Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/48147

TitleModel predictive current control of a slow battery charger for electric mobility applications
Author(s)Pedrosa, Delfim Duarte Rolo
Gomes, Ricardo
Monteiro, Vítor Duarte Fernandes
Afonso, José A.
Afonso, João L.
KeywordsElectric vehicles
Slow battery charger
Model predictive current control
G2V - Grid-to-Vehicle
V2G - Vehicle-to-Grid
Issue date2017
PublisherSpringer Verlag
JournalLecture Notes in Electrical Engineering
Abstract(s)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.
TypeConference paper
URIhttps://hdl.handle.net/1822/48147
ISBN978-3-319-43670-8
DOI10.1007/978-3-319-43671-5_54
ISSN1876-1100
e-ISSN978-3-319-43671-5
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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