• DocumentCode
    569778
  • Title

    Design of rapid charge system for lithium battery based on TMS320F2407

  • Author

    Li-li, Zhang ; Xue-gang, Hou ; Shun-qiang, Hou ; Hong-yu, Li

  • Author_Institution
    Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    353
  • Lastpage
    357
  • Abstract
    Owing to the characteristics of nonlinear and time varying of different parameters in processing of storage battery charging, in order to realize rapid charge for lithium battery with high efficiency, the idea of charge system for lithium battery based on TMS320F2407 is proposed in this paper. Fuzzy control of recursive neural network based on immune genetic algorithm is adopted, to solve some problems occurred in the rapid charging system. Controlling circuits and corresponding system software are designed. The ability of real-time processing for rapid charge and peripheral function of controller are put into one set, and it is proved that the proposed method is feasible through practical experiment.
  • Keywords
    fuzzy control; genetic algorithms; lithium; neurocontrollers; nonlinear systems; secondary cells; time-varying systems; Li; TMS320F2407; controller peripheral function; controlling circuits; immune genetic algorithm; lithium battery; nonlinear characteristics; rapid charge system design; rapid charging system; recursive neural network fuzzy control; storage battery charging; time varying characteristics; Batteries; Data mining; Electrodes; Genetic algorithms; Lithium; Process control; Voltage control; Fuzzy control; Lithium battery; Rapid charge; TMS320F2407;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-0312-5
  • Type

    conf

  • DOI
    10.1109/INDIN.2012.6301375
  • Filename
    6301375