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Online Estimation of Membrane Water Content in Vehicular PEMFC by Complex Morlet Wavelet Transformations
ISSN: 0148-7191, e-ISSN: 2688-3627
Published September 15, 2020 by SAE International in United States
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The amount of water content in membrane electrode assembly (MEA) is an important factor affecting the efficiency and life of proton exchange membrane fuel cell (PEMFC), and there are several methods to measure it. However, it’s widely believed that the most feasible method to measure the water content in the MEA is an indirect way as described below: measure the electrochemical impedance spectroscopy (EIS), and take advantage of the positive correlation between the proton’s conductivity, which is reciprocal of specific resistance, and the water content in MEA. The traditional EIS measurement method has the shortcoming of high cost and slow speed, especially in low frequency bands, so this method is unsuitable for high-power vehicle fuel cell systems. In this paper, a measuring method which does not require a large number of experiments and only need to perform Morlet wavelet transform on the PEMFC voltage signal as well as current signal is proposed. The EIS of PEMFC is exactly the quotient obtained by dividing the voltage wavelet coefficient by the current wavelet coefficient. This measuring method is firstly verified in by simulation in a PEMFC equivalent circuit model established on the MATLAB/Simulink platform and then is tested in a commercial fuel cell simulation platform. The simulation results show that the EIS measured by wavelet transform is very close to the theoretical value and can effectively determine the level of water content in the proton exchange membrane in the current state. This positive result can be further applied to the dynamic control of water balance in automotive fuel cell systems.
CitationJin, J., Su, Z., Wei, Y., and Lin, S., "Online Estimation of Membrane Water Content in Vehicular PEMFC by Complex Morlet Wavelet Transformations," SAE Technical Paper 2020-01-2255, 2020, https://doi.org/10.4271/2020-01-2255.
- Larminie, J., Dicks, A., and McDonald, M.S., Fuel Cell Systems Explained. Vol. 2 (Chichester, UK: J. Wiley, 2003).
- Priya, K., Sathishkumar, K., and Rajasekar, N., “A Comprehensive Review on Parameter Estimation Techniques for Proton Exchange Membrane Fuel Cell Modelling,” Renewable and Sustainable Energy Reviews 93:121-144, 2018.
- Andersson, M., Beale, S.B., Espinoza, M., Wu, Z. et al., “A Review of Cell-Scale Multiphase Flow Modeling, Including Water Management, in Polymer Electrolyte Fuel Cells,” Applied Energy 180(15):757-778, 2016.
- Jiao, K., and Li, X., “Water Transport in Polymer Electrolyte Membrane Fuel Cells,” Progress in Energy and Combustion Science 37(3):221-291, 2011.
- Shen, J., Xu, L., Chang, H., Tu, Z. et al., “Partial Flooding and Its Effect on the Performance of a Proton Exchange Membrane Fuel Cell,” Energy Conversion and Management 207:112537, 2020.
- Ous, T., and Arcoumanis, C., “Degradation Aspects of Water Formation and Transport in Proton Exchange Membrane Fuel Cell: A Review,” Journal of Power Sources 240:558-582, 2013.
- Satija, R., Jacobson, D., Arif, M., and Werner, S., “In Situ Neutron Imaging Technique for Evaluation of Water Management Systems in Operating PEM Fuel Cells,” Journal of Power Sources 129(2):238-245, 2004.
- Feindel, K.W., LaRocque, L.P., Starke, D., Bergens, S.H. et al., “In Situ Observations of Water Production and Distribution in an Operating H2/O2 PEM Fuel Cell Assembly Using 1H NMR Microscopy,” Journal of the American Chemical Society 126(37):11436-11437, 2004.
- Springer, T.E., Wilson, M.S., and Gottesfeld, S., “Modeling and Experimental Diagnostics in Polymer Electrolyte Fuel Cells,” Journal of the Electrochemical Society 140(12):3513-3526, 1993.
- Gómez-Luna, E., Cuartas-Bermúdez, J.S., and Marlés-Sáenz, E., “Obtaining the Electrical Impedance Phase Using Wavelet Transform and Fourier Transform from Transient Signals. Part 2: Practical Assessment and Validation,” Dyna 85(205):105-110, 2018.
- Itagaki, M., Ueno, M., Hoshi, Y., and Shitanda, I., “Simultaneous Determination of Electrochemical Impedance of Lithium-Ion Rechargeable Batteries with Measurement of Charge-Discharge Curves by Wavelet Transformation,” Electrochimica Acta 235:384-389, 2017.
- Hoshi, Y., Yakabe, N., Isobe, K., Saito, T. et al., “Wavelet Transformation to Determine Impedance Spectra of Lithium-Ion Rechargeable Battery,” Journal of Power Sources 315:351-358, 2016.
- Lin, J., and Qu, L., “Feature Extraction Based on Morlet Wavelet and Its Application for Mechanical Fault Diagnosis,” Journal of Sound and Vibration 234(1):135-148, 2000.
- Zhou, S., Zheng, S., and Hu, Z., “Proton Exchange Membrane Fuel Cell Fault Rapid Diagnosis Method Based on Electrochemical Impedance Spectroscopy and Fuzzy c-Means Algorithm,” SAE Technical Paper 2019-01-5032, 2019, doi:https://doi.org/10.4271/2019-01-5032.