Benchmarking Charging Infrastructure Utilization

Since 2012 the Dutch metropolitan area (The metropole region of Amsterdam, the city of Amsterdam, Rotterdam, the Hague, Utrecht ) cooperate in finding the best way to stimulate electric mobility through the implementation of a public charging infrastructure. With more than 5600 charge points and 1.6 million charge sessions in the last two years this is one of the most extensively used public charging infrastructure available worldwide. In this paper a benchmark study is carried out to identify different charge patterns between these 5 leading areas with an extensive public charging infrastructure to establish whether and how charge behaviour (e.g. charged volume, capacity utilization, unique users) differs between cities. Based on the results first explanations for possible differences in charge patterns between cities will be provided. The study aims to contribute to a better understanding of the utilization of public charging infrastructure in a metropolitan area existing of four city centres and the Amsterdam metropolitan area and to provide input for policy makers to prepare a public charging infrastructure ready for the projected growth of electric mobility in the next five years.

[1]  Jonn Axsen,et al.  Who can recharge a plug-in electric vehicle at home? , 2012 .

[2]  Jian Liu,et al.  Electric vehicle charging infrastructure assignment and power grid impacts assessment in Beijing , 2012 .

[3]  Thomas Franke,et al.  What drives range preferences in electric vehicle users , 2013 .

[4]  Jonn Axsen,et al.  Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles , 2009 .

[5]  Thomas Franke,et al.  Understanding charging behaviour of electric vehicle users , 2013 .

[6]  Phil Blythe,et al.  Analysis of electric vehicle driver recharging demand profiles and subsequent impacts on the carbon content of electric vehicle trips , 2013 .

[7]  R. Paul Brooker,et al.  Identification of potential locations of electric vehicle supply equipment , 2015 .

[8]  Yafeng Yin,et al.  Deploying public charging stations for electric vehicles on urban road networks , 2015 .

[9]  D. Bardok,et al.  Data analysis on the public charge infrastructure in the city of Amsterdam , 2013, 2013 World Electric Vehicle Symposium and Exhibition (EVS27).

[10]  Xu Hao,et al.  Optimal placement of charging infrastructures for large-scale integration of pure electric vehicles into grid , 2013 .

[11]  Margaret O'Mahony,et al.  Future standard and fast charging infrastructure planning: an analysis of electric vehicle charging behaviour , 2016 .

[12]  R. van den Hoed,et al.  Unraveling User Type Characteristics: Towards a Taxonomy for Charging Infrastructure , 2015 .

[13]  António Pais Antunes,et al.  Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal , 2011 .

[14]  Victor Sreeram,et al.  The investigation of the major factors influencing plug-in electric vehicle driving patterns and charging behaviour , 2015 .

[15]  Thomas Bräunl,et al.  Driving and charging patterns of electric vehicles for energy usage , 2014 .