Centre of Expertise Applied Artificial Intelligence

Estimating the charging profile of individual charge sessions of Electric Vehicles in the Netherlands

Article

The mass adoption of Electric Vehicles (EVs) might raise pressure on the power system, especially during peak hours. Therefore, there is a need for delayed charging. However, to optimize the charging system, the progression of charging from an empty battery to a full battery of the EVs, based on real-world data, needs to be analyzed. Currently, many researchers view this charging profile as a static load and ignore the actual charging behavior during the charging session. However, this study investigates how different factors influence the charging profile of individual EVs based on real-world data of charging sessions in The Netherlands, and thereby enable optimization analysis of EV smart charging schemes.

Referentie Mies, J. J., Helmus, J. R., & van den Hoed, R. (2018). Estimating the charging profile of individual charge sessions of Electric Vehicles in the Netherlands. World Electric Vehicle Journal, 9(2). https://doi.org/10.3390/wevj9020017
Gepubliceerd door  IDO-Laad 22 juni 2018

Publicatiedatum

jun 2018

Auteur(s)

Jerome Jacob Mies
Robert van den Hoed

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