TY - GEN
T1 - Analysis of the charging infrastructure for battery electric vehicles in commercial companies
AU - Betz, Johannes
AU - Walther, Leonhard
AU - Lienkamp, Markus
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/28
Y1 - 2017/7/28
N2 - The USAge of battery electric vehicles in the commercial sector provides a lot of advantages. However many commercial company owners are reluctant to switch to battery electric vehicles. Important reasons for this are the insufficient range of battery electric vehicles and the lack of charging infrastructure. This paper presents an analysis of the charging infrastructure for battery electric vehicles in the commercial sector. The analysis is based on fleet test data, which was collected by 16 different commercial companies and 32 individual vehicles in the area of Munich. The approach in this paper is to use a simulation model, in which a backward-facing longitudinal dynamic model can simulate different types of electric vehicles. In addition, a charging simulation is integrated which includes the charging behavior of the user and different types of charging stations in the fleet test area of Munich. With the electric vehicle and charging simulation, it is possible to evaluate the current and future charging infrastructure of Munich. A comparison between public, company, employee and customer charging station locations is displayed in the results.
AB - The USAge of battery electric vehicles in the commercial sector provides a lot of advantages. However many commercial company owners are reluctant to switch to battery electric vehicles. Important reasons for this are the insufficient range of battery electric vehicles and the lack of charging infrastructure. This paper presents an analysis of the charging infrastructure for battery electric vehicles in the commercial sector. The analysis is based on fleet test data, which was collected by 16 different commercial companies and 32 individual vehicles in the area of Munich. The approach in this paper is to use a simulation model, in which a backward-facing longitudinal dynamic model can simulate different types of electric vehicles. In addition, a charging simulation is integrated which includes the charging behavior of the user and different types of charging stations in the fleet test area of Munich. With the electric vehicle and charging simulation, it is possible to evaluate the current and future charging infrastructure of Munich. A comparison between public, company, employee and customer charging station locations is displayed in the results.
UR - http://www.scopus.com/inward/record.url?scp=85028074764&partnerID=8YFLogxK
U2 - 10.1109/IVS.2017.7995945
DO - 10.1109/IVS.2017.7995945
M3 - Conference contribution
AN - SCOPUS:85028074764
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1643
EP - 1649
BT - IV 2017 - 28th IEEE Intelligent Vehicles Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE Intelligent Vehicles Symposium, IV 2017
Y2 - 11 June 2017 through 14 June 2017
ER -