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World Electr. Veh. J. 2018, 9(2), 25; https://doi.org/10.3390/wevj9020025

Performance of Electric Vehicle Charging Infrastructure: Development of an Assessment Platform Based on Charging Data

University of Applied Sciences Amsterdam, Weesperzijde 190, 1097 DZ Amsterdam, The Netherlands
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Received: 8 June 2018 / Revised: 16 July 2018 / Accepted: 18 July 2018 / Published: 20 July 2018
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Abstract

Developers of charging infrastructure, be it public or private parties, are highly dependent on accurate utilization data in order to make informed decisions where and when to expand charging points. The Amsterdam University of Applied Sciences, in close cooperation with the municipalities of Amsterdam, Rotterdam, The Hague, Utrecht, and the Metropolitan Region of Amsterdam Electric, developed both the back- and front-end of a charging infrastructure assessment platform that processes and represents real-life charging data. Charging infrastructure planning and design methods described in the literature use geographic information system data, traffic flow data of non-EV vehicles, or geographical distributions of, for example, refueling stations for combustion engine vehicles. Only limited methods apply real-life charging data. Rolling out public charging infrastructure is a balancing act between stimulating the transition to zero-emission transport by enabling (candidate) EV drivers to charge, and limiting costly investments in public charging infrastructure. Five key performance indicators for charging infrastructure utilization are derived from literature, workshops, and discussions with practitioners. The paper describes the Data Warehouse architecture designed for processing large amounts of charging data, and the web-based assessment platform by which practitioners get access to relevant knowledge and information about the current performance of existing charging infrastructure represented by the key performance indicators developed. The platform allows stakeholders in the decision-making process of charging point installation to make informed decisions on where and how to expand the already existing charging infrastructure. The results are generalizable beyond the case study regions in the Netherlands and can serve the roll-out of charging infrastructure, both public and semi-public, all over the world. View Full-Text
Keywords: EV charging; simulation; user behavior; infrastructure; municipal government; public EV charging infrastructure; zero-emission transport; decision support; key performance indicator EV charging; simulation; user behavior; infrastructure; municipal government; public EV charging infrastructure; zero-emission transport; decision support; key performance indicator
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Maase, S.; Dilrosun, X.; Kooi, M.; van den Hoed, R. Performance of Electric Vehicle Charging Infrastructure: Development of an Assessment Platform Based on Charging Data. World Electr. Veh. J. 2018, 9, 25.

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