• DocumentCode
    184305
  • Title

    Dual Kalman filter-based SoC/SoH estimator for an ultracapacitor module

  • Author

    Pavkovic, Danijel ; Smetko, Viktor ; Hrgetic, Mario ; Komljenovic, Ante

  • Author_Institution
    Fac. of Mech. Eng. & Naval Archit., Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1783
  • Lastpage
    1788
  • Abstract
    This paper presents the design of a dual adaptive Kalman-filter-based state and parameter estimator of an ultracapacitor module suitable for state-of-charge (SoC) and state-of-health (SoH) estimation purposes. A lumped-parameter resistive-capacitive (RC) electrical circuit representation has been used in the design of both estimators. In the case of state estimator a second-order disturbance model has been used for charge balancing current modeling purposes, while in the case of parameter estimator, a time series model of ultracapacitor is extended with a generalized disturbance model describing balancing current effects. The effectiveness of the dual Kalman filter-based SoC/SoH estimator has been verified by means of computer simulations and experimentally on the dedicated ultracapacitor test setup.
  • Keywords
    adaptive Kalman filters; lumped parameter networks; parameter estimation; supercapacitors; time series; charge balancing current modeling; dual adaptive Kalman filter-based SoC estimator; dual adaptive Kalman filter-based SoH estimator; lumped-parameter RC electrical circuit representation; lumped-parameter resistive-capacitive electrical circuit representation; second-order disturbance model; state of charge parameter estimation; state of health parameter estimation; time series model; ultracapacitor module; Capacitance; Integrated circuit modeling; Kalman filters; Mathematical model; Resistance; Supercapacitors; System-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2014 IEEE Conference on
  • Conference_Location
    Juan Les Antibes
  • Type

    conf

  • DOI
    10.1109/CCA.2014.6981571
  • Filename
    6981571