On-Demand Triple Modular Redundancy for Automotive Applications

被引:0
|
作者
Stoffel, Martin [1 ]
Schindewolf, Marc [2 ]
Sax, Eric [2 ]
机构
[1] Torc Europe GmbH, ECUs & Middleware Engn, Stuttgart, Germany
[2] Karlsruhe Inst Technol, Inst Techn Informationsverarbeitung, Karlsruhe, Germany
关键词
Automotive; E/E architecture; SOA; software engineering; reconfiguration; model-driven software engineering; safety; software product lines; ISO26262;
D O I
10.1109/SysCon61195.2024.10553499
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The vast majority of the automation of driving functions within automotive vehicles is currently not exceeding the sole assistance of a driver. Assistance means, that in the event of a malfunction, the human driver has to take over the driving task manually again. While for most of the existing driver assistant systems this fail over has to take place immediately, even recently launched highly automated driving systems, such as the drive pilot of Mercedes-Benz in 2018, still require the human driver to take over within a couple of seconds in the event of a fault. Therefore, the human driver is used as fall-back for a system up to Level 3 according to the SAE J3016 standard, which is not possible for vehicles where there is no driver anymore. Accordingly, Autonomous Vehicles (AVs) as described in Level4 and Level5 in the standard need both, high reliability by minimizing the amount of faults and high availability by still being operational, even in the event of a fault. The same requirement is relevant in the avionic industry, and it is solved with a high amount of redundancy of the safety critical systems. While this works for big airplanes, automobiles are restricted regarding geometric limitation, power consumption limitation and cost limitation. This work contains an early indication of the realization of a fail-operational E/E-Architecture with a minimal amount of redundant components. This is possible by the usage of a modern service-oriented Architecture (SOA) in combination with modern ECUs.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Triple modular redundancy with standby (TMRSB) supporting dynamic resource reconfiguration
    Zhang, Kening
    Bedette, Guy
    DeMara, Ronald F.
    [J]. 2006 IEEE AUTOTESTCON, VOLS 1 AND 2, 2006, : 663 - 669
  • [42] Area Estimation for Triple Modular Redundancy Field Programmable Gate Arrays
    He, Hongjie
    Guo, Baolong
    Yan, Yunyi
    [J]. INTELLIGENT DATA ANALYSIS AND APPLICATIONS, (ECC 2016), 2017, 535 : 249 - 256
  • [43] Modeling Common Cause Failures in Systems with Triple Modular Redundancy and Repair
    Cannon, Matthew J.
    Keller, Andrew M.
    Perez-Celis, Andres
    Wirthlin, Michael J.
    [J]. 2020 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2020), 2020,
  • [44] Probability based partial triple modular redundancy technique for reconfigurable architectures
    Baloch, S.
    Arslan, T.
    Stoica, A.
    [J]. 2006 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2006, : 2946 - +
  • [45] Design and Reliability Analysis of Emergency Trip System with Triple Modular Redundancy
    Zou, Jian-xiao
    Xu, Hong-bing
    [J]. 2009 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLUMES I & II: COMMUNICATIONS, NETWORKS AND SIGNAL PROCESSING, VOL I/ELECTRONIC DEVICES, CIRUITS AND SYSTEMS, VOL II, 2009, : 1006 - 1009
  • [46] Modified triple modular redundancy structure based on asynchronous circuit technique
    Rui, Gong
    Wei, Chen
    Fang, Liu
    Kui, Dai
    Wang Zhiying
    [J]. 21ST IEEE INTERNATIONAL SYMPOSIUM ON DEFECT AND FAULT-TOLERANCE IN VLSI SYSTEMS, PROCEEDINGS, 2006, : 184 - +
  • [47] Time Multiplexed Triple Modular Redundancy for Single Event Upset Mitigation
    She, Xiaoxuan
    McElvain, K. S.
    [J]. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2009, 56 (04) : 2443 - 2448
  • [48] Modular Multilevel Inverter: A Study for Automotive Applications
    Bhattacharya, Subhadeep
    Mascarella, Diego
    Joos, Geza
    [J]. 2013 26TH ANNUAL IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2013, : 203 - 208
  • [49] On-Demand Redundancy Grouping: Selectable Soft-Error Tolerance for a Multicore Cluster
    Rogenmoser, Michael
    Wistoff, Nils
    Vogel, Pirmin
    Gurkaynak, Frank
    Benini, Luca
    [J]. 2022 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI 2022), 2022, : 398 - 401
  • [50] Towards an On-Demand Redundancy Concept for Autonomous Vehicle Functions using Microservice Architecture
    Liu, Bo
    Betancourt, Victor Pazmino
    Zhu, Yimeng
    Becker, Juergen
    [J]. 2020 6TH IEEE INTERNATIONAL SYMPOSIUM ON SYSTEMS ENGINEERING (IEEE ISSE 2020), 2020,