Development of a DC Fast Charging Station Model

This project, funded by National Renewable Energy Laboratory, develops an analysis through modeling of DC fast charging (DCFC) power consumption based on data provided by Electric Vehicle Infrastructure Projection Tool (EVI-Pro). DCFC increases customer convenience by lowering charging time, enables long-distance EV travel, and could allow the electrification of high-mileage fleets. There is a need to better understand DCFC stations’ loading, utilization, and customer service quality (i.e. queuing time, charging duration, and queue length). This project aims to analyze these aspects using one million vehicle-days of travel data within Columbus, OH region. Monte Carlo analysis is carried out in three types of areas - urban, suburban, and rural (as shown in the figure below)- to quantify the effect of uncertain parameters on DCFC station loading and service quality. 
Related Publications:
  1. E. Y. Ucer, I. Koyuncu, M. C. Kisacikoglu, M. Yavuz, A. Meintz, and C. Rames, ”Analysis for design and operation of a multi-port DC fast charging station,” IEEE Trans. Transport. Electrific., vol. 5, no. 1, pp. 215-225, March 2019.
  2. E. Ucer, M. C. Kisacikoglu, F. Erden, A. Meintz, and C. Rames.  “Development of a DC Fast Charging Station Model for Use with EV Infrastructure Projection Tool,” IEEE Transport. Electrific. Conf. (ITEC), Long Beach, CA, June 2018.
Funding Agency:
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