Representative, empirical, real-world charging station usage characteristics and data in Germany

Hecht, Christopher; Bussar, Christian; Sauer, Dirk Uwe; Das, Saurav

doi:10.1016/j.etran.2020.100079

Journal Article

FZJ-2020-04824

Representative, empirical, real-world charging station usage characteristics and data in Germany

Hecht, C. (Corresponding author)RWTH* ; Das, S. (Corresponding author)RWTH* ; Bussar, C.RWTH* ; Sauer, D. U.FZJ*

2020
Elsevier Amsterdam [u.a.]

eTransportation 6, 100079 - (2020) [10.1016/j.etran.2020.100079]

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Please use a persistent id in citations: http://hdl.handle.net/2128/26366 doi:10.1016/j.etran.2020.100079

Abstract: Electric vehicle (EV) charging infrastructure is a new type of consumer in the power grid. Oftentimes,theoretical models have to be used to understand the impact of these new assets since little empiricaldata of charging station usage is available. This paper aims to increase understanding of charging stationusage by providing empirical data collected from 26,951 charging station connectors in Germany. Wedemonstrate that currently the usage intensity of stations is overall between 15% and 20% and thereforerelatively low, but depends strongly on weekday and hour of the day. Fast-chargers are generallyoccupied less time compared to slower chargers while each charging event also takes significantly lesstime. A key challenge in optimizing real-world asset usage are EVs which are parked significantly longerat charging stations than the actual charging process takes. We show that an unexpectedly high share ofcharging events requires between 8 and 10 h indicating that people park their EVs before going to workand then picking them up after they finished working.

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