• DocumentCode
    51131
  • Title

    State of Charge Imbalance Estimation for Battery Strings Under Reduced Voltage Sensing

  • Author

    Xinfan Lin ; Stefanopoulou, Anna G. ; Yonghua Li ; Anderson, R. Dyche

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • Volume
    23
  • Issue
    3
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    1052
  • Lastpage
    1062
  • Abstract
    Reducing voltage sensing in a battery pack is beneficial for cutting the cost of the battery management system. In this paper, a methodology is designed to estimate the states of charge (SOC) of two cells connected in series when only their total voltage is measured. First, the feasibility is analyzed based on the nonlinear observability of the two-cell string under reduced voltage sensing. Furthermore, observability analysis is performed to different battery chemistries to determine their respective observable SOC ranges based on the voltage-SOC relationship. A trajectory-based nonlinear observer, the Newton observer, is then designed for SOC estimation and has been validated by experiments. The limitation of extending the method to strings with more than two cells is also discussed. The methodology is initially designed under the assumption of equal and known capacity and resistance among cells. The robustness of estimation is finally investigated when the above assumptions do not hold.
  • Keywords
    Newton method; battery management systems; electric sensing devices; observability; observers; secondary cells; voltage measurement; Newton observer; SOC; battery management system; battery string; nonlinear observability analysis; reduced voltage sensing; state of charge imbalance estimation; trajectory-based nonlinear observer; two-cell string; voltage measurement; Batteries; Estimation; Observability; Sensors; System-on-chip; Trajectory; Voltage measurement; Battery control; observability; reduced voltage sensing; state estimation; state estimation.;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2014.2360919
  • Filename
    6963490