Mobility patterns and charging behavior of BMW i3 customers

Lisa Kessler; Klaus Bogenberger

doi:10.1109/ITSC.2016.7795878

Mobility patterns and charging behavior of BMW i3 customers

Universität der Bundeswehr München

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 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 language	English
Title of host publication	2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1994-1999
Number of pages	6
ISBN (Electronic)	9781509018895
DOIs	https://doi.org/10.1109/ITSC.2016.7795878
State	Published - 22 Dec 2016
Externally published	Yes
Event	19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brazil Duration: 1 Nov 2016 → 4 Nov 2016

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	0
ISSN (Electronic)	2153-0017

Conference

Conference	19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Country/Territory	Brazil
City	Rio de Janeiro
Period	1/11/16 → 4/11/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/ITSC.2016.7795878

Cite this

Kessler, L., & Bogenberger, K. (2016). Mobility patterns and charging behavior of BMW i3 customers. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016 (pp. 1994-1999). Article 7795878 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2016.7795878

@inproceedings{b98ba1d24d85484cb03ff91bc405e6d9,

title = "Mobility patterns and charging behavior of BMW i3 customers",

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.",

author = "Lisa Kessler and Klaus Bogenberger",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 ; Conference date: 01-11-2016 Through 04-11-2016",

year = "2016",

month = dec,

day = "22",

doi = "10.1109/ITSC.2016.7795878",

language = "English",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1994--1999",

booktitle = "2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016",

}

Kessler, L & Bogenberger, K 2016, Mobility patterns and charging behavior of BMW i3 customers. in 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016., 7795878, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 0, Institute of Electrical and Electronics Engineers Inc., pp. 1994-1999, 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016, Rio de Janeiro, Brazil, 1/11/16. https://doi.org/10.1109/ITSC.2016.7795878

Mobility patterns and charging behavior of BMW i3 customers. / Kessler, Lisa ; Bogenberger, Klaus.
2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1994-1999 7795878 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Bogenberger, Klaus

PY - 2016/12/22

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N2 - 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.

AB - 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.

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U2 - 10.1109/ITSC.2016.7795878

DO - 10.1109/ITSC.2016.7795878

M3 - Conference contribution

AN - SCOPUS:85010029733

T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

SP - 1994

EP - 1999

BT - 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016

Y2 - 1 November 2016 through 4 November 2016

ER -

Kessler L , Bogenberger K. Mobility patterns and charging behavior of BMW i3 customers. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1994-1999. 7795878. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2016.7795878

Mobility patterns and charging behavior of BMW i3 customers

Abstract

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UN SDGs

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