Technological Review of Charging Demand and Distribution Models for Electric Vehicles

Studies of US Energy Information Administration indicate that transportation sector contributes 26% of total energy consumption, and 90% of total energy used for transportation is petroleum products. Among alternative fuel vehicles which use the technologies powering an engine that does not solely involve petroleum, electric vehicle (EV) has hence become a high priority for many governments and vehicle manufacturers around the world. However, a massive market penetration of EVs has invited urgent need of charging infrastructure. To support smart planning and deployment of the charging infrastructure systems and facilities, charging demand forecasting model has drawn a wider attention to researchers and practitioners, including planners and policy makers. This paper presents a comprehensive and in-depth literature review of the relevant studies that have identified various types of charging infrastructure versus facility areas, needs, as well as contributing factors that forms the basis of modeling charging demand forecasts.

• Record URL:
  • https://doi.org/10.1061/9780784484883.004
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784484883
• Supplemental Notes:
  • © 2023 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Lin, Wei
  • Wei, Heng
• Conference:
  • International Conference on Transportation and Development 2023
  • Location: Austin Texas, United States
  • Date: 2023-6-14 to 2023-6-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 34-47
• Monograph Title: International Conference on Transportation and Development 2023: Transportation Planning, Operations, and Transit

Subject/Index Terms

• TRT Terms: Demand; Electric vehicle charging; Electric vehicles; Forecasting; Infrastructure; Literature reviews
• Subject Areas: Energy; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01886837
• Record Type: Publication
• ISBN: 9780784484883
• Files: TRIS, ASCE
• Created Date: Jun 29 2023 4:15PM