TY - GEN
T1 - Service-Oriented Vehicle Diagnostics by Integrating DDS and DoIP
AU - Cha, Sung Keun
AU - Oh, Sung Bhin
AU - Do, Young Soo
AU - Choi, Hyeok Jun
AU - Lim, Seong Hyeon
AU - Jeon, Jae Wook
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This study proposes a novel architecture that combines Data Distribution Service (DDS) and Diagnosis over IP (DoIP) to realize a service-based diagnostic system in a Software Defined Vehicle (SDV) environment. In existing vehicle diagnostic systems, controller diagnosis is only possible through physical access (CAN, LIN, FlexRay). Still, the proposed system is designed to enable remote diagnosis by combining the publisher-subscriber model of DDS with the DoIP protocol. The experimental environment utilized two NXP S32G boards, one as a DDS publisher (sending diagnostic data) and the other as a DDS subscriber (receiving diagnostic data) validated the DoIP packets in real time using CANoe tools. In particular, DoIP message transmission using the multicast method confirmed that efficient data delivery is possible even in zonal architecture, the future vehicle architecture. This study demonstrated the technical feasibility of providing diagnostic services without a physical connection, which has the potential to be extended to over-the-air (OTA) updates, predictive maintenance, and edge computing-based diagnostic systems in the future.
AB - This study proposes a novel architecture that combines Data Distribution Service (DDS) and Diagnosis over IP (DoIP) to realize a service-based diagnostic system in a Software Defined Vehicle (SDV) environment. In existing vehicle diagnostic systems, controller diagnosis is only possible through physical access (CAN, LIN, FlexRay). Still, the proposed system is designed to enable remote diagnosis by combining the publisher-subscriber model of DDS with the DoIP protocol. The experimental environment utilized two NXP S32G boards, one as a DDS publisher (sending diagnostic data) and the other as a DDS subscriber (receiving diagnostic data) validated the DoIP packets in real time using CANoe tools. In particular, DoIP message transmission using the multicast method confirmed that efficient data delivery is possible even in zonal architecture, the future vehicle architecture. This study demonstrated the technical feasibility of providing diagnostic services without a physical connection, which has the potential to be extended to over-the-air (OTA) updates, predictive maintenance, and edge computing-based diagnostic systems in the future.
KW - DDS(Data Distribution Service)
KW - DoIP(Diagnosis over Internet Protocol)
KW - SDV(Software Defined Vehicle)
KW - Vehicle Diagnostic
UR - https://www.scopus.com/pages/publications/105016395310
U2 - 10.1109/ITC-CSCC66376.2025.11137625
DO - 10.1109/ITC-CSCC66376.2025.11137625
M3 - Conference contribution
AN - SCOPUS:105016395310
T3 - 2025 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2025
BT - 2025 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2025
Y2 - 7 July 2025 through 10 July 2025
ER -