Standard Load Profiles for Electric Vehicle Charging Stations in Germany Based on Representative, Empirical Data

Author:

Hecht Christopher123ORCID,Figgener Jan123ORCID,Li Xiaohui4ORCID,Zhang Lei4ORCID,Sauer Dirk Uwe1235ORCID

Affiliation:

1. Grid Integration and Storage System Analysis, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, 52074 Aachen, Germany

2. Institute for Power Generation and Storage Systems (PGS), E.ON ERC, RWTH Aachen University, 52074 Aachen, Germany

3. Juelich Aachen Research Alliance, JARA-Energy, 52056 Aachen, Germany

4. National Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China

5. Helmholtz Institute Muenster (HI MS), IEK-12, Forschungszentrum Jülich, 52428 Jülich, Germany

Abstract

Electric vehicles are becoming dominant in the global automobile market due to their better environmental friendliness compared to internal combustion vehicles. An adequate network of public charging stations is required to fulfil the fast charging demands of EV users. Knowing the shape and amplitude of their power curves is essential for power purchase planning and grid capacity sizing. Based on a large-scale empirical and representative dataset, this paper creates standard load profiles for various power levels, station sizes, and operating environments. It is found that the average power per charge point increases with rated station power, particularly for a rated power above 100 kW, and decreases with the number of charge points per station for AC chargers. For AC chargers, it is revealed how the shape of the power curve largely depends on the environment of a station, with urban settings experiencing the highest average power of 0.71 kW on average leading to an annual energy sale of 6.2 MWh. These findings show that the rated grid capacity can be well below the sum of the rated power of each charge point.

Funder

Federal Ministry for Economic Affairs and Climate Action (BMWK) on the basis of a decision by the German Bundestag

Ministry of Science and Technology of the People’s Republic of China

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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4. Bibra, E.M., Connelly, E., Dhir, S., Drtil, M., Henriot, P., Hwang, I., Le Marois, J.B., McBain, S., Paoli, L., and Teter, J. (2022, August 29). Global EV Outlook 2022. International Energy Agency, Paris. Available online: https://www.iea.org/reports/global-ev-outlook-2022.

5. BDEW (2022, December 11). Standardlastprofile Strom. Available online: https://www.bdew.de/energie/standardlastprofile-strom/.

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1. Analysis of the Efficiency of Electric Vehicle Charging Control in Urban Distribution Grids;2023 Belarusian-Ural-Siberian Smart Energy Conference (BUSSEC);2023-09-25

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