Validation of a methodology for determining the PEM fuel cell complex impedance modelling parameters

Bouaicha, Arafet; Allagui, Hatem; Rouane, Amar; Mami, Abdelkader

doi:10.1016/j.ijhydene.2017.01.114

Cited by 12 publications

(3 citation statements)

References 26 publications

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“…There are several models to analyze the response to the EIS tests, however the most widely model used is the one related to equivalent circuits ( 23)- (24). The model for the current study is the so-called Randle circuit model, which consists of an electrical resistance connected in series (Rs) with a parallel circuit (Rct -Cdl) in an electrochemical half-cell.…”

Section: Equivalent Circuit Modelmentioning

confidence: 99%

Temperature Impact on the Internal Resistance of a Polymer Electrolyte Fuel Cell Considering the Electrochemical Impedance Spectroscopy Diagnosis

et al. 2020

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A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts the chemical energy presents in the hydrogen into electricity and heat having as by product only water. The energy conversion process is carried out in a clean and noiseless manner. Depending on the applications, a PEFC works at different operating temperature. In this study, the internal resistance of a PEFC is evaluated by using Electrochemical Impedance Spectroscopy (EIS) at moderate low current density, i.e., 0.5 A/cm2, in the temperature range of 40 – 80°C. The evaluation is carried out considering frequencies between 3.1kHz and 1Hz. An equivalent Randle circuit is considered as adjusted model and the Nyquist and Bode diagram were obtained to analyze the internal resistance. Results show that the ohmic resistance and charge transport increase when the operating temperature is low, decreasing the cell performance. A voltage drop of 42 mV was obtained for the evaluated temperature sweep. At the same time, it was demonstrated that the double layer capacitance increases at high temperatures, increasing its operating performance.

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Section: Equivalent Circuit Modelmentioning

confidence: 99%

Temperature Impact on the Internal Resistance of a Polymer Electrolyte Fuel Cell Considering the Electrochemical Impedance Spectroscopy Diagnosis

et al. 2020

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“…There are several models to analyze the response to the EIS tests, however the most widely model used is the one related to equivalent circuits [13] [14]. The model for the current study is the so-called Randle, which consists of an electrical resistance connected in series (R s) with a parallel circuit (R ct -Cdl) in an electrochemical half-cell.…”

Section: Mathematical Modelmentioning

confidence: 99%

Temperature Impact on the Internal Resistance of a PEFC Considering the Electrochemical Impedance Spectroscopy

Jordy¹,

Santana²,

Villón³

et al. 2020

Preprint

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“…Recently, numerous research papers have been focusing on developing different approaches to approximate the FC characteristic curves using analytical and meta-heuristic techniques, instead of using conventional analytical methods or meta-heuristic optimization algorithms, both in non-parameter [17] and parameter modelling [18]. Among the accepted empirical scientific methods, the electrochemical impedance spectrum method, combined with broadband current excitation [19], least square method adapted to fractional order models [20], semi-empirical model [21], generalized reduced gradient technique (GRG-1, GRG-2) [22], Gauss-Newton [23], Levenberg-Marquardt [23], and least square fitting [24]. However, such analytical methods are based on complex operations.…”

Section: Introductionmentioning

confidence: 99%

Fuel Cell Characteristic Curve Approximation Using the Bézier Curve Technique

2020

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Accurate modelling of the fuel cell characteristics curve is essential for the simulation analysis, control management, performance evaluation, and fault detection of fuel cell power systems. However, the big challenge in fuel cell modelling is the multi-variable complexity of the characteristic curves. In this paper, we propose the implementation of a computer graphic technique called Bézier curve to approximate the characteristics curves of the fuel cell. Four different case studies are examined as follows: Ballard Systems, Horizon H-12 W stack, NedStackPS6, and 250 W proton exchange membrane fuel cells (PEMFC). The main objective is to minimize the absolute errors between experimental and calculated data by using the control points of the Bernstein–Bézier function and de Casteljau’s algorithm. The application of this technique entails subdividing the fuel cell curve to some segments, where each segment is approximated by a Bézier curve so that the approximation error is minimized. Further, the performance and accuracy of the proposed techniques are compared with recent results obtained by different metaheuristic algorithms and analytical methods. The comparison is carried out in terms of various statistical error indicators, such as Individual Absolute Error (IAE), Relative Error (RE), Root Mean Square Error (RMSE), Mean Bias Errors (MBE), and Autocorrelation Function (ACF). The results obtained by the Bézier curve technique show an excellent agreement with experimental data and are more accurate than those obtained by other comparative techniques.

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Validation of a methodology for determining the PEM fuel cell complex impedance modelling parameters

Cited by 12 publications

References 26 publications

Temperature Impact on the Internal Resistance of a Polymer Electrolyte Fuel Cell Considering the Electrochemical Impedance Spectroscopy Diagnosis

Temperature Impact on the Internal Resistance of a Polymer Electrolyte Fuel Cell Considering the Electrochemical Impedance Spectroscopy Diagnosis

Temperature Impact on the Internal Resistance of a PEFC Considering the Electrochemical Impedance Spectroscopy

Fuel Cell Characteristic Curve Approximation Using the Bézier Curve Technique

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