Electrochemical Impedance Spectroscopy in PEM Fuel Cells

Yuan, Xiao‐Zi; Song, Chaojie; Wang, Haijiang; Zhang, Jiujun

doi:10.1007/978-1-84882-846-9

Cited by 308 publications

(309 citation statements)

References 0 publications

Supporting

Mentioning

297

Contrasting

Unclassified

Order By: Relevance

“…On the other hand, the linearity assessment using Lissajous figures is a qualitative method: it allows detecting nonlinearities in a qualitative way, but does not allow quantifying the nonlinearity level. Furthermore, while the distortion of Lissajous figures associated to severe nonlinearities is easily recognizable; the distortion due to low and moderate nonlinearities is not so clear, and its identification can be subjected to the subjectivity of the person analysing the figure [41]. For these reasons, the use of Lissajous figures for linearity assessment should be reserved for an auxiliary experimental validation method only.…”

Section: Introductionmentioning

confidence: 99%

Total harmonic distortion based method for linearity assessment in electrochemical systems in the context of EIS

Giner-Sanz

Ortega

Pérez-Herranz

2015

Electrochimica Acta

View full text Add to dashboard Cite

ElsevierGiner Sanz, JJ.; Ortega Navarro, EM.; Pérez-Herranz, V. (2015). Total harmonic distortion based method for linearity assessment in electrochemical systems in the context of EIS. Electrochimica Acta. 186:598-612. doi:10.1016Acta. 186:598-612. doi:10. /j.electacta.2015 Electrochemical Impedance Spectroscopy (EIS) is a widely used electrochemical measurement technique that has been used in a great spectrum of fields since it allows deconvolving the individual physic-chemical processes that take place in a given system. Ohm's generalized law, and thus the impedance concept, are only valid if 4 conditions are fulfilled: causality, finiteness, stationarity and linearity. In the case that any of these conditions is not achieved, the obtained impedance spectra will present distortions that may lead to biased or even erroneous results and conclusions. For this reason it is crucial to verify if the 4 conditions are fulfilled, before accepting the results extracted from impedance spectra. In this work, a linearity assessment quantitative method based in the total harmonic distortion (THD) parameter is presented and verified experimentally. The experimental validation of the implemented method showed that the implemented method is able to assess quantitatively the linearity of the system. In addition, it is also able to determine the threshold frequency above which the system will not present significant nonlinear effects even for large perturbation amplitudes. It was observed that the THD method is more sensitive to nonlinear effects than the spectra themselves.

show abstract

Section: Introductionmentioning

confidence: 99%

Total harmonic distortion based method for linearity assessment in electrochemical systems in the context of EIS

Giner-Sanz

Ortega

Pérez-Herranz

2015

Electrochimica Acta

View full text Add to dashboard Cite

show abstract

“…Our next focus on understanding EIS is the data plotted after the On the left side, the model with the results. On the right side, the electrical circuit from literature [8] There are two common impedance spectra plot which are Bode plot and Nyquist plot. Bode plot is where the amplitude and phase of the impedance obtained is plotted against frequency, while the Nyquist plot is where the imaginary part of the impedance is plotted against its real part for each frequency.…”

Section: A the Eis Methodsmentioning

confidence: 99%

“…Conclusion on the fuel cell behavior can be drawn by analysis of the plotted data. Nyquist plot have its own parts where we could focus on to study the behavior of the fuel cell [8].…”

Section: A the Eis Methodsmentioning

confidence: 99%

Impedance Spectrometer Modelling in Matlab/Simulink for Measuring the Complex Impedance of a Fuel Cell –EIS Method

Jamaluddin¹,

Chrenko²,

Rouane³

2013

JOCET

View full text Add to dashboard Cite

Abstract-On the track of achieving the best fuel cell technology for the future, electrochemical impedance spectroscopy (EIS) is known to be the best tool so far in the field of diagnostic and understanding the behaviour of fuel cell. EIS is defined by the concept of measuring complex impedance and has a proper procedure to execute the diagnosis; it is a very strong tool to be carried out for PEM fuel cell because it give a lot of information about it. EIS measurement is developed and been carried out using a lot of software and programs. The modelling of EIS after having the complex measurement results from the diagnosis is a customary thing to do. This paper presents a novel method of EIS modelling using Matlab/Simulink. The concept of how EIS modelling works inside Matlab/Simulink and how the model is validated by experiments done before is explained inside the paper.

show abstract

“…Using the impedance expressions for resistors and capacitors, and the impedance combination rules [51], the following expressions were obtained for the…”

Section: Circuit Fittingmentioning

confidence: 99%

Montecarlo based quantitative Kramers–Kronig test for PEMFC impedance spectrum validation

Giner-Sanz

Ortega

Pérez-Herranz

2015

International Journal of Hydrogen Energy

View full text Add to dashboard Cite

Electrochemical Impedance Spectroscopy (EIS) is a very powerful tool to study the behaviour of electrochemical systems. At present, it is widely used in the fuel cell field in order to study challenging cutting edge issues as membrane drying or gas diffusion layer flooding amongst others. The proper analysis of impedance data requires the fulfilment of four fundamental conditions: causality, linearity, stability and finiteness. The non compliance with any of these conditions may lead to biased, or even misguided, conclusions. Therefore it is critical to verify the compliance of these conditions before accepting any analysis performed on an experimental spectrum. This is even more important in a fuel cell experimental spectrum analysis, since fuel cells are markedly non stationary systems. The aim of this work is to establish an impedance spectrum quantitative validation technique to validate the whole experimental spectrum and to identify the individual points within a spectrum that do not comply any of the four conditions, in order to remove these inconsistent points from the analysis. The designed validation method consists in a Kramers-Kronig (KK) validation test, by equivalent electrical circuit fitting, coupled with a Montecarlo error propagation method. In a first step, the experimental spectrum is fitted to a particular electrical equivalent circuit, which satisfies the KK relations. Then, in a second step, a statistical Montecarlo method is used in order to propagate the model fitting parameter uncertainty through the model. Using this approach, a consistency region is built for a given confidence level: the experimental points inside this region are considered consistent for the given confidence level, whereas the outside points are rejected. The method was used on PEMFC experimental impedance spectra; and it successfully managed to identify inconsistent points, associated to no stationarities.2

show abstract

Electrochemical Impedance Spectroscopy in PEM Fuel Cells

Cited by 308 publications

References 0 publications

Total harmonic distortion based method for linearity assessment in electrochemical systems in the context of EIS

Total harmonic distortion based method for linearity assessment in electrochemical systems in the context of EIS

Impedance Spectrometer Modelling in Matlab/Simulink for Measuring the Complex Impedance of a Fuel Cell –EIS Method

Montecarlo based quantitative Kramers–Kronig test for PEMFC impedance spectrum validation

Contact Info

Product

Resources

About