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

Autor: Lounis Adouane, Jaleleddine Ben Hadj Slama, Othman Nasri, Nadhir Mansour Ben Lakhal
Přispěvatelé: Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Institut Pascal (IP), SIGMA Clermont (SIGMA Clermont)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Computer science
Automotive industry
Transportation
010501 environmental sciences
01 natural sciences
CAN bus
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
[SPI.AUTO]Engineering Sciences [physics]/Automatic
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering
11. Sustainability
0502 economics and business
[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]
[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
Communication complexity
Intelligent transportation system
Reliability (statistics)
ComputingMilieux_MISCELLANEOUS
0105 earth and related environmental sciences
General Environmental Science
050210 logistics & transportation
business.industry
Mechanical Engineering
05 social sciences
Hardware-in-the-loop simulation
Networked control system
Automotive electronics
13. Climate action
Systems engineering
business
Law
Zdroj: IET Intelligent Transport Systems
IET Intelligent Transport Systems, In press, 14 (13), pp.1727-1739. ⟨10.1049/iet-its.2019.0565⟩
DOI: 10.1049/iet-its.2019.0565⟩
Popis: 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.
Databáze: OpenAIRE