Building Up Demand-Oriented Charging Infrastructure for Electric Vehicles in Germany
Author(s) -
Tamer Soylu,
John E. Anderson,
Nicole Böttcher,
Christine Weiß,
Bastian Chlond,
Tobias Kuhnimhof
Publication year - 2016
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2016.12.079
Subject(s) - operability , electric vehicle , driving range , transport engineering , infrastructure planning , battery (electricity) , plan (archaeology) , computer science , environmental economics , risk analysis (engineering) , telecommunications , business , engineering , economics , power (physics) , physics , software engineering , archaeology , quantum mechanics , history
Mobility offerings have never been as abundant and varied as the present. While users welcome new and innovative mobility options, this current paradigm shift presents a challenge for authorities that plan, organize, and operate such services. In particular, integrating new mobility services into existing infrastructure systems can generate problems of acceptance, co-operability, and compatibility. This problem is especially relevant for electric vehicles. Limited range and battery capacity of battery electric vehicles make them dependent on charging infrastructure, which in turn hinders their acceptance. In light of the German government's goal of one million electric vehicles by 2020, establishing a demand-oriented charging infrastructure is of crucial importance. However, numerous questions remain unanswered regarding the quantity, type, and location of electric vehicle charging stations in Germany. This article presents the findings of the project “LADEN2020: Concept to build up a demand-oriented charging infrastructure in Germany between today and 2020.” The research project develops a systematically comprehensible and consistent strategy for electric vehicle charging infrastructure in Germany. The paper presents the methodological framework to estimate the charging demand for daily and long-distance travel, which is unique and innovative as similar comprehensive and consistent analytical tools do not exist to date.
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