• DocumentCode
    1855604
  • Title

    Vehicle Design Validation via Remote Vehicle Diagnosis: A feasibility study on battery management system

  • Author

    Zhang, Yilu ; Gantt, Gary W., Jr. ; Rychlinski, Mark ; Edwards, Ryan ; Correia, John ; Wolf, Calvin

  • Author_Institution
    GM R&D & Planning, Gen. Motors Corp., Warren, MI
  • fYear
    2008
  • fDate
    6-9 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In recent years, passenger vehicle product development faces great challenges to maintain high vehicle quality due to the proliferation of Electronics, Control and Software (ECS) features and the resultant system complexity. Quickly detecting and trouble-shooting faults of integrated vehicle systems during the validation stage in a key to enhancing vehicle quality. In this paper, we present a feasibilty study of Vehicle Design Validation via Remote Vehicle Diagnosis (VDV-via-RVD) and its application in the validation of vehicle battery management system. After the discussion of the advantages and challenges of VDV-via-RVD, some preliminary experimental results are presented to demonstrate the concept.
  • Keywords
    automotive electronics; battery management systems; vehicles; battery management system; feasibility study; remote vehicle diagnosis; vehicle design validation; Application software; Battery management systems; Battery powered vehicles; Control systems; Face detection; Fault detection; Product development; Software maintenance; Software quality; Vehicle detection; anomaly detection; battery management system; fault isolation; remote vehicle diagniosis; vehicle design validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management, 2008. PHM 2008. International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4244-1935-7
  • Electronic_ISBN
    978-1-4244-1936-4
  • Type

    conf

  • DOI
    10.1109/PHM.2008.4711431
  • Filename
    4711431