Abstract
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.
in the Netherlands, enabling optimization analysis of EV smart charging schemes.
| Original language | English |
|---|---|
| Number of pages | 12 |
| Publication status | Published - 2017 |
| Event | The 30th International Electric Vehicle Symposium & Exhibition - Messe Stuttgart, Stuttgart, Germany Duration: 9 Oct 2017 → 11 Oct 2017 http://www.messe-stuttgart.de/en/evs30/ |
Conference
| Conference | The 30th International Electric Vehicle Symposium & Exhibition |
|---|---|
| Abbreviated title | EVS30 |
| Country/Territory | Germany |
| City | Stuttgart |
| Period | 9/10/17 → 11/10/17 |
| Internet address |