纯电动汽车动力系统的网络物理评价:漏洞与挑战

Manuel Mar, Julien Noel, J. E. Dietz
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引用次数: 0

摘要

本文分析并报告了一款实验性电动汽车的漏洞和威胁。该方法采用电动汽车和通信仪器采集CAN总线信息。数据通过电子控制单元(ECU)和电池管理系统(BMS)接口收集。我们的重点是解码CAN信息并注入假信息,通过观察电气和机械数据来利用EV的网络物理性能。研究发现,在没有故障系统激活的情况下,电动汽车动力系统会出现严重退化。由于发动机和ECU之间的通信方式不同,整体效率和电力性能受到损害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cyber-Physical Review of a Battery Electric Vehicle Power Train: Vulnerabilities and Challenges
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.
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