• DocumentCode
    725630
  • Title

    Multiple cell lithium-ion battery system electric fault online diagnostics

  • Author

    Bing Xia ; Mi, Chris ; Zheng Chen ; Robert, Brian

  • Author_Institution
    Univ. of Michigan Dearborn, Dearborn, MI, USA
  • fYear
    2015
  • fDate
    14-17 June 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper introduces an integrated online electrical safety diagnostic algorithm for lithium-ion battery systems, which includes the detection of over charge, over discharge, external short circuit and internal short circuit faults. Experiments were conducted for each fault and the safety criteria, presented by a combination of voltage, current and temperature, were built according to empirical results. Based on the criteria, an integrated electrical fault diagnostic algorithm is proposed. Experimental results show that the proposed algorithm is effective and robust at detecting and distinguishing electric faults for multiple cell battery arrangements online.
  • Keywords
    electrical safety; fault currents; fault diagnosis; reliability; secondary cells; short-circuit currents; external short-circuit faults; integrated online electrical safety diagnostic algorithm; internal short-circuit faults; multiple cell lithium-ion battery system electric fault online diagnostics; over charge detection; over discharge detection; Discharges (electric); Levee; external short circuit; fault diagnostic; internal short circuit; over charge; over discharge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Conference and Expo (ITEC), 2015 IEEE
  • Conference_Location
    Dearborn, MI
  • Type

    conf

  • DOI
    10.1109/ITEC.2015.7165777
  • Filename
    7165777