vulnerabilities of ev battery packs to cyber attacks€¦ · [email protected] , [email protected]...

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Leaf i3 e6 Model S 0 0.2 0.4 0.6 0.8 1 Total Time of Attack [hr] AC-High+Lights+Power-Steering+Wipers AC-Low+Power-Steering+Wipers AC-High AC-Low Wipers Power Steering Lights Fan 0 6 12 18 Fraction of Total Range Lost [%] 0 6 12 18 0 3 6 9 0 2 4 6 Charging at Work Charging at Home Oslo San Francisco Beijing Delhi Phoenix 1 1.5 2 2.5 3 3.5 R * (in 400 days) T = 40 o C 0 1 2 3 4 5 6 Power [kW] 10.8 11 11.2 11.4 11.6 %Damage to Vital Capacity AC-High+Lights+Power-Steering+Wipers AC-Low+Power-Steering+Wipers AC-High AC-Low Wipers Power Steering Lights Fan 0 10 20 30 40 Ambient Temperature [ o C] 0 2 4 6 8 10 12 % Damage to Vital Capacity 39.8 39.9 40 10.5 11 11.5 T = 40 o C 0 5 10 15 20 25 Total Time of Attack [days] 0 5 10 15 % Damage to Vital Capacity 18 18.5 19 10 10.5 11 Baseline Load Attack Load Home Work Home Attack (a) -20 0 20 40 60 Power [kW] Attack Attack (b) Baseline Load Attack Load 0:00 4:00 9:00 14:00 19:00 23:59 Time-of-day [24-hour clock] -20 0 20 40 60 Power [kW] Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Months -10 0 10 20 30 40 Average Temperature [ o C] Phoenix San Francisco Oslo Beijing Delhi Vulnerabilities of EV Battery Packs to Cyber Attacks Shashank Sripad*, Sekar Kulandaivel ^ , Vyas Sekar ^ , Venkat Viswanathan* *Department of Mechanical Engineering, ^ Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213. [email protected] , [email protected] INTRODUCTION RESULTS FUTURE WORK Pictorial illustration of an attack scenario Parametric analysis of the different variables Modern Automobiles are entirely controlled by electronic circuits which expose them to cyber threats. Large-scale EV adoption is underway. There are unique and critical risks involved with EV batteries which could be the target of cyber attacks. Short-term impact on available range Auxiliary component-based attacks cause significant short- term damage by depleting the available range and potential long-term impact by enhancing the side reactions. Inclusion of the charging infrastructure would facilitate a more comprehensive understanding of the risks and impact. Our analysis highlights the importance of developing phenomenological models of the degradation process and safety models along similar lines will be used in future work. The use of metrics like R has implications on other areas like V2G scenarios. Leveraging safety models to quantify the risk of events like thermal runaway in cyber attack scenarios. Comparison of the permanent damage in different locations Attack workloads and environmental conditions

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Page 1: Vulnerabilities of EV Battery Packs to Cyber Attacks€¦ · ssripad@cmu.edu , venkvis@cmu.edu INTRODUCTION RESULTS FUTURE WORK Pictorial illustration of an attack scenario Parametric

Leaf i3 e6

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el S0 0.2 0.4 0.6 0.8 1

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Vulnerabilities of EV Battery Packs to Cyber AttacksShashank Sripad*, Sekar Kulandaivel^, Vyas Sekar^, Venkat Viswanathan*

*Department of Mechanical Engineering, ^Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213.

[email protected] , [email protected]

INTRODUCTION RESULTS

FUTURE WORK

Pictorial illustration of an attack scenario

Parametric analysis of the different variables

• Modern Automobiles are entirely controlled by electronic circuits which expose them to cyber threats.

• Large-scale EV adoption is underway.

• There are unique and critical risks involved with EV batteries which could be the target of cyber attacks.

Short-term impact on available range

• Auxiliary component-based attacks cause significant short-term damage by depleting the available range and potential long-term impact by enhancing the side reactions.

• Inclusion of the charging infrastructure would facilitate a more comprehensive understanding of the risks and impact.

• Our analysis highlights the importance of developing phenomenological models of the degradation process and safety models along similar lines will be used in future work.

• The use of metrics like ∆R has implications on other areas like V2G scenarios.

• Leveraging safety models to quantify the risk of events like thermal runaway in cyber attack scenarios.

Comparison of the permanent damage in different locations

Attack workloads and environmental conditions