Investigation of electrode composition of polymer fuel cells by electrochemical impedance spectroscopy

Wagner, Norbert; Kaz, Till; Friedrich, K. Andreas

doi:10.1016/j.electacta.2008.01.084

Cited by 56 publications

(38 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The activation overpotential for O 2 molecules is larger than that for H 2 . Previous studies have estimated the binding energies of O 2 and H 2 to be 5.115 eV (493.5 kJ/mol) and 4.478 eV (432.1 kJ/mol) [14], respectively. This difference in binding energies explains the difference in the activation energies for dissociating these molecules.…”

Section: International Journal Of Chemical Engineering and Applicatiomentioning

confidence: 99%

“…Therefore, such an energy conversion system is expected to be used as efficient power sources in the near future. Many experimental and theoretical studies have been conducted on PEFCs with the aim of developing them for practical applications [1], [2]. On the other hand, several problems have remained to be solved, including overpotential at high-load operation, humidification, and the need to achieve efficient activation of H 2 and O 2 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Theoretical Model of Overpotential at Interfaces in Polymer Electrolyte Fuel Cells

Doi¹,

Hashizume²,

Kawano³

2015

IJCEA

View full text Add to dashboard Cite

Section: International Journal Of Chemical Engineering and Applicatiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Theoretical Model of Overpotential at Interfaces in Polymer Electrolyte Fuel Cells

Doi¹,

Hashizume²,

Kawano³

2015

IJCEA

View full text Add to dashboard Cite

“…Yuan et al [1] reported EIS has already become a primary tool in PEMFC research. EIS method is also used effectively for analyses of the amount of catalysts [2][3][4][5], nafion content [3,[6][7][8], membrane thickness [9,10], GDL structure [11][12][13][14][15][16][17][18][19], proton conductivity [20][21][22][23][24][25][26], humidification condition [3,9,[27][28][29][30] and stack [24,[31][32][33][34][35][36]. For example, Paganin et al [2] and Song et al [3] suggested that charge transfer resistance is much smaller with increasing amount of catalysts.…”

Section: Page 3 Of 34mentioning

confidence: 99%

Evaluation of polymer electrolyte membrane fuel cells by electrochemical impedance spectroscopy under different operation conditions and corrosion

Kumagai¹,

Ichikawa

Yashiro

2010

Journal of Power Sources

View full text Add to dashboard Cite

Electrochemical impedance spectroscopy (EIS) was employed for in situ diagnosis for polymer electrolyte membrane fuel cells during operation. First, EIS was measured as a function of operation parameters such as applied current density, gas flow rates and gas humidification temperature. The resistance that correlated with conductivity of the membrane and the contact resistance between bipolar plate and gas A c c e p t e d M a n u s c r i p t 2 diffusion layer (GDL) was set as R m in the assumed equivalent circuit. The charge transfer resistances were considered for cathode (R ct (C)). The value of R ct (C) was sensitive to the parameters that affected cell voltage. Additionally, the diffusion resistance (R d ) was ascribed to the effect of oxygen supply and drainage of generated water. Second, the influence of corrosion of type 430 stainless steel bipolar plates was evaluated by EIS method during operation. Corrosion of the stainless steel bipolar plates resulted in an increase in the value of R d .

show abstract

“…All these data are crucial in order to tackle some of the most challenging actual issues of fuel cells, such as membrane drying and gas diffusion layer flooding [6,7]. For this reason, EIS has widely been applied for membrane electrode assembly optimization [8][9][10][11][12][13]; operation conditions optimization [14,15]; degradation studies [16,17]; control [18] and diagnosis [19][20]. The technique has been applied both, to fuel cell single cells [20][21][22][23][24] and to fuel cell stacks [19,25].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the electrochemical impedance spectroscopy measurement parameters for PEM fuel cell spectrum determination

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). Optimization of the electrochemical impedance spectroscopy measurement parameters for PEM fuel cell spectrum determination. Electrochimica Acta. 174:1290Acta. 174: -1298Acta. 174: . doi:10.1016Acta. 174: /j.electacta.2015 Optimization of the electrochemical impedance spectroscopy measurement parameters for PEM fuel cell spectrum determination Keywords: Electrochemical Impedance Spectroscopy; measurement parameters; optimization; factorial experimental design; PEMFC. AbstractCurrently, electrochemical Impedance Spectroscopy (EIS) is a widely used tool for the study of electrochemical systems, in general; and fuel cells, in particular. A great effort is typically invested in the analysis of the obtained spectra; whereas, little time is usually spent optimizing the measurement parameters used to obtain these spectra. In general, the default settings provided by the control software used to perform the measurements, or the parameters used in similar systems available in literature, are selected to carry out the measurements. The goal of this work is to determine the optimal measurement parameters for obtaining impedance spectra of a commercial PEM fuel cell. In order to achieve this, a 2 5 factorial design was considered. Five factors were considered, the five impedance spectroscopy measurement parameters: maximum integration time; minimum number of integration cycles; number of stabilization cycles; maximum stabilization time; and minimum cycle fraction. For each factor combination envisaged in the experimental design, the cell spectrum was obtained in given operation conditions, for which the reference spectrum of the system was known, since it had been determined in previous works. The experimentally obtained spectra were fitted to the reference electric equivalent circuit. The mean square error between the experimental data fitting and the reference spectrum fitting was determined in each case, and was used as the dependant variable for the experimental design analysis. An analysis of the variance was performed in order to determine which measurement parameters have a significant effect on the dependant variable; and a model relating the dependant variable and the measurement parameters was built. This model was used in order to obtain the optimal value of each one of the measurement parameters that minimized the mean square error of the fit obtained from the experimental data with respect to the reference fit.

show abstract

Investigation of electrode composition of polymer fuel cells by electrochemical impedance spectroscopy

Cited by 56 publications

References 7 publications

A Theoretical Model of Overpotential at Interfaces in Polymer Electrolyte Fuel Cells

A Theoretical Model of Overpotential at Interfaces in Polymer Electrolyte Fuel Cells

Evaluation of polymer electrolyte membrane fuel cells by electrochemical impedance spectroscopy under different operation conditions and corrosion

Optimization of the electrochemical impedance spectroscopy measurement parameters for PEM fuel cell spectrum determination

Contact Info

Product

Resources

About