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JIANG Lu,LI Qi,CHEN Weirong,YU Jin,LIU Jiawei.Research on Parameter Identification of Third-order RQ Equivalent Circuit of PEMFC Based on Nelder-Mead Optimization[J].JOURNAL OF POWER SUPPLY,2019,17(2):12-18,25
Research on Parameter Identification of Third-order RQ Equivalent Circuit of PEMFC Based on Nelder-Mead Optimization
Received:November 27, 2018  Revised:February 15, 2019
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DOI:10.13234/j.issn.2095-2805.2019.2.12
Keywords:equivalent circuit  AC impedance spectrum  parameter identification  Nelder-Mead optimization method
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JIANG Lu School of Electrical Engineering, Southwest Jiaotong University, Chengdu , China
LI Qi School of Electrical Engineering, Southwest Jiaotong University, Chengdu , China liqi0800@163.com
CHEN Weirong School of Electrical Engineering, Southwest Jiaotong University, Chengdu , China
YU Jin School of Electrical Engineering, Southwest Jiaotong University, Chengdu , China
LIU Jiawei School of Electrical Engineering, Southwest Jiaotong University, Chengdu , China
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Abstract:
      An accurate and effective equivalent circuit of fuel cell helps to analyze the internal working conditions of the fuel cell and ensure the stable and reliable operation of the fuel cell system. Aiming at the problem that the internal working state of the fuel cell cannot be accurately monitored by sensors, a parameter identification method for the third-order RQ equivalent circuit of proton exchange membrane fuel cell(PEMFC) was proposed based on the Nelder-Mead optimization algorithm. According to the working principle of the battery, a third-order RQ nonlinear equivalent circuit model was established. The model parameters and the actual physical meaning were combined to establish the weighted objective functions of the real and imaginary parts in the complex domain. Finally, parameter identification was carried out based on an electrochemical AC impedance spectroscopy experiment. Research results showed that under the same initial conditions, the Nelder-Mead optimization algorithm was equivalent to the least squares method in terms of accuracy and speed, but its anti-interference capability was stronger; compared with the genetic algorithm, its accuracy was comparable but its speed was higher, thus it can be used for the online parameter identification of fuel cell.
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