TY - GEN
T1 - Real time intelligent data processing algorithm for cyber resilient electric vehicle onboard chargers
AU - Dey, Saikat
AU - Chandwani, Ashwin
AU - Mallik, Ayan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/21
Y1 - 2021/6/21
N2 - This paper analyzes the impacts of various data integrity based cyber attacks on power electronic hardware present in electric vehicle (EV) chargers and proposes an universally applicable hardware-based countermeasure algorithm to protect the onboard charging (OBC) systems. The effectiveness of the proposed defense mechanism is comprehensively analyzed by testing the system against several recurring cyberattack triggered faults in the OBC. To evaluate the impact of various cyberattacks on the system, two different power electronic topologies of EV OBC are taken into consideration. Further on, single phase and three phase charger topologies are simulated in MATLAB/Simulink to comprehend the impact of various faults occuring as a result of different data integrity attack scenarios, and to validate the effectiveness of the proposed algorithm. Quantitative analysis of the results demonstrates that the proposed intelligent data processing algorithm, implemented in the charger's main controller, can be effectively used with different charging architectures / topologies proving its universal application against cyberattacks on the OBC systems.
AB - This paper analyzes the impacts of various data integrity based cyber attacks on power electronic hardware present in electric vehicle (EV) chargers and proposes an universally applicable hardware-based countermeasure algorithm to protect the onboard charging (OBC) systems. The effectiveness of the proposed defense mechanism is comprehensively analyzed by testing the system against several recurring cyberattack triggered faults in the OBC. To evaluate the impact of various cyberattacks on the system, two different power electronic topologies of EV OBC are taken into consideration. Further on, single phase and three phase charger topologies are simulated in MATLAB/Simulink to comprehend the impact of various faults occuring as a result of different data integrity attack scenarios, and to validate the effectiveness of the proposed algorithm. Quantitative analysis of the results demonstrates that the proposed intelligent data processing algorithm, implemented in the charger's main controller, can be effectively used with different charging architectures / topologies proving its universal application against cyberattacks on the OBC systems.
UR - http://www.scopus.com/inward/record.url?scp=85114476254&partnerID=8YFLogxK
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U2 - 10.1109/ITEC51675.2021.9490067
DO - 10.1109/ITEC51675.2021.9490067
M3 - Conference contribution
AN - SCOPUS:85114476254
T3 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
SP - 1
EP - 6
BT - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
Y2 - 21 June 2021 through 25 June 2021
ER -