• DocumentCode
    2246523
  • Title

    Research on PEMFC fractional model based on an improved genetic algorithm

  • Author

    Juan, Bian Hui ; Dong, Qi Zhi ; Yuan, Xu Sheng ; Yang, Leng Bo ; Liang, Shan

  • Author_Institution
    Nanjing University of Science & Technology, Nanjing, Jiangsu, China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    2028
  • Lastpage
    2032
  • Abstract
    There exists a non-integer order phenomenon in the actual dynamic PEMFC system. However, the current mathematical models are mostly proposed with integer-order modeling method. Aiming at the fractional characteristic in the diffusion process of the hydrogen flow at PEMFC anode, a new PEMFC fractional model is set up in this paper, in which the hydrogen flow and pressure is described by a non-integer order formula. Then, an improved GA is also carried out to identify the unknown parameters of the model, where the crossover and mutation probabilities are adaptively adjusted. The simulation results show that the identification method used in this paper is effective and the model is closer to the actual operating condition of the stack.
  • Keywords
    Fuel cells; Genetic algorithms; Hydrogen; Load modeling; Mathematical model; Sociology; Statistics; Fractional order Model; Improved Genetic Algorithm; PEMFC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7259943
  • Filename
    7259943