Proton exchange membrane fuel cell diagnosis by spectral characterization of the electrochemical noise
| Autor: | R. Maizia, A. Thomas, Serguei Martemianov, A. Dib |
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| Rok vydání: | 2017 |
| Předmět: |
Spectral signature
Renewable Energy Sustainability and the Environment Chemistry 020209 energy Fast Fourier transform Analytical chemistry Energy Engineering and Power Technology Spectral density Proton exchange membrane fuel cell 02 engineering and technology Low frequency 021001 nanoscience & nanotechnology Signal Electrochemical noise Range (aeronautics) 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Physical and Theoretical Chemistry 0210 nano-technology |
| Zdroj: | Journal of Power Sources. 342:553-561 |
| ISSN: | 0378-7753 |
| DOI: | 10.1016/j.jpowsour.2016.12.053 |
| Popis: | Electrochemical noise analysis (ENA) has been performed for the diagnosis of proton-exchange membrane fuel cell (PEMFC) under various operating conditions. Its interest is related with the possibility of a non-invasive on-line diagnosis of a commercial fuel cell. A methodology of spectral analysis has been developed and an evaluation of the stationarity of the signal has been proposed. It has been revealed that the spectral signature of fuel cell, is a linear slope with a fractional power dependence 1/fα where α = 2 for different relative humidities and current densities. Experimental results reveal that the electrochemical noise is sensitive to the water management, especially under dry conditions. At RHH2 = 20% and RHair = 20%, spectral analysis shows a three linear slopes signature on the spectrum at low frequency range (f < 100 Hz). This results indicates that power spectral density, calculated thanks to FFT, can be used for the detection of an incorrect fuel cell water balance. |
| Databáze: | OpenAIRE |
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