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Analysis of electric vehicle charging station usage and profitability in Germany based on empirical data

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Preprint 01 Dec 2022Embargo end date: 01 Jan 2022 Germany Publisher:Elsevier BVJournal:iScience, volume 25, page 105,634 (issn: 2589-0042,

Authors: Christopher Hecht; Jan Figgener; Dirk Uwe Sauer;

doi: 10.1016/j.isci.2022.105634 , 10.48550/arxiv.2206.09582 , 10.18154/rwth-2022-11268

pmid: 36561888

pmc: PMC9763839

arXiv: http://arxiv.org/abs/2206.09582 , 2206.09582

Analysis of electric vehicle charging station usage and profitability in Germany based on empirical data

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Abstract

Electric vehicles are booming and with them the required public charging stations. Knowing how charging stations are used is crucial for operators of the charging stations themselves, navigation systems, electricity grids, and many more. Given that there are now 2.5 as many vehicles per charging station compared to 2017, the system needs to allocate charging points intelligently and efficiently. This paper presents representative data on energy consumption, arrival times, occupation, and profitability of charging stations in Germany by combining usage data of 27,800 installations. Charging happens mainly during the day and on weekdays for AC charging stations while DC fast-charging stations are more popular on the weekend. Fast-chargers service approximately 3 times as many vehicles per connection point while also being substantially more profitable due to higher achieved margins. For AC chargers, up to 20 kWh of energy are charged in an average charge event while DC fast-chargers supply approximately 40 kWh.

Paper currently under review. Please check if full paper is available before citing. Accompanying data will be published alongside the full paper

Country

Germany

Related Organizations

Helmholtz Association of German Research Centres
Germany
RWTH Aachen University
Germany
Forschungszentrum Jülich
Germany

Keywords

Energy resources, info:eu-repo/classification/ddc/050, Science, Q, 050, Energy management, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Article, FOS: Electrical engineering, electronic engineering, information engineering, Energy Modelling, Energy policy

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	26
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%