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Workload patterns of fast charging stations along the German Autobahn

Jochem, Patrick 1; Landes, Philipp 1; Reuter-Oppermann, Melanie 1; Fichtner, Wolf ORCID iD icon 1
1 Karlsruhe Service Research Institute (KSRI), Karlsruher Institut für Technologie (KIT)

Abstract:

We analyze daily charging demand patterns of electric vehicles at DC fast charging stations along the
German autobahn for an average week in 2020. For this we develop an agent based simulation tool based
on current empirical mobility data. Our results show that already in 2020 about 1,000 charging processes
per charging location and day might be realistic. In order to avoid long waiting times these charging
locations should be equipped with about 20 charging points. A utilization rate of up to 80% makes a
profitable operation of these stations highly probable. A sensitivity analysis indicates main parameters
which influence the throughput of electric vehicles significantly.


Volltext §
DOI: 10.5445/IR/1000065371
Scopus
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Institut für Operations Research (IOR)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2016
Sprache Englisch
Identifikator ISSN: 2032-6653
urn:nbn:de:swb:90-653712
KITopen-ID: 1000065371
Erschienen in World Electric Vehicle Journal
Verlag MDPI
Band 8
Heft 4
Seiten 926-923
Projektinformation IILSE (BMWK, 01MX15004)
Bemerkung zur Veröffentlichung Proceedings of EVS29 Symposium. Montréal, Québec, CDN, June 19-22, 2016
Nachgewiesen in Scopus
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