Case studies validating algorithm to determine the number of charging station placed in an Interstate and US-Highway

Subhaditya Shom, Fares Al Juheshi, Ala'A Rayyan, Mahmoud Alahmad, Mohammad Abdul-Hafez, Khaled Shuaib

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Determining the location for electric vehicles charging stations within a particular area of interest can be a key factor for a successful deployment. In this paper, an algorithm is developed which calculates the total number of charging stations for a particular model of electric vehicle in an Interstate and US-Highway in between two point cities. The algorithm takes into account design factors such as range anxiety, rated mileage of the electric vehicle, population of the cities near the Interstate and US-Highway, and distance between start-point and end-point. Two case studies have been shown for the state of Nebraska, USA with two different models of electric vehicles, to validate the algorithm.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Electro Information Technology, EIT 2017
PublisherIEEE Computer Society
Pages50-55
Number of pages6
ISBN (Electronic)9781509047673
DOIs
Publication statusPublished - Sep 27 2017
Event2017 IEEE International Conference on Electro Information Technology, EIT 2017 - Lincoln, United States
Duration: May 14 2017May 17 2017

Publication series

NameIEEE International Conference on Electro Information Technology
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Other

Other2017 IEEE International Conference on Electro Information Technology, EIT 2017
Country/TerritoryUnited States
CityLincoln
Period5/14/175/17/17

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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