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Data analysis of PEV charging events in rural and business environments - a load behaviour comparison

: Triebke, Henriette; Göhler, Georg; Wagner, Sabine

Fulltext urn:nbn:de:0011-n-3936800 (22 MByte PDF)
MD5 Fingerprint: f7e806c05ac15d6abca6f18b480dd0ff
Created on: 24.5.2016

Henke, Markus (Veranstalter) ; Intelligente Transport- und Verkehrssysteme und -dienste Niedersachsen:
Hybrid and electric vehicles : 13th symposium, February 23rd and 24th, 2016, Stadthalle Braunschweig
Braunschweig: ITS automotive nord, 2016
ISBN: 978-3-937655-38-3
Symposium Hybrid and Electric Vehicles (HEV) <13, 2016, Braunschweig>
Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit BMUB
LivingLab BWe mobil; 16SBW022C; charge@work
Elektromobilität am Arbeitsplatz
Conference Paper, Electronic Publication
Fraunhofer IAO ()

The design and optimal planning of charging infrastructure pose a major challenge for the development of electromobility. Oversized charging stations lead to unnecessary high investment costs, which might hinder the realization of certain infrastructure projects, whereas undersized stations increase the risk of overload during peak times. The key to an optimal charging infrastructure is the exact knowledge of the electric vehicles' (EV) energy demand as a function of time, location and way of utilization. On the one hand this infortnation can be provided by complex simulations of traffic and energy flows. On the other hand extensive field tests in public places can give a realistic insight into the charging behaviour of EV users and be used for model validations. The present paper addresses the latter approach by analysing charging events of different EV field tests.