• DocumentCode
    3546067
  • Title

    Research upon the submarine high-capacity lead-acid battery discharge characteristic model

  • Author

    Yang, Kun ; Ouyang, Guangyao ; Zhang, Jingqiu

  • Author_Institution
    Power Eng. Dept., Naval Univ. of Eng., Wuhan, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    Long-playing, the simulation of the high-capacity lead-acid battery is very difficult. Basing on the particular research upon the characteristic of the submarine battery discharge process, at the same time in view of the electrochemistry mechanism complexity of the lead-acid battery, a new algorithm which is the integration of the improved BP neural network algorithm by adding the item of the momentum and the golden cut algorithm is brought forward in the paper to solve the problem of the submarine battery discharge process modeling, in succession the model is consummated by additional research on the battery state of charge parameter. Simulation results show that the model can be commendably used in engineering practice, thus the building method of the battery discharge model also provides us a new effective approach for the simulation of the highly complex electrochemistry process, and it also establishes a foundation for the integration simulation of the whole submarine power system.
  • Keywords
    backpropagation; battery powered vehicles; electrochemistry; lead acid batteries; neural nets; power engineering computing; underwater vehicles; BP neural network algorithm; charge parameter; electrochemistry mechanism; electrochemistry process; golden cut algorithm; submarine high-capacity lead-acid battery discharge; submarine power system; Battery charge measurement; Fault location; Instruments; Neural networks; Power engineering and energy; Power measurement; Power system modeling; Power system simulation; Underwater vehicles; Voltage; eural network; golden cut algorithm; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274709
  • Filename
    5274709