Home > Publications database > Standard Load Profiles for Electric Vehicle Charging Stations in Germany Based on Representative, Empirical Data > print

001     1024904
005     20250203103204.0
024 7 _ |a 10.3390/en16062619
|2 doi
024 7 _ |a 10.34734/FZJ-2024-02554
|2 datacite_doi
024 7 _ |a WOS:000968401500001
|2 WOS
037 _ _ |a FZJ-2024-02554
082 _ _ |a 620
100 1 _ |a Hecht, Christopher
|0 0000-0002-2763-659X
|b 0
|e Corresponding author
245 _ _ |a Standard Load Profiles for Electric Vehicle Charging Stations in Germany Based on Representative, Empirical Data
260 _ _ |a Basel
|c 2023
|b MDPI
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1712737670_24399
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a 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.
536 _ _ |a 1223 - Batteries in Application (POF4-122)
|0 G:(DE-HGF)POF4-1223
|c POF4-122
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Figgener, Jan
|0 0000-0003-2216-9432
|b 1
700 1 _ |a Li, Xiaohui
|0 0000-0002-5804-6656
|b 2
700 1 _ |a Zhang, Lei
|b 3
700 1 _ |a Sauer, Dirk Uwe
|0 P:(DE-Juel1)172625
|b 4
773 _ _ |a 10.3390/en16062619
|g Vol. 16, no. 6, p. 2619 -
|0 PERI:(DE-600)2437446-5
|n 6
|p 2619 -
|t Energies
|v 16
|y 2023
|x 1996-1073
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1024904/files/energies-16-02619.pdf
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/1024904/files/energies-16-02619.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/1024904/files/energies-16-02619.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/1024904/files/energies-16-02619.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/1024904/files/energies-16-02619.jpg?subformat=icon-640
909 C O |o oai:juser.fz-juelich.de:1024904
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)172625
913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Materialien und Technologien für die Energiewende (MTET)
|1 G:(DE-HGF)POF4-120
|0 G:(DE-HGF)POF4-122
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Elektrochemische Energiespeicherung
|9 G:(DE-HGF)POF4-1223
|x 0
914 1 _ |y 2024
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
|d 2023-10-25
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-10-25
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ENERGIES : 2022
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-04-12T14:57:23Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-04-12T14:57:23Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-25
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-25
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2023-10-25
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-10-25
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-25
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-04-12T14:57:23Z
920 1 _ |0 I:(DE-Juel1)IEK-12-20141217
|k IEK-12
|l Helmholtz-Institut Münster Ionenleiter für Energiespeicher
|x 0
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IEK-12-20141217
981 _ _ |a I:(DE-Juel1)IMD-4-20141217

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21