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Analysis and simulation of the population driving behaviour and charging processes at different charging station types with electric vehicles

  • Electric vehicles are one of the important components of the energy transition, which is necessary for the CO2 emission reduction. In order to estimate the influence of electromobility on electric grids at present day and in the future, the generation of realistic charge profiles is necessary. The main objective of this study is the development of an algorithm, which generates realistic charge time series of electric vehicles. The very huge and detailed input surveys enable to define different population groups, representing specific driving behaviour. These groups are then composed and scaled up, according to the statistical population structure of a chosen town or city in Germany, and show typical driving behaviour of all inhabitants. The charge profiles are calculated for several charge station types, based on daily electric vehicle user mobility, day type and household type. In addition, charge process occurrence is evaluated through a model, involving charge infrastructure presence, attractiveness of corresponding charge station type and charge process necessity.

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Metadaten
Author:Maksym Klitsman, Oliver BrücklGND, Johannes EllerORCiD
ISBN:978-3-8007-5651-3
Parent Title (English):NEIS 2021, Conference on Sustainable Energy Supply and Energy Storage Systems: 13-14. September 2021, Hamburg
Publisher:VDE-Verlag
Editor:Detlef Schulz
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2021
Release Date:2022/05/02
First Page:254
Last Page:260
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Forschungsstelle für Energienetze und Energiespeicher (FENES) / Forschungsgruppe Energienetze
Begutachtungsstatus:peer-reviewed
research focus:Energie und Mobilität
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG