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 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... Mehr ...
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| Dokumenttyp: | Text |
| Erscheinungsdatum: | 2018 |
| Verlag/Hrsg.: |
Multidisciplinary Digital Publishing Institute
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| Schlagwörter: | charging infrastructure / charging profile / Electric Vehicles / smart charging / battery charging load |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-29179630 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://doi.org/10.3390/wevj9020017 |
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.