Will Advanced Public Charging Infrastructure Speed Up Electrification of Future Transportation?

Fei Xie, Zhenhong Lin, Yan Zhou, Clement Rames, Eric Wood, Eleftheria Kontou

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

Abstract

This study focuses on evaluating impacts of advanced, urban public charging infrastructure on the battery electric vehicle (BEV) adoption in the U.S market. Under various infrastructure scenarios (e.g., current and developed conditions), we investigate the infrastructure impacts on the near-term BEV adoption using a consumer-choice based market simulation approach. Our results suggest that current public charging infrastructure has continuous and significant impacts on the near-term BEV adoption. Additional infrastructure investment could further stimulate the public acceptance of BEVs. We also find that the actual infrastructure impact may vary depending on the assumption of how charging deployment could affect consumers' access of chargers and consumers' daily available charging time. However, this impact variability could be reduced when infrastructure is getting mature.

Original languageEnglish (US)
Title of host publication2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1534-1539
Number of pages6
ISBN (Electronic)9781728103235
DOIs
StatePublished - Dec 7 2018
Externally publishedYes
Event21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States
Duration: Nov 4 2018Nov 7 2018

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2018-November

Other

Other21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Country/TerritoryUnited States
CityMaui
Period11/4/1811/7/18

Keywords

  • battery electric vehicle
  • public charging
  • vehicle market

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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