Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

作     者：Ben Lakhal, Nadhir Mansour Nasri, Othman Adouane, Lounis Hadj Slama, Jaleleddine Ben 

作者机构：Clermont Auvergne Univ UCA SIGMA UMR CNRS 6602 Inst Pascal F-63178 Aubiere France Univ Sousse Natl Engn Sch Sousse ENISo LATIS Lab BP 264 Sousse Erriadh 1023 Tunisia Univ Technol Compiegne CNRS Heudiasyc UMR 7253 F-60203 Compiegne France 

出 版 物：《IET INTELLIGENT TRANSPORT SYSTEMS》 (IET Intel. Transport Syst.)

年 卷 期：2020年第14卷第13期

页      面：1727-1739页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0823[工学-交通运输工程] 

基　　金：WOW (Wide Open to the World) program [CAP 20-25] IMobS3 Laboratory of Excellence [ANR-10-LABX-16-01] 

主　　题：automotive electronics fault diagnosis controller area networks reliability embedded systems hardware-in-the loop simulation CAD controller area network reliability design challenges safety transportation systems in-vehicular networked control system intra-vehicle communication intelligent navigation CAN expanding complexity in-vehicle system reliability automated vehicles fault diagnosis performances system-level diagnosis strategies automotive embedded networks CAN reliability engineering issues automotive validation techniques computer-aided-design tools in-vehicular network life cycle intelligent transportation system in-vehicular communication embedded processes hardware in the loop real-time analysis 

摘      要：The in-vehicular networked control system is among the most critical embedded processes. The controller area network (CAN) has prevailed intra-vehicle communication for decades. Meanwhile, requirements of future transportation systems are expected to emphasise the in-vehicle communication complexity, which endangers the reliability/safety of the intelligent navigation. At first, this study reviews the recent solutions proposed to overcome the CAN expanding complexity. Challenges that tomorrow s intelligent vehicles may raise for CAN reliability are investigated. The comprehensive coverage of current research efforts to remove the impact of these challenges is presented. Further, the in-vehicle system reliability of future automated vehicles is also related to the fault diagnosis performances. Hence, different classes of system-level diagnosis strategies are compared relatively to the requirements of automotive embedded networks. Furthermore, to thoroughly cover CAN reliability engineering issues, focus is given to the automotive validation techniques. The hardware in the loop, real-time analysis and computer-aided-design tools intervene in various phases along the in-vehicular network life cycle. Parameters that stand behind the efficiency and accuracy of these techniques in validating the new generation of vehicles are analysed. The authors finally draw some deductive predictions about the future directions related to the reliability of the intelligent transportation system in-vehicular communication.