Cyber-physical review of a battery electric vehicle power train: Vulnerabilities and challenges

Manuel Mar, Julien Noel, J. Eric Dietz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

This paper analyzes and reports the vulnerabilities and threats of an experimental electric vehicle. The proposed approach employs an electric vehicle (EV) and communication instrumentation for collecting CAN bus messages. Data was collected through the Electronic Control Unit (ECU) and the battery management system (BMS) interface. Our focus is on decoding the CAN messages and injecting false messages to exploit EV cyber-physical performance by observing the electrical and mechanical data. We found out that the electric car powertrain can be degraded severely without the fault systems' activation. Due to different communication between the engine and the ECU, the overall efficiency and electrical power performance were compromised.

Idioma originalInglés
Título de la publicación alojada2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665444217
DOI
EstadoPublicada - 15 set. 2021
Evento2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021 - Lima, Perú
Duración: 15 set. 202117 set. 2021

Serie de la publicación

Nombre2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021

Conferencia

Conferencia2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021
País/TerritorioPerú
CiudadLima
Período15/09/2117/09/21

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