m (Scipediacontent moved page Draft Content 407887197 to Pedrosa et al 2016b)
 
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This paper presents a model predictive current control applied to a slow electric vehicle (EV) battery charger. Taking into account the similarities between the power converters inside the EV, it is possible to combine the battery charger and the motor driver in a single integrated converter, thus reducing the weight and volume of the proposed solution, and also contributing to reduce the final price of the EV. Due to the bidirectional power flow capability of the integrated power converter, when working as a slow EV battery charger it can operate in grid-to-vehicle (G2V) mode and in vehicle-to-grid (V2G) mode, contributing to make EVs an important assets in the future smart grids. The integrated power converter working as battery charger operates with sinusoidal current and unitary power factor, contributing to improve the power quality of the electrical grid. This paper provides simulation and experimental results that validate the model predictive control algorithm applied to the proposed integrated power converter working as slow EV battery charger. (undefined) info:eu-repo/semantics/publishedVersion
 
This paper presents a model predictive current control applied to a slow electric vehicle (EV) battery charger. Taking into account the similarities between the power converters inside the EV, it is possible to combine the battery charger and the motor driver in a single integrated converter, thus reducing the weight and volume of the proposed solution, and also contributing to reduce the final price of the EV. Due to the bidirectional power flow capability of the integrated power converter, when working as a slow EV battery charger it can operate in grid-to-vehicle (G2V) mode and in vehicle-to-grid (V2G) mode, contributing to make EVs an important assets in the future smart grids. The integrated power converter working as battery charger operates with sinusoidal current and unitary power factor, contributing to improve the power quality of the electrical grid. This paper provides simulation and experimental results that validate the model predictive control algorithm applied to the proposed integrated power converter working as slow EV battery charger. (undefined) info:eu-repo/semantics/publishedVersion
 
Document type: Part of book or chapter of book
 
 
== Full document ==
 
<pdf>Media:Draft_Content_407887197-beopen277-3696-document.pdf</pdf>
 
  
  
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* [http://repositorium.sdum.uminho.pt/bitstream/1822/48147/1/CONTROLO_2016_MPC_EV_slow.pdf http://repositorium.sdum.uminho.pt/bitstream/1822/48147/1/CONTROLO_2016_MPC_EV_slow.pdf]
 
* [http://repositorium.sdum.uminho.pt/bitstream/1822/48147/1/CONTROLO_2016_MPC_EV_slow.pdf http://repositorium.sdum.uminho.pt/bitstream/1822/48147/1/CONTROLO_2016_MPC_EV_slow.pdf]
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* [http://link.springer.com/content/pdf/10.1007/978-3-319-43671-5_54 http://link.springer.com/content/pdf/10.1007/978-3-319-43671-5_54],
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: [http://dx.doi.org/10.1007/978-3-319-43671-5_54 http://dx.doi.org/10.1007/978-3-319-43671-5_54] under the license http://www.springer.com/tdm
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* [https://link.springer.com/chapter/10.1007/978-3-319-43671-5_54 https://link.springer.com/chapter/10.1007/978-3-319-43671-5_54],
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: [https://repositorium.sdum.uminho.pt/bitstream/1822/48147/1/CONTROLO_2016_MPC_EV_slow.pdf https://repositorium.sdum.uminho.pt/bitstream/1822/48147/1/CONTROLO_2016_MPC_EV_slow.pdf],
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: [https://www.scipedia.com/public/Pedrosa_et_al_2016b https://www.scipedia.com/public/Pedrosa_et_al_2016b],
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: [http://repositorium.sdum.uminho.pt/handle/1822/48147 http://repositorium.sdum.uminho.pt/handle/1822/48147],
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: [https://academic.microsoft.com/#/detail/2515566835 https://academic.microsoft.com/#/detail/2515566835]

Latest revision as of 13:32, 21 January 2021

Abstract

This paper presents a model predictive current control applied to a slow electric vehicle (EV) battery charger. Taking into account the similarities between the power converters inside the EV, it is possible to combine the battery charger and the motor driver in a single integrated converter, thus reducing the weight and volume of the proposed solution, and also contributing to reduce the final price of the EV. Due to the bidirectional power flow capability of the integrated power converter, when working as a slow EV battery charger it can operate in grid-to-vehicle (G2V) mode and in vehicle-to-grid (V2G) mode, contributing to make EVs an important assets in the future smart grids. The integrated power converter working as battery charger operates with sinusoidal current and unitary power factor, contributing to improve the power quality of the electrical grid. This paper provides simulation and experimental results that validate the model predictive control algorithm applied to the proposed integrated power converter working as slow EV battery charger. (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_54 under the license http://www.springer.com/tdm
https://repositorium.sdum.uminho.pt/bitstream/1822/48147/1/CONTROLO_2016_MPC_EV_slow.pdf,
https://www.scipedia.com/public/Pedrosa_et_al_2016b,
http://repositorium.sdum.uminho.pt/handle/1822/48147,
https://academic.microsoft.com/#/detail/2515566835
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Document information

Published on 01/01/2016

Volume 2016, 2016
DOI: 10.1007/978-3-319-43671-5_54
Licence: CC BY-NC-SA license

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