• DocumentCode
    1360751
  • Title

    Battery-Management System (BMS) and SOC Development for Electrical Vehicles

  • Author

    Cheng, K.W.E. ; Divakar, B.P. ; Wu, Hongjie ; Ding, Kai ; Ho, Ho Fai

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon, China
  • Volume
    60
  • Issue
    1
  • fYear
    2011
  • Firstpage
    76
  • Lastpage
    88
  • Abstract
    Battery monitoring is vital for most electric vehicles (EVs), because the safety, operation, and even the life of the passenger depends on the battery system. This attribute is exactly the major function of the battery-management system (BMS)-to check and control the status of battery within their specified safe operating conditions. In this paper, a typical BMS block diagram has been proposed using various functional blocks. The state of charge (SOC) estimation has been implemented using Coulomb counting and open-circuit voltage methods, thereby eliminating the limitation of the stand-alone Coulomb counting method. By modeling the battery with SOC as one of the state variables, SOC can be estimated, which is further corrected by the Kalman filtering method. The battery parameters from experimental results are integrated in the model, and simulation results are validated by experiment.
  • Keywords
    Kalman filters; battery management systems; electric vehicles; power filters; Kalman filtering method; battery monitoring; battery-management system; electrical vehicles; open-circuit voltage methods; stand-alone Coulomb counting method; state of charge development; typical BMS block diagram; Batteries; Discharges; Equations; Estimation; Mathematical model; System-on-a-chip; Temperature measurement; Battery-management system (BMS); electric vehicles (EVs); state of charge (SOC);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2010.2089647
  • Filename
    5609223