• DocumentCode
    271884
  • Title

    Advanced diagnosis: SBST and BIST integration in automotive E/E architectures

  • Author

    Reimann, Felix ; Glass, Michael ; Cook, Alan ; Rodríguez Gómez, Laura ; Teich, Jurgen ; Ull, Dominik ; Wunderlich, H.-J. ; Abelein, Ulrich ; Engelke, P.

  • Author_Institution
    Univ. of Erlangen-Nuremberg, Erlangen, Germany
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The constantly growing amount of semiconductors in automotive systems increases the number of possible defect mechanisms, and therefore raises also the effort to maintain a sufficient level of quality and reliability. A promising solution to this problem is the on-line application of structural tests in key components, typically ECUs. In this work, an approach for the optimized integration of both Software-Based Self-Tests (SBST) and Built-In Self-Tests (BIST) into E/E architectures is presented. The approach integrates the execution of the tests non-intrusively, i. e., it (a) does not affect functional applications and (b) does not require costly changes in the communication schedules or additional communication overhead. Via design space exploration, optimized implementations with respect to multiple conflicting objectives, i. e., monetary costs, safety, test quality, and required execution time are derived.
  • Keywords
    automotive electronics; built-in self test; computerised monitoring; nondestructive testing; semiconductor device reliability; BIST integration; ECU; SBST integration; automotive E/E architectures; automotive systems; built-in self-tests; design space exploration; software-based self-tests; structural tests; Automotive engineering; Built-in self-test; Hardware; Logic gates; Optimization; Safety; System-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1145/2593069.2602971
  • Filename
    6881423