Development of a DC Fast Charging Station Model for Use with EV Infrastructure Projection Tool

Andrew Meintz; Emin Ucer; Mithat Kisacikoglu; Fatih Erden; Clement Rames

doi:10.1109/ITEC.2018.8450158

Development of a DC Fast Charging Station Model for Use with EV Infrastructure Projection Tool

Andrew Meintz, Emin Ucer, Mithat Kisacikoglu, Fatih Erden, Clement Rames

Center for Integrated Mobility Sciences

Research output: Contribution to conference › Paper › peer-review

13 Scopus Citations

Abstract

The deployment of public charging infrastructure networks has been a major factor in enabling electric vehicle (EV) technology transition, and must continue to support the adoption of this technology. DC fast charging (DCFC) increases customer convenience by lowering charging time, enables long-distance EV travel, and could allow the electrification of high-mileage fleets. Yet, high capital costs and uneven power demand have been major challenges to the widespread deployment of DCFC stations. 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 study aims to analyze these aspects using one million vehicle-days of travel data within the Columbus, OH, region. Monte Carlo analysis is carried out in three types of areas - urban, suburban, and rural- to quantify the effect of uncertain parameters on DCFC station loading and service quality.

Original language	American English
Pages	934-938
Number of pages	5
DOIs	https://doi.org/10.1109/ITEC.2018.8450158 https://doi.org/10.1109/ITEC.2018.8450158
State	Published - 28 Aug 2018
Event	2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018 - Long Beach, United States Duration: 13 Jun 2018 → 15 Jun 2018

Conference

Conference	2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018
Country/Territory	United States
City	Long Beach
Period	13/06/18 → 15/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

NREL Publication Number

NREL/CP-5400-71245

Keywords

batteries
charging stations
data models
load modeling
power demand
state of charge
tools

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Meintz, A., Ucer, E., Kisacikoglu, M., Erden, F., & Rames, C. (2018). Development of a DC Fast Charging Station Model for Use with EV Infrastructure Projection Tool. 934-938. Paper presented at 2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018, Long Beach, United States. https://doi.org/10.1109/ITEC.2018.8450158, https://doi.org/10.1109/ITEC.2018.8450158

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Meintz, A, Ucer, E, Kisacikoglu, M, Erden, F & Rames, C 2018, 'Development of a DC Fast Charging Station Model for Use with EV Infrastructure Projection Tool', Paper presented at 2018 IEEE Transportation and Electrification Conference and Expo, ITEC 2018, Long Beach, United States, 13/06/18 - 15/06/18 pp. 934-938. https://doi.org/10.1109/ITEC.2018.8450158, https://doi.org/10.1109/ITEC.2018.8450158

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AU - Erden, Fatih

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KW - charging stations

KW - data models

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KW - power demand

KW - state of charge

KW - tools

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ER -

Development of a DC Fast Charging Station Model for Use with EV Infrastructure Projection Tool

Abstract

Conference

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Keywords

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