A Comparative Study of Equivalent Circuit Models for Electro-Chemical Impedance Spectroscopy Analysis of Proton Exchange Membrane Fuel Cells

• Published in: Energies (Basel) Vol. 15; no. 1; p. 386
• Main Authors: Zhao, Lei, Dai, Haifeng, Pei, Fenglai, Ming, Pingwen, Wei, Xuezhe, Zhou, Jiangdong
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2022
• Subjects: Accuracy; Carbon; Comparative studies; comparative study; Diagnosis; Electrochemical impedance spectroscopy; Electrochemistry; Energy; equivalent circuit model; Equivalent circuits; Fault diagnosis; Fuel cells; Fuel technology; Goodness of fit; Humidity; Impedance; Inlet pressure; Model accuracy; proton exchange membrane fuel cell; Proton exchange membrane fuel cells; Spectroscopy; Spectrum analysis; Stoichiometry; Working conditions
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en15010386

Electrochemical impedance spectroscopy is one of the important tools for the performance analysis and diagnosis of proton exchange membrane fuel cells. The equivalent circuit model is an effective method for electrochemical impedance spectroscopy resolution. In this paper, four typical equivalent circuit models are selected to comprehensively compare and analyze the difference in the fitting results of the models for the electrochemical impedance spectroscopy under different working conditions (inlet pressure, stoichiometry, and humidity) from the perspective of the fitting accuracy, change trend of the model parameters, and the goodness of fit. The results show that the fitting accuracy of the model with the Warburg element is the best for all under each working condition. When considering the goodness of fit, the model with constant phase components is the best choice for fitting electrochemical impedance spectroscopy under different inlet pressure and air stoichiometry. However, under different air humidity, the model with the Warburg element is best. This work can help to promote the development of internal state analysis, estimation, and diagnosis of the fuel cell based on the equivalent circuit modeling of electrochemical impedance spectroscopy.