Analysis of Accidents Caused by Out-of-Control Electric Vehicles and Study of Identification Technology

Safety issues related to electric vehicles (EVs) have become prominent along with the increasing inventory of EVs. This paper studies characteristics and laws of typical out-of-control accidents of EVs and analyzes internal and external factors and mechanisms of such accidents in combination with the in-depth investigation of traffic accidents of EVs. Based on that, a new identification scheme has been proposed for checking and identifying core components of EVs by applying the hardware-in-the-loop test technology to identify out-of-control accidents of EVs. According to the study findings, since similarities can be found in the type of typical out-of-control accidents of EVs, satisfying the identification requirement of core components of EVs with the improved hardware-in-the-loop test scheme is crucial for investigating causes of the out-of-control accidents of EVs.

• Record URL:
  https://doi.org/10.1061/9780784483053.341
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483053
• Supplemental Notes:
  • © 2020 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhang, Chao
  • Gong, Biao
  • Gao, Yan
  • Li, Ping-Fan
  • He, Hong-Wen
• Conference:
  • 20th COTA International Conference of Transportation Professionals
  • Location: Xi’an , China
  • Date: 2020-8-14 to 2020-8-16
• Publication Date: 2020

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 4089-4101
• Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

• TRT Terms: Crash characteristics; Crash investigation; Crashes; Electric vehicles; Hardware in the loop simulation; Highway safety; Identification systems; Testing
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01768433
• Record Type: Publication
• ISBN: 9780784483053
• Files: TRIS, ASCE
• Created Date: Mar 26 2021 5:47PM