Analyzing and Defending Cyberattacks on Electric, Hybrid, and AV Battery Systems

Alongside, another notable development in the automotive sector is the transition to electric vehicles (EVs) motivated by efforts to downscale tailpipe emissions. Currently, widespread EV adoption is bottlenecked by limited driving range, battery pack cost, battery lifetime and safety issues associated with Li-ion batteries. The battery pack forms a significant fraction of the total cost of the electric vehicle (∼20% of the vehicle cost). From the standpoint of automotive cybersecurity, while the primary focus is on immediate safety concerns, EV battery packs introduce several new points of vulnerability and safety concerns which need to be explored. In this article, the authors develop a physics-driven approach to systematically analyze cyberattacks against EV batteries through simulations of the operation of an EV along with its subsystems. Using this framework, the authors identify different cyberattack scenarios that can cause either temporary or permanent damage to battery systems.

  • Record URL:
  • Summary URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Carnegie Mellon University

    Department of Mechanical Engineering
    5000 Forbes Avenue
    Pittsburgh, PA  United States  15213

    Technologies for Safe and Efficient Transportation University Transportation Center

    Carnegie Mellon University
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Viswanathan, Venkat
  • Publication Date: 2018

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Research Report
  • Features: Figures; References; Tables;
  • Pagination: 11p

Subject/Index Terms

Filing Info

  • Accession Number: 01684235
  • Record Type: Publication
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Oct 9 2018 2:54PM