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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
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Vehicle Characterization for Smart Charging and V2G strategies

TECNALIA, Edificio 700, Parque Tecnológico, Derio, E48160, Spain
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World Electr. Veh. J. 2010, 4(4), 733-743; https://doi.org/10.3390/wevj4040733
Published: 31 December 2010
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Abstract

TECNALIA has become a key active player in technology development for electric vehicles (EVs), in the fields of materials, mechanics, power electronics and smartgrids. In order to contribute to the development of the technologies dealing with the new paradigm that integrates EV within the grid, where large EV fleets are connected to the grid and can even take part in the electricity markets, TECNALIA has deepen into the definition of the information needed in order to define the charging sequence of EVs. This paper explains the characterization of those elements, related to the vehicle and the user, which could influence on the definition of the optimal charging sequence of EVs. Modelling the behaviour of the vehicle charging system leads to the possibility of establishing charging sequences that minimize the energy spent per charging cycle. This information has been included in a communication protocol developed by TECNALIA and implemented in the EV-ON platform, which purpose is the development of smart charging and Vehicle to Grid (V2G) algorithms.
Keywords: Smart charging; Vehicle to grid; State of Charge estimation; Charging system characterization Smart charging; Vehicle to grid; State of Charge estimation; Charging system characterization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Zabala, E.; Rubio, A.; Fernandez, M.; Alzola, J.Á. Vehicle Characterization for Smart Charging and V2G strategies. World Electr. Veh. J. 2010, 4, 733-743.

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