A simple analytical approach to simulate the electrochemical impedance response of flooded agglomerates in polymer fuel cells

Baricci, Andrea; Casalegno, Andrea

doi:10.1016/j.electacta.2015.01.044

Cited by 18 publications

(5 citation statements)

References 24 publications

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“…℘ V = max ?W C;2;⋯;Z [ ℘ ? (8) where ] denotes the number of frequencies at which the impedance was measured. These critical parameters provide an overall assessment of linearity by considering the most unfavorable frequency: the frequency of the EIS spectrum with the highest harmonic content.…”

Section: Linearity Assessment Methodsmentioning

confidence: 99%

“…This feature makes the technique suitable for a large range of applications. This explains why it has been widely used in electrochemical related fields as fuel cells [6][7][8][9][10][11][12], batteries [13][14][15][16][17][18], corrosion [19][20][21][22][23], coatings [24][25][26], electrochemical sensors [27][28] and supercapacitors [29][30][31][32]. This electrochemical technique has also been used in fields that are not traditionally related to electrochemistry as biochemical assays [33][34][35][36], oncology [37][38][39] and immunology [40][41], amongst others.…”

Section: Introductionmentioning

confidence: 99%

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Harmonic analysis based method for linearity assessment and noise quantification in electrochemical impedance spectroscopy measurements: Theoretical formulation and experimental validation for Tafelian systems

Giner-Sanz

Ortega

Pérez-Herranz

2016

Electrochimica Acta

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ElsevierGiner-Sanz, JJ.; Ortega Navarro, EM.; Pérez-Herranz, V. (2016). Harmonic analysis based method for linearity assessment and noise quantification in electrochemical impedance spectroscopy measurements: Theoretical formulation and experimental validation for Tafelian systems. Abstract:Electrochemical Impedance Spectroscopy (EIS) is an electrochemical measurement technique that has been applied to a broad range of applications. Three conditions must be fulfilled in order to obtain valid EIS measurements: causality, linearity and stationarity. The non fulfilment of any of these conditions may lead to distorted and biased EIS spectra. Consequently, the verification of the four fundamental conditions is mandatory before accepting any results extracted from an EIS spectrum. In this work, a harmonic analysis based method for linearity assessment and noise quantification in EIS measurements is presented, and validated both from an experimental point of view and from a theoretical point of view, for Tafelian systems. It was shown that the presented method was able to quantitatively assess the nonlinearity of the system; and to quantify and characterize the noise. Moreover, the presented method is able to determine the threshold frequency of the system above which the system does not present significant nonlinear effects even for very large perturbation amplitudes.

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Section: Linearity Assessment Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Harmonic analysis based method for linearity assessment and noise quantification in electrochemical impedance spectroscopy measurements: Theoretical formulation and experimental validation for Tafelian systems

Giner-Sanz

Ortega

Pérez-Herranz

2016

Electrochimica Acta

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“…This ability of EIS is the responsible that nowadays EIS has become a key experimental method in a large spectrum of fields [4]. This wide range of fields includes typically electrochemistry related fields as fuel cells [5][6][7][8][9][10][11][12], batteries [13][14][15][16][17], coatings [18][19][20], electrochemical sensors [21][22][23][24][25][26] and supercapacitors [27][28][29][30][31]. But it also includes fields not traditionally linked to electrochemistry as enzymatic kinetics [32], biochemistry [33][34][35], food quality control [36], cancer detection [37][38] and immunology [39][40], amongst others.…”

Section: Introductionmentioning

confidence: 99%

Application of a Montecarlo based quantitative Kramers-Kronig test for linearity assessment of EIS measurements

Giner-Sanz

Ortega

Pérez-Herranz

2016

Electrochimica Acta

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Electrochemical Impedance Spectroscopy (EIS) is a very powerful tool to study the behaviour of electrochemical systems. Three conditions must be fulfilled during EIS measurements: causality, linearity, and stability. If any of these conditions is not achieved, then the conclusions obtained from the analysis of the measured spectra may be biased, or even misguided. For this reason, the verification of the compliance of these conditions is critical before accepting any analysis performed on an experimental spectrum. In a previous work, an experimental spectrum quantitative validation technique based on Kramers-Kronig relations was presented. The validation method consists in a Kramers-Kronig (KK) validation test, by equivalent electrical circuit fitting, coupled with a Montecarlo error propagation method. The validation technique builds a consistency region for a given confidence level that allows to discriminate between the individual points of the EIS spectrum that are consistent with the four fundamental hypotheses, and the inconsistent ones. The aim of this work is to validate experimentally if the quantitative validation technique is able to detect nonlinearities. In order to achieve this goal, the EIS spectrum of a markedly nonlinear system was measured experimentally using different perturbation amplitudes. The validation technique was applied to each one of the measured spectra. The method successfully managed to identify large nonlinearities; but did not detect slight ones.

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“…After a pioneering work of Springer et al, 4 a lot of efforts have been done to develop physics-based models for PEMFC impedance. [5][6][7][8][9][10][11][12][13][14][15][16][17][18] However, most of the models assume that the kinetic and through-plane transport parameters are uniform over the cell surface.…”

mentioning

confidence: 99%

A Model for Local Impedance: Validation of the Model for Local Parameters Recovery from a Single Spectrum of PEM Fuel Cell

Reshetenko¹,

Kulikovsky²

2019

J. Electrochem. Soc.

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A physics-based numerical model for fitting local impedance spectra (local impedance model, LIM) of the segmented PEM fuel cell is developed and used to validate our recent model for recovery of local parameters from a single spectrum of the whole cell (cell impedance model, CIM). Shapes of the local parameters along the cathode channel resulting from the two models are compared.Overall, the CIM quite satisfactorily describes the cell local parameters provided that the oxygen transport impedance in the channel is not small as compared to other impedances in the cell.

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A simple analytical approach to simulate the electrochemical impedance response of flooded agglomerates in polymer fuel cells

Cited by 18 publications

References 24 publications

Harmonic analysis based method for linearity assessment and noise quantification in electrochemical impedance spectroscopy measurements: Theoretical formulation and experimental validation for Tafelian systems

Harmonic analysis based method for linearity assessment and noise quantification in electrochemical impedance spectroscopy measurements: Theoretical formulation and experimental validation for Tafelian systems

Application of a Montecarlo based quantitative Kramers-Kronig test for linearity assessment of EIS measurements

A Model for Local Impedance: Validation of the Model for Local Parameters Recovery from a Single Spectrum of PEM Fuel Cell

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