Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data
The current increase of electric vehicles in Germany requires an adequately developed charging infrastructure. Large numbers of public and semi-public charging stations are necessary to ensure sufficient coverage. To make the installation worthwhile for the mostly private operators as well as public...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/13/6/94 |
| _version_ | 1797481204154368000 |
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| author | Benedict J. Mortimer Christopher Hecht Rafael Goldbeck Dirk Uwe Sauer Rik W. De Doncker |
| author_facet | Benedict J. Mortimer Christopher Hecht Rafael Goldbeck Dirk Uwe Sauer Rik W. De Doncker |
| author_sort | Benedict J. Mortimer |
| collection | DOAJ |
| description | The current increase of electric vehicles in Germany requires an adequately developed charging infrastructure. Large numbers of public and semi-public charging stations are necessary to ensure sufficient coverage. To make the installation worthwhile for the mostly private operators as well as public ones, a sufficient utilization is decisive. An essential factor for the degree of utilization is the placement of a charging station. Therefore, the initial site selection plays a critical role in the planning process. This paper proposes a charging station placement procedure based on real-world data on charging station utilization and places of common interest. In the first step, we correlate utilization rates of existing charging infrastructure with places of common interest such as restaurants, shops, bars and sports facilities. This allows us to estimate the untapped potential of unexploited areas across Germany in a second step. In the last step, we employ the resulting geographical extrapolation to derive two optimized expansion strategies based on the attractiveness of locations for electric vehicle charging. |
| first_indexed | 2024-03-09T22:11:10Z |
| format | Article |
| id | doaj.art-37a9b81ae9334a4883b081e7f299ebb1 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-09T22:11:10Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-37a9b81ae9334a4883b081e7f299ebb12023-11-23T19:30:45ZengMDPI AGWorld Electric Vehicle Journal2032-66532022-05-011369410.3390/wevj13060094Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging DataBenedict J. Mortimer0Christopher Hecht1Rafael Goldbeck2Dirk Uwe Sauer3Rik W. De Doncker4Institute for Power Generation and Storage Systems (PGS), E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, GermanyInstitute for Power Generation and Storage Systems (PGS), E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, GermanyInstitute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, 52066 Aachen, GermanyInstitute for Power Generation and Storage Systems (PGS), E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, GermanyInstitute for Power Generation and Storage Systems (PGS), E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, GermanyThe current increase of electric vehicles in Germany requires an adequately developed charging infrastructure. Large numbers of public and semi-public charging stations are necessary to ensure sufficient coverage. To make the installation worthwhile for the mostly private operators as well as public ones, a sufficient utilization is decisive. An essential factor for the degree of utilization is the placement of a charging station. Therefore, the initial site selection plays a critical role in the planning process. This paper proposes a charging station placement procedure based on real-world data on charging station utilization and places of common interest. In the first step, we correlate utilization rates of existing charging infrastructure with places of common interest such as restaurants, shops, bars and sports facilities. This allows us to estimate the untapped potential of unexploited areas across Germany in a second step. In the last step, we employ the resulting geographical extrapolation to derive two optimized expansion strategies based on the attractiveness of locations for electric vehicle charging.https://www.mdpi.com/2032-6653/13/6/94charging infrastructurecharging station placementreal-world dataelectric vehicle |
| spellingShingle | Benedict J. Mortimer Christopher Hecht Rafael Goldbeck Dirk Uwe Sauer Rik W. De Doncker Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data World Electric Vehicle Journal charging infrastructure charging station placement real-world data electric vehicle |
| title | Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data |
| title_full | Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data |
| title_fullStr | Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data |
| title_full_unstemmed | Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data |
| title_short | Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data |
| title_sort | electric vehicle public charging infrastructure planning using real world charging data |
| topic | charging infrastructure charging station placement real-world data electric vehicle |
| url | https://www.mdpi.com/2032-6653/13/6/94 |
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