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BY 4.0 license Open Access Published by De Gruyter Open Access March 20, 2020

Noise identification based on spectral analysis and noisy transfer function approach for fuel cells

  • Tahir Cetin Akinci EMAIL logo , Serhat Seker , Erkan Dursun and Osman Kilic
From the journal Noise Mapping


In this study, some measurements like the current, voltage and hydrogen flow based on the fuel cell are investigated in spectral-domain as well as their time-domain representations and then, their spectral properties are extracted. Besides this, taking the simplified transfer function approach into account, which is defined between the hydrogen flow and current of the cell as an input-output pair, more detailed results are obtained. Therefore, the spectral parts of the fuel cell are put into categories under the impacts coming from the process, measurement circuits and digitizers. The process noise to be defined at very small frequencies (<15 Hz) can be explained as the effects of the various physical and chemical interactions emerging in the fuel cell. Moreover, this study analysed the spectral characteristics of fuel cells for current, voltage and hydrogen flow in detail.


[1] Araya S.S, Zhou F., Sahlin S.L, Thomas S., Jeppesen C., Kćr S.K., Fault characterization of a proton exchange membrane fuel cell stack, Energies, MDPI, 2019, 12(152), 1-17.10.3390/en12010152Search in Google Scholar

[2] Astafev E., Frequency characteristics of hydrogen-air fuel cell electrochemical noise, Fuel Cell, Wiley-Vch Verlag, 2018, 18(6), 755-762.10.1002/fuce.201800102Search in Google Scholar

[3] Barbir F., PEM fuel cells: theory and practice, 2005, Elsevier Academic Press, London, UK.Search in Google Scholar

[4] EG & G Technic Services, Fuel Cell Hand Book, 7th Ed., 2004 in Google Scholar

[5] Funk J.E., Thermochemical hydrogen production: past and present, Int. J. Hydr. Energy, 2001, 26(3), 185-190.10.1016/S0360-3199(00)00062-8Search in Google Scholar

[6] Hydrogen & Fuel Cell, Review of national R&D program, 2004, OECD/IEA.Search in Google Scholar

[7] Instructor Training System - Fuel cell store, Experiments guide and components description for the Hy-Expert™, 5th Edition, 2011, in Google Scholar

[8] Kaytakoğlu S., Akyalçın L., Optimization of parametric performance of a PEMFC. Int. J. Hydr. Energy, 2007, 32(17), 4418-4423.10.1016/j.ijhydene.2007.06.025Search in Google Scholar

[9] Knights S.K., Colbow K., St-Pierre J., Wilkinson D., (2004), Aging mechanisms and lifetime of PEFC and DMFC, J. Power Sources, 2004, 127(1-2), 127-134.10.1016/j.jpowsour.2003.09.033Search in Google Scholar

[10] Larminie J., Dicks A., Fuel cell systems explained, Second ed., 2003, Wiley and Sons, England.10.1002/9781118878330Search in Google Scholar

[11] Luo Z., Li D., Tang H., Pan M., Ruan R., Degradation behaviour of membrane-electrode-assembly materials in 10-cell PEMFC stack, Int. J. Hydr. Energy, 2006, 31(13), 1831-1837.10.1016/j.ijhydene.2006.02.029Search in Google Scholar

[12] Miege A., Steffena F., Luschtinetza T., Jakubith S., Freitag M., Real time water detection for adaptive control strategy in pemfc-systems, Energy Procedia, 2012, 29, 431-437.10.1016/j.egypro.2012.09.050Search in Google Scholar

[13] Schimmel H.G., Towards a hydrogen-driven society?, 2004, DUP Science, Netherlands.Search in Google Scholar

[14] Spiegel C., PEM fuel cell modeling and simulation using MATLAB, 2018, Elsevier Inc.Search in Google Scholar

[15] Waller L., Kim J., Shao-Horn Y., Barbastathis G., Interferometric tomography of fuel cells for monitoring membrane water content, Optics, 2009, 17(17), 14806-14816.10.1364/OE.17.014806Search in Google Scholar

[16] Le A.D., Zhou B., A Numerical Investigation on multi-phase transport phenomena in a proton exchange membrane fuel cell stack, J. Power Sources, 2010, 195(16), 5278-5291.10.1016/j.jpowsour.2010.03.014Search in Google Scholar

[17] LaConti A., Hamilton M., McDonald R., Handbook of Fuel Cells-Fundamentals. Technology and Applications, 2003, Wiley.Search in Google Scholar

[18] St-Pierre J., PEMFC in Situ liquid water content monitoring status, J. Electrochem. Soc., 2007, 154(7), B724-B731.10.1149/1.2737542Search in Google Scholar

[19] Taskin S., Seker S., Karahan M., Akinci T.C., Spectral analysis for current and temperature measurements in power cables, Electric Power Compon. Syst., 2009, 37(4), 415-426.10.1080/15325000802548889Search in Google Scholar

[20] Waller L., Kim J., Shao-Horn Y., Barbastathis G., Interferometric tomography of fuel cells for monitoring membrane water content, Optics Express, 2009, 17(17), 14806-14816.10.1364/OE.17.014806Search in Google Scholar PubMed

[21] Wan Z., Chang H., Shu S., Wang Y., Tang H., A review on cold start of proton exchange membrane fuel cells, Energies, 2014, 7(5), 3179-3203.10.3390/en7053179Search in Google Scholar

[22] Witkowska A., Principi E., Di Cicco A., Marassi R., Advanced XAS analysis for investigating fuel cell electrocatalysts, XAFS13: 13th Int. Conf. (9-14 July 2006, Stanford, California), CA, USA.10.1063/1.2644632Search in Google Scholar

[23] Vaseghi S.V., Advanced signal processing and digital noise reduction, 1996, John Wiley & Sons Inc.10.1007/978-3-322-92773-6Search in Google Scholar

[24] Veziroğlu T.N., Barbir F., Emerging Technology Series - Hydrogen Energy Technologies, 1998, UNIDO, Vienna.Search in Google Scholar

[25] Zhao H., Burke A.F., Optimization of fuel cell system operating conditions for fuel cell vehicles, J. Power Sources, 2009, 186(2), 408-416.10.1016/j.jpowsour.2008.10.032Search in Google Scholar

Received: 2019-11-23
Accepted: 2020-02-25
Published Online: 2020-03-20

© 2020 Tahir Cetin Akinci et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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