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Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data

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 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.
- RWTH Aachen University Germany
- Forschungszentrum Jülich Germany
- Helmholtz Association of German Research Centres Germany
- Jülich Aachen Research Alliance Germany
- Forschungszentrum Jülich GmbH Germany
TA1001-1280, real-world data, electric vehicle, charging infrastructure, charging station placement, TK1-9971, 621.3, info:eu-repo/classification/ddc/621.3, Transportation engineering, charging infrastructure; charging station placement; real-world data; electric vehicle, Electrical engineering. Electronics. Nuclear engineering
TA1001-1280, real-world data, electric vehicle, charging infrastructure, charging station placement, TK1-9971, 621.3, info:eu-repo/classification/ddc/621.3, Transportation engineering, charging infrastructure; charging station placement; real-world data; electric vehicle, Electrical engineering. Electronics. Nuclear engineering
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