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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. (undefined) info:eu-repo/semantics/publishedVersion
 
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. (undefined) info:eu-repo/semantics/publishedVersion
 
Document type: Part of book or chapter of book
 
 
== Full document ==
 
<pdf>Media:Draft_Content_574349314-beopen244-7500-document.pdf</pdf>
 
  
  
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* [http://repositorium.sdum.uminho.pt/bitstream/1822/48149/1/CONTROLO_2016_MPC_EV_fast.pdf http://repositorium.sdum.uminho.pt/bitstream/1822/48149/1/CONTROLO_2016_MPC_EV_fast.pdf]
 
* [http://repositorium.sdum.uminho.pt/bitstream/1822/48149/1/CONTROLO_2016_MPC_EV_fast.pdf http://repositorium.sdum.uminho.pt/bitstream/1822/48149/1/CONTROLO_2016_MPC_EV_fast.pdf]
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* [http://link.springer.com/content/pdf/10.1007/978-3-319-43671-5_57 http://link.springer.com/content/pdf/10.1007/978-3-319-43671-5_57],
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: [http://dx.doi.org/10.1007/978-3-319-43671-5_57 http://dx.doi.org/10.1007/978-3-319-43671-5_57] under the license http://www.springer.com/tdm
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* [https://link.springer.com/chapter/10.1007/978-3-319-43671-5_57 https://link.springer.com/chapter/10.1007/978-3-319-43671-5_57],
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: [https://repositorium.sdum.uminho.pt/bitstream/1822/48149/1/CONTROLO_2016_MPC_EV_fast.pdf https://repositorium.sdum.uminho.pt/bitstream/1822/48149/1/CONTROLO_2016_MPC_EV_fast.pdf],
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: [https://www.scipedia.com/public/Pedrosa_et_al_2016a https://www.scipedia.com/public/Pedrosa_et_al_2016a],
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: [http://repositorium.sdum.uminho.pt/handle/1822/48149 http://repositorium.sdum.uminho.pt/handle/1822/48149],
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: [https://rd.springer.com/chapter/10.1007/978-3-319-43671-5_57 https://rd.springer.com/chapter/10.1007/978-3-319-43671-5_57],
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: [https://academic.microsoft.com/#/detail/2507668390 https://academic.microsoft.com/#/detail/2507668390]

Latest revision as of 16:21, 21 January 2021

Abstract

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. (undefined) info:eu-repo/semantics/publishedVersion


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-319-43671-5_57 under the license http://www.springer.com/tdm
https://repositorium.sdum.uminho.pt/bitstream/1822/48149/1/CONTROLO_2016_MPC_EV_fast.pdf,
https://www.scipedia.com/public/Pedrosa_et_al_2016a,
http://repositorium.sdum.uminho.pt/handle/1822/48149,
https://rd.springer.com/chapter/10.1007/978-3-319-43671-5_57,
https://academic.microsoft.com/#/detail/2507668390
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Document information

Published on 01/01/2016

Volume 2016, 2016
DOI: 10.1007/978-3-319-43671-5_57
Licence: CC BY-NC-SA license

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