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Trust and security of electric vehicle-to-grid systems and hardware supply chains

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  • Moghadasi, Negin
  • Collier, Zachary A.
  • Koch, Andrew
  • Slutzky, David L.
  • Polmateer, Thomas L.
  • Manasco, Mark C.
  • Lambert, James H.

Abstract

Future electric vehicles and associated vehicle-to-grid (V2G) infrastructure, including vehicle charging stations and network communications, face a variety of cybersecurity threats. The threats include disruptions of the supply chains and operations of the embedded hardware devices of these systems. Systemic and principled approaches are needed in which the security and trust relationships among V2G systems, charger systems, and communications networks are characterized. Furthermore, there is a need for guidance in allocating resources to improve system security, resilience, and trust. Thus, this paper develops a framework to address the emergent and future conditions that are most disruptive to the security of the embedded devices of fleet electric-vehicle (EV) chargers and their networks. The innovation of this paper is to account for hybrid cybersecurity threats to the interests of system owners, operators, and users, addressing scenario-based preferences for rapidly advancing technologies. There is a demonstration with fleet electric vehicles providing logistics services, shared bidirectional chargers, and communications infrastructure.

Suggested Citation

  • Moghadasi, Negin & Collier, Zachary A. & Koch, Andrew & Slutzky, David L. & Polmateer, Thomas L. & Manasco, Mark C. & Lambert, James H., 2022. "Trust and security of electric vehicle-to-grid systems and hardware supply chains," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    • Handle: RePEc:eee:reensy:v:225:y:2022:i:c:s0951832022002125
    DOI: 10.1016/j.ress.2022.108565
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    2. Md. Rayid Hasan Mojumder & Fahmida Ahmed Antara & Md. Hasanuzzaman & Basem Alamri & Mohammad Alsharef, 2022. "Electric Vehicle-to-Grid (V2G) Technologies: Impact on the Power Grid and Battery," Sustainability, MDPI, vol. 14(21), pages 1-53, October.
    3. Wang, Ning & Xiao, Yiyong & Tian, Tianzi & Yang, Jun, 2023. "The optimal 5G base station location of the wireless sensor network considering timely reliability," Reliability Engineering and System Safety, Elsevier, vol. 236(C).

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