltd; International Journal of Hydrogen Energy; 37; 13; 7-2012; 10371-10375 0360-3199 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0360319912003096 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhydene.2012.01.164 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
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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1842269501672914944 |
score |
13.13397 |