Jerome Mies, student in the M.Sc. Computational Science program, has presented his work based on his B.Sc. thesis at the Electric Vehicle Symposium in Messe Stuttgart, Germany. In his research he was supervised by Jurjen Helmus. His message: all kinds of factors influence the charging speed of electric vehicles, such as temperature and humidity and time of day:
“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. 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.”
