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Generating electric vehicle load profiles from empirical data of three EV fleets in Southwest Germany

Schäuble, Johannes; Kaschub, Thomas; Ensslen, Axel; Jochem, Patrick; Fichtner, Wolf

The increasing demand for electricity caused by a growing number of electric vehicles (EV) is a major challenge for future energy systems. For an integration of the electricity demand from EV, a comprehensive knowledge of its characteristics is essential. The analysis of charging behavior patterns of EV and resulting load profiles become important premises for this crucial task. Three electric mobility studies in Germany's southwestern region (Get eReady, iZEUS, and CROME) deliver comprehensive data of EV use for this purpose. In this paper we analyze and discuss the mobility and charging characteristics of this data in detail. We derive empirical EV load profiles and show how they are affected by charging management as well as charging power. We present a model to simulate EV loads based on statistical characteristics of the conducted studies. The resulting charging load profiles show similar patterns as other EV studies. The developed simulation model and its results (see supplementary data available online) allow a realistic representation of EV demand in analyses of future energy systems.

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DOI: 10.5445/IR/1000067181
DOI: 10.1016/j.jclepro.2017.02.150
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 0959-6526, 1879-1786
KITopen-ID: 1000067181
Erschienen in Journal of cleaner production
Band 150
Seiten 253–266
Projektinformation IILSE (BMWi, 01MX15004)
Schlagwörter Electric vehicles; Electric load profiles; Electric mobility; Simulation; Modeling; Fleet studies
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