Selecting locations of electric vehicle charging stations based on the traffic load eliminating method

Bong Gi Choi; Byeong Chan Oh; Sungyun Choi; Sung Yul Kim

doi:10.3390/en13071650

Selecting locations of electric vehicle charging stations based on the traffic load eliminating method

Bong Gi Choi, Byeong Chan Oh, Sungyun Choi, Sung Yul Kim

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

Establishing electric vehicle supply equipment (EVSE) to keep up with the increasing number of electric vehicles (EVs) is the most realistic and direct means of promoting their spread. Using traffic data collected in one area; we estimated the EV charging demand and selected priority fast chargers; ranging from high to low charging demand. A queueing model was used to calculate the number of fast chargers required in the study area. Comparison of the existing distribution of fast chargers with that suggested by the traffic load eliminating method demonstrated the validity of our traffic-based location approach.

Original language	English
Article number	en13071650
Journal	Energies
Volume	13
Issue number	7
DOIs	https://doi.org/10.3390/en13071650
Publication status	Published - 2020

Bibliographical note

Funding Information:
Funding: This study was supported by a research grant for 2016 Basic Research and Development Projects selected by Korea Electric Power Corporation (project number: R17XA05-47).

Publisher Copyright:
© 2020 by the authors.

Keywords

Charging station
Electric vehicle
Electric vehicle supply equipment (EVSE)
Kriging
Location
Queueing model
Traffic

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Energy (miscellaneous)
Control and Optimization
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/en13071650

Cite this

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abstract = "Establishing electric vehicle supply equipment (EVSE) to keep up with the increasing number of electric vehicles (EVs) is the most realistic and direct means of promoting their spread. Using traffic data collected in one area; we estimated the EV charging demand and selected priority fast chargers; ranging from high to low charging demand. A queueing model was used to calculate the number of fast chargers required in the study area. Comparison of the existing distribution of fast chargers with that suggested by the traffic load eliminating method demonstrated the validity of our traffic-based location approach.",

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KW - Charging station

KW - Electric vehicle

KW - Electric vehicle supply equipment (EVSE)

KW - Kriging

KW - Location

KW - Queueing model

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Selecting locations of electric vehicle charging stations based on the traffic load eliminating method

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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