• DocumentCode
    2640435
  • Title

    Detail analysis of RC parallel network-based model for high capacity Lithium Ferro Phosphates battery

  • Author

    Low Wen Yao ; Aziz, J.A. ; Ramli, Nordin

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    RC parallel network-based battery models are popular since they can precisely predict the battery dynamic behaviours including battery relaxation effect. In this paper, the battery model is studied in details. The aim of this paper is to analyse the performances of several RC parallel network-based battery models in high capacity LiFePO4 battery. There are three types of RC parallel network-based battery models used for modelling the high capacity LiFePO4 battery; they are battery model with single RC parallel network, two RC parallel networks and three RC parallel networks. The performances of these RC parallel network-based battery models are discussed in details by comparing the simulated results of the battery models with the experimental data taken from the battery test. In this paper, self-discharging effect, capacity reduction and temperature effect are ignored.
  • Keywords
    RC circuits; cells (electric); iron compounds; lithium; lithium compounds; phosphorus compounds; LiFePO4; RC parallel network-based battery models; battery dynamic behaviours; battery relaxation effect; battery test; capacity reduction; high capacity battery; high capacity lithium ferro phosphates battery; self-discharging effect; temperature effect; Lithium Ferro Phosphates; battery modelling; electrical circuit model; energy storage;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Power Electronics, Machines and Drives (PEMD 2012), 6th IET International Conference on
  • Conference_Location
    Bristol
  • Electronic_ISBN
    978-1-84919-616-1
  • Type

    conf

  • DOI
    10.1049/cp.2012.0340
  • Filename
    6242192