• DocumentCode
    136614
  • Title

    The research on battery SOC estimation within colored noise

  • Author

    Lianbo Du ; Ximing Cheng

  • Author_Institution
    Nat. Eng. Lab. for Electr. Vehicles, Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In electric vehicles, the colored noise signal in current measurement could cause the battery SOC estimation inaccurate and divergent. In order to solve this problem, our authors used the colored noise as the state variables for Kalman filtering algorithm to reduce influences on the SOC estimation accuracy. Experimental results showed that the filtering method used in this paper could improve the accuracy for battery SOC estimation on the colored noise impacts.
  • Keywords
    Kalman filters; electric current measurement; electric vehicles; noise; secondary cells; Kalman filtering algorithm; SOC estimation accuracy; battery SOC estimation; colored noise signal; current measurement; electric vehicles; filtering method; state of charge; Batteries; Colored noise; Electric vehicles; Estimation; Kalman filters; Mathematical model; System-on-chip; Colored noise; Electric vehicles; Kalman filter; Lithium-ion battery; SOC estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6940885
  • Filename
    6940885