Estimating the charging profile of individual charge sessions of electric vehicles in the Netherlands

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 until a full battery of the EVs based on realworld data needs to be analyzed. Many researchers currently 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 c... Mehr ...

Verfasser: mies, Jerome
Helmus, Jurjen
van den Hoed, Robert
Dokumenttyp: conferenceObject
Erscheinungsdatum: 2017
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29176985
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://research.hva.nl/en/publications/def16713-7fd1-457e-a4b6-326f6397e686

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 until a full battery of the EVs based on realworld data needs to be analyzed. Many researchers currently 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, enabling optimization analysis of EV smart charging schemes.