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Load Profile Generator for Electric Vehicle Home Charging

Paper presented at 32nd International Electric Vehicle Symposium & Exhibition, EVS 2019, A world of E MOTION, 19th - 22nd May 2019, Lyon
: Göhler, Georg; Otteny, Felix; Triebke, Henriette; Reiser, Marco

Fulltext urn:nbn:de:0011-n-5461574 (1.7 MByte PDF)
MD5 Fingerprint: b2f4041b89f44ef1144d822ca81c231b
Created on: 28.5.2019

2019, 12 pp.
International Electric Vehicle Symposium & Exhibition (EVS) <32, 2019, Lyon>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
Schaufenster intelligente Energie - Digitale Agenda für die Energiewende (SINTEG); 03SIN125; C/sells
Conference Paper, Electronic Publication
Fraunhofer IAO ()

Nowadays, electromobility is an essential part of a continuing change in worldwide mobility. Users' attitudes towards electromobility are influenced essentially by the ability to adapt to their own personal mobility needs. The subjective assessment, whether an electric car could manage familiar routes, is highly decisive for the willingness to use electric vehicles. Furthermore, increasing acceptance will lead to grid relevant load peaks through the parallel charging processes. To tackle both problems, i.e. overcoming user doubts and the prediction of the electric load, the Institute of Human Research of the University of Stuttgart developed the tool "Profile Generator for Electromobile Loads". It generates a charging profile based on the individual mobility behaviour of a private electric vehicle user.