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@ARTICLE{Xu:808741,
      author       = {Xu, Liangfei and Fang, Chuan and Hu, Junming and Cheng,
                      Siliang and Li, Jianqiu and Quyang, Minggao and Lehnert,
                      Werner},
      title        = {{P}arameter extraction of polymer electrolyte membrane fuel
                      cell based on 3 quasi-dynamic model and periphery signals},
      journal      = {Energy},
      volume       = {122},
      issn         = {0360-5442},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2016-02363},
      pages        = {675 - 690},
      year         = {2017},
      abstract     = {It is important to extract parameters of a polymer
                      electrolyte membrane fuel cell (PEMFC) using periphery
                      signals. The main contribution of this work is to introduce
                      a simple yet effective method for parameter-extraction
                      basing on a quasi-dynamic model for a single PEMFC and
                      periphery signals. The model includes filling-and-emptying
                      sub-models, which set up relations between periphery signals
                      and internal states, and a static water transferring
                      sub-model for the membrane. The parameter-extraction method
                      with 5 steps for 9 key parameters is proposed, drawing on
                      experiments and algorithms of nonlinear least square (NLS)
                      and neural networks (NN). Comparison of the identified
                      parameters to data in literature shows that, the results in
                      our study are reasonable.A dynamic experiment is carried out
                      to verify the model. Relative errors within [-5, $5]\%$
                      between simulating and experimental results are observed,
                      showing the effectiveness of the results. Properties of
                      internal states with respect to time and frequency are
                      simulated. A net water transport coefficient β∈[0.13,
                      0.21] is predicted. The normalized transfer functions of
                      small disturbance signals from the cell current to internal
                      states are low-frequency-pass functions. A cutoff frequency
                      (0.0003–0.37 Hz) and a resonating frequency (3.55 Hz),
                      which retain under different operation conditions, is
                      found.},
      cin          = {IEK-3},
      ddc          = {600},
      cid          = {I:(DE-Juel1)IEK-3-20101013},
      pnm          = {135 - Fuel Cells (POF3-135)},
      pid          = {G:(DE-HGF)POF3-135},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000399267100057},
      doi          = {10.1016/j.energy.2017.01.078},
      url          = {https://juser.fz-juelich.de/record/808741},
}