Mobility patterns and charging behavior of BMW i3 customers

Lisa Kessler, Klaus Bogenberger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

In this paper, data from real world electric vehicle trips have been analyzed. Based on a data set recorded from 40 different electric vehicles over a period of one year, more than 54,000 single trips were analyzed. It is shown when, where and how long the electric vehicles are used and how often and how much they get charged. Three different user types have been identified and the results show that most drivers use their cars in a very risk-Averse way. In a second step, dynamic traffic information for electric vehicles is developed by analyzing the impact factors on the energy consumption. The analyzed data are used to expand current dynamic traffic information to include electric specific information.

Original languageEnglish
Title of host publication2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1994-1999
Number of pages6
ISBN (Electronic)9781509018895
DOIs
StatePublished - 22 Dec 2016
Externally publishedYes
Event19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brazil
Duration: 1 Nov 20164 Nov 2016

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Country/TerritoryBrazil
CityRio de Janeiro
Period1/11/164/11/16

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