Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles

Autores
Aguilera, Facundo; de la Barrera, Pablo Martin; de Angelo, Cristian Hernan
Año de publicación
2013
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Different induction machine (IM) models are evaluated, with the aim to determine its usefulness in efficiency studies for electric vehicles (EV) traction drives. In particular, two simple IM models proposed in the literature, which take into account the additional losses, are compared. With this aim, model parameters are adjusted from experimental tests performed on a 4 kW IM. Then, results obtained from both models at different operating points are compared. Even when the estimation errors are similar when using both models, one of them is chosen because of its simplicity. Finally, a simple application of this model is proposed, which consists in use the model for obtaining a complete efficiency map of the IM, without need further essays. Such efficiency map can be used to evaluate the overall efficiency of the traction drive of an EV, or in EV design.
Fil: Aguilera, Facundo. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de la Barrera, Pablo Martin. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Induction Machine
Models
Losses
Electric Vehicle
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/22778
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Selection of Induction Machine Models for Efficiency Evaluation in Electric VehiclesAguilera, Facundode la Barrera, Pablo Martinde Angelo, Cristian HernanInduction MachineModelsLossesElectric Vehiclehttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Different induction machine (IM) models are evaluated, with the aim to determine its usefulness in efficiency studies for electric vehicles (EV) traction drives. In particular, two simple IM models proposed in the literature, which take into account the additional losses, are compared. With this aim, model parameters are adjusted from experimental tests performed on a 4 kW IM. Then, results obtained from both models at different operating points are compared. Even when the estimation errors are similar when using both models, one of them is chosen because of its simplicity. Finally, a simple application of this model is proposed, which consists in use the model for obtaining a complete efficiency map of the IM, without need further essays. Such efficiency map can be used to evaluate the overall efficiency of the traction drive of an EV, or in EV design.Fil: Aguilera, Facundo. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: de la Barrera, Pablo Martin. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaInstitute of Electrical and Electronics Engineers2013-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22778Aguilera, Facundo; de la Barrera, Pablo Martin; de Angelo, Cristian Hernan; Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles ; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 4-2013; 334-3401548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502826info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6502826/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:23:02Zoai:ri.conicet.gov.ar:11336/22778instacron: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:34982025-09-10 13:23:02.504CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles
title Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles
spellingShingle Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles
Aguilera, Facundo
Induction Machine
Models
Losses
Electric Vehicle
title_short Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles
title_full Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles
title_fullStr Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles
title_full_unstemmed Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles
title_sort Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles
dc.creator.none.fl_str_mv Aguilera, Facundo
de la Barrera, Pablo Martin
de Angelo, Cristian Hernan
author Aguilera, Facundo
author_facet Aguilera, Facundo
de la Barrera, Pablo Martin
de Angelo, Cristian Hernan
author_role author
author2 de la Barrera, Pablo Martin
de Angelo, Cristian Hernan
author2_role author
author
dc.subject.none.fl_str_mv Induction Machine
Models
Losses
Electric Vehicle
topic Induction Machine
Models
Losses
Electric Vehicle
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Different induction machine (IM) models are evaluated, with the aim to determine its usefulness in efficiency studies for electric vehicles (EV) traction drives. In particular, two simple IM models proposed in the literature, which take into account the additional losses, are compared. With this aim, model parameters are adjusted from experimental tests performed on a 4 kW IM. Then, results obtained from both models at different operating points are compared. Even when the estimation errors are similar when using both models, one of them is chosen because of its simplicity. Finally, a simple application of this model is proposed, which consists in use the model for obtaining a complete efficiency map of the IM, without need further essays. Such efficiency map can be used to evaluate the overall efficiency of the traction drive of an EV, or in EV design.
Fil: Aguilera, Facundo. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de la Barrera, Pablo Martin. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Different induction machine (IM) models are evaluated, with the aim to determine its usefulness in efficiency studies for electric vehicles (EV) traction drives. In particular, two simple IM models proposed in the literature, which take into account the additional losses, are compared. With this aim, model parameters are adjusted from experimental tests performed on a 4 kW IM. Then, results obtained from both models at different operating points are compared. Even when the estimation errors are similar when using both models, one of them is chosen because of its simplicity. Finally, a simple application of this model is proposed, which consists in use the model for obtaining a complete efficiency map of the IM, without need further essays. Such efficiency map can be used to evaluate the overall efficiency of the traction drive of an EV, or in EV design.
publishDate 2013
dc.date.none.fl_str_mv 2013-04
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/11336/22778
Aguilera, Facundo; de la Barrera, Pablo Martin; de Angelo, Cristian Hernan; Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles ; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 4-2013; 334-340
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22778
identifier_str_mv Aguilera, Facundo; de la Barrera, Pablo Martin; de Angelo, Cristian Hernan; Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles ; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 4-2013; 334-340
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502826
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6502826/
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
application/pdf
application/pdf
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: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 12.48226

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