Protecting Local Wireless Charging Stations Against Cyber-Physical Attacks by Weaponized EVs

IF 2.8 Q3 ENERGY & FUELS
Samaneh Yazdanipour;Mohammadreza Fakhari Moghaddam Arani;Amir Abiri Jahromi;V. S. R. Varaprasad Oruganti;Sheldon S. Williamson
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引用次数: 0

Abstract

Wireless charging stations are gaining attention due to their ability to reduce the weight and size of the battery in the electric vehicles and increase the battery life time. Wireless charging stations are also an attractive technology for autonomous vehicle charging as they do not need human intervention. Although the design of wireless charging stations has been investigated thoroughly, the cyber-physical security posture of wireless charging stations has remained underexplored. In this paper, we examine the vulnerability of wireless charging stations to cyber-physical attacks by weaponized electric vehicles. In this paper, a weaponized EV is defined as a vehicle intentionally modified with a rogue device connected to its internal communication network capable of injecting falsified information into the electric vehicle communication controller, point-to-point communication channels, and the battery management system. Small-signal modelling is used to study the dynamics of cyber-physical systems in wireless charging, while phasor circuit analysis is used to evaluate the impact of cyber-physical attacks on wireless charging stations. A mitigation strategy is further proposed to improve the resilience of the wireless charging stations to cyber-physical attacks. Time domain simulations are employed to test and verify the analyses and the proposed mitigation strategy.
保护本地无线充电站免受武器化电动汽车的网络物理攻击
无线充电站因能够减轻电动汽车电池的重量和体积,延长电池的使用寿命而备受关注。无线充电站不需要人为干预,也是自动驾驶汽车充电的一项有吸引力的技术。尽管人们对无线充电站的设计已经进行了深入的研究,但对无线充电站的网络物理安全态势的研究仍然不足。在本文中,我们研究了无线充电站对武器化电动汽车的网络物理攻击的脆弱性。在本文中,武器化电动汽车被定义为一种被故意改造的车辆,其内部通信网络连接了一个流氓设备,能够向电动汽车通信控制器、点对点通信通道和电池管理系统注入伪造信息。小信号建模用于研究无线充电网络物理系统的动力学,相量电路分析用于评估网络物理攻击对无线充电站的影响。进一步提出了一种缓解策略,以提高无线充电站对网络物理攻击的恢复能力。时域仿真用于测试和验证分析和提出的缓解策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
5.30%
发文量
45
审稿时长
10 weeks
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