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Model predictive control of an on-board fast battery charger for electric mobility applications

Bibliographic Details
Main Author: Pedrosa, Delfim Duarte Rolo
Publication Date: 2017
Other Authors: Gomes, Ricardo, Monteiro, Vítor Duarte Fernandes, Fernandes, Aparício, Monteiro, João L., Afonso, João L.
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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spelling 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 reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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