• DocumentCode
    1706567
  • Title

    Modeling and identification of Li-ion battery based on electrochemical dynamics

  • Author

    Gu Jinbai ; Zheng Kai ; Cheng Lin ; Lin Jin

  • Author_Institution
    Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China
  • fYear
    2013
  • Firstpage
    1757
  • Lastpage
    1761
  • Abstract
    An electrochemical dynamical model of Li-ion battery system is proposed based on its internal electrochemical process and mass transferring. The model shows the internal connection of the states of the Li-ion battery system. With the assumption of the constant electrolyte concentration, the dynamical model is simplified and discretized such that an identification algorithm based on the least square estimation method is proposed to estimate the main parameters of the Li-ion battery systems. Simulation results verify the proposed identification algorithm.
  • Keywords
    electrochemistry; electrolytes; identification; least squares approximations; secondary cells; Li-ion battery system; electrochemical dynamical model; electrolyte concentration; internal electrochemical process; least square estimation method; mass transferring; Batteries; Educational institutions; Electrodes; Electronic mail; Estimation; Heuristic algorithms; Lithium; Electrochemical model; Identification; Least square method; Li-ion battery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6639711