• DocumentCode
    136765
  • Title

    Embedded implementation of SOC estimation based on the Luenberger observer technique

  • Author

    Linfeng Zheng ; Jiuchun Jiang ; Zhanguo Wang ; Ting Zhao ; Tingting He

  • Author_Institution
    Nat. Active Distrib. Network Technol. Res. Center (NANTEC), Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new method of the SOC estimation using the Luenberger observer technique is presented in this paper. The simulation model of the proposed SOC estimation method is modeled in Matlab/Simulink and is generated into code automatically by Matlab/RTW. Then the code is embedded into battery management system (BMS) for SOC estimation. To investigate the feasibility and reliability of the proposed approach, the constant-current constant-voltage (CC-CV) charging test and Beijing dynamic stress test (BJDST) are performed to estimate the SOC. Results show that the proposed approach can accurately estimate the SOC within 2% error, which is adaptable for engineering application.
  • Keywords
    battery management systems; secondary cells; Beijing; Luenberger observer; Matlab; RTW; Simulink; battery management system; constant-current constant-voltage charging test; dynamic stress test; state of charge estimation; Batteries; Integrated circuit modeling; MATLAB; Mathematical model; Observers; System-on-chip; Battery management system; Electrical vehicle; Luenberger observer technique; RTW; 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.2014.6941037
  • Filename
    6941037