Digital twin technology plays a crucial role in advancing intelligent manufacturing and industrial Internet applications, particularly in automotive research, development, manufacturing and services. Creating a digital twin of a vehicle serves as a foundation for implementing this technology in the automotive industry. In the paper, we explore the architecture of a vehicle digital twin system, discuss the construction of physical and virtual entities within it and the connections between them. And then we propose a vehicle digital twin design scheme for anomaly detection in Controller Area Network (CAN). Specifically, we first create a virtual vehicle model and a vehicle powertrain CAN bus model, and then deploy a vehicle digital twin system. During the construction process, Simulink modeling and Simulink/CANoe co-simulation modeling are utilized. Finally, we design an experiment to detect and address various CAN bus attacks to verify the effectiveness of the digital twin system.


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    Title :

    Research on Vehicle Digital Twins Based on Simulink and CANoe


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liu, Weijian (editor) / Wang, Qi (editor) / Feng, Jinchao (editor) / Zhang, Wenli (editor) / Zhang, Yunlai (author) / Qin, Guihe (author) / Liang, Yanhua (author) / Song, Jiaru (author)

    Conference:

    International Conference on Frontiers of Electronics, Information and Computation Technologies ; 2024 ; Beijing, China June 22, 2024 - June 24, 2024



    Publication date :

    2025-05-10


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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