Model predictive control of an on-board fast battery charger for electric mobility applications
Main Author: | |
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Publication Date: | 2017 |
Other Authors: | , , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/1822/48149 |
Summary: | Under the necessities of reducing emissions and air pollution, and also for increasing fuel economy, automotive companies have been developing electric and plug-in hybrid electric vehicles. Since these vehicles are parked when the batteries are being charged, it is possible to use the traction power converter as on-board charger, also allowing to reduce weight, volume and costs of components in the vehicle. In this context, this paper presents a model predictive control algorithm for an on-board fast battery charging that uses the traction power converter of an electric vehicle. Simulation results and system implementation are depicted, and finally, are presented some experimental results obtained with the proposed control system. |
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Model predictive control of an on-board fast battery charger for electric mobility applicationsElectric vehiclesFast battery chargerModel predictive controlG2V - Grid-to-VehicleV2G - Vehicle-to-GridEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaUnder the necessities of reducing emissions and air pollution, and also for increasing fuel economy, automotive companies have been developing electric and plug-in hybrid electric vehicles. Since these vehicles are parked when the batteries are being charged, it is possible to use the traction power converter as on-board charger, also allowing to reduce weight, volume and costs of components in the vehicle. In this context, this paper presents a model predictive control algorithm for an on-board fast battery charging that uses the traction power converter of an electric vehicle. Simulation results and system implementation are depicted, and finally, are presented some experimental results obtained with the proposed control system.(undefined)info:eu-repo/semantics/publishedVersionSpringer VerlagUniversidade do MinhoPedrosa, Delfim Duarte RoloGomes, RicardoMonteiro, Vítor Duarte FernandesFernandes, AparícioMonteiro, João L.Afonso, João L.20172017-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/48149eng978-3-319-43670-81876-1100978-3-319-43671-510.1007/978-3-319-43671-5_57info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T07:37:49Zoai:repositorium.sdum.uminho.pt:1822/48149Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:34:07.367361Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Model predictive control of an on-board fast battery charger for electric mobility applications |
title |
Model predictive control of an on-board fast battery charger for electric mobility applications |
spellingShingle |
Model predictive control of an on-board fast battery charger for electric mobility applications Pedrosa, Delfim Duarte Rolo Electric vehicles Fast battery charger Model predictive control G2V - Grid-to-Vehicle V2G - Vehicle-to-Grid Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
title_short |
Model predictive control of an on-board fast battery charger for electric mobility applications |
title_full |
Model predictive control of an on-board fast battery charger for electric mobility applications |
title_fullStr |
Model predictive control of an on-board fast battery charger for electric mobility applications |
title_full_unstemmed |
Model predictive control of an on-board fast battery charger for electric mobility applications |
title_sort |
Model predictive control of an on-board fast battery charger for electric mobility applications |
author |
Pedrosa, Delfim Duarte Rolo |
author_facet |
Pedrosa, Delfim Duarte Rolo Gomes, Ricardo Monteiro, Vítor Duarte Fernandes Fernandes, Aparício Monteiro, João L. Afonso, João L. |
author_role |
author |
author2 |
Gomes, Ricardo Monteiro, Vítor Duarte Fernandes Fernandes, Aparício Monteiro, João L. Afonso, João L. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Pedrosa, Delfim Duarte Rolo Gomes, Ricardo Monteiro, Vítor Duarte Fernandes Fernandes, Aparício Monteiro, João L. Afonso, João L. |
dc.subject.por.fl_str_mv |
Electric vehicles Fast battery charger Model predictive control G2V - Grid-to-Vehicle V2G - Vehicle-to-Grid Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
topic |
Electric vehicles Fast battery charger Model predictive control G2V - Grid-to-Vehicle V2G - Vehicle-to-Grid Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
description |
Under the necessities of reducing emissions and air pollution, and also for increasing fuel economy, automotive companies have been developing electric and plug-in hybrid electric vehicles. Since these vehicles are parked when the batteries are being charged, it is possible to use the traction power converter as on-board charger, also allowing to reduce weight, volume and costs of components in the vehicle. In this context, this paper presents a model predictive control algorithm for an on-board fast battery charging that uses the traction power converter of an electric vehicle. Simulation results and system implementation are depicted, and finally, are presented some experimental results obtained with the proposed control system. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/48149 |
url |
http://hdl.handle.net/1822/48149 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-3-319-43670-8 1876-1100 978-3-319-43671-5 10.1007/978-3-319-43671-5_57 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer Verlag |
publisher.none.fl_str_mv |
Springer Verlag |
dc.source.none.fl_str_mv |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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