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Статті в журналах з теми "Fuel cell diagnostics, impedance spectroscopy"
Piela, Piotr, Robert Fields, and Piotr Zelenay. "Electrochemical Impedance Spectroscopy for Direct Methanol Fuel Cell Diagnostics." Journal of The Electrochemical Society 153, no. 10 (2006): A1902. http://dx.doi.org/10.1149/1.2266623.
Повний текст джерелаCaponetto, Riccardo, Fabio Matera, Emanuele Murgano, Emanuela Privitera, and Maria Gabriella Xibilia. "Fuel Cell Fractional-Order Model via Electrochemical Impedance Spectroscopy." Fractal and Fractional 5, no. 1 (March 6, 2021): 21. http://dx.doi.org/10.3390/fractalfract5010021.
Повний текст джерелаHalvorsen, Ivar J., Ivan Pivac, Dario Bezmalinović, Frano Barbir, and Federico Zenith. "Electrochemical low-frequency impedance spectroscopy algorithm for diagnostics of PEM fuel cell degradation." International Journal of Hydrogen Energy 45, no. 2 (January 2020): 1325–34. http://dx.doi.org/10.1016/j.ijhydene.2019.04.004.
Повний текст джерелаLe, G. T., L. Mastropasqua, J. Brouwer, and S. B. Adler. "Simulation-Informed Machine Learning Diagnostics of Solid Oxide Fuel Cell Stack with Electrochemical Impedance Spectroscopy." Journal of The Electrochemical Society 169, no. 3 (March 1, 2022): 034530. http://dx.doi.org/10.1149/1945-7111/ac59f4.
Повний текст джерелаSun, Ying, Thomas Kadyk, Andrei Kulikovsky, and Michael Eikerling. "(Digital Presentation) Concentration Admittance Spectroscopy for Oxygen Transport Diagnostics in Polymer Electrolyte Fuel Cells." ECS Meeting Abstracts MA2022-02, no. 39 (October 9, 2022): 1401. http://dx.doi.org/10.1149/ma2022-02391401mtgabs.
Повний текст джерелаPivac, Ivan, Dario Bezmalinović, and Frano Barbir. "Catalyst degradation diagnostics of proton exchange membrane fuel cells using electrochemical impedance spectroscopy." International Journal of Hydrogen Energy 43, no. 29 (July 2018): 13512–20. http://dx.doi.org/10.1016/j.ijhydene.2018.05.095.
Повний текст джерелаLe, Giang Tra, Luca Mastropasqua, Stuart B. Adler, and Jack Brouwer. "Operando Diagnostics of Solid Oxide Fuel Cell Stack Via Electrochemical Impedance Spectroscopy Simulation-Informed Machine Learning." ECS Meeting Abstracts MA2021-03, no. 1 (July 23, 2021): 38. http://dx.doi.org/10.1149/ma2021-03138mtgabs.
Повний текст джерелаLe, Giang Tra, Luca Mastropasqua, Stuart B. Adler, and Jack Brouwer. "Operando Diagnostics of Solid Oxide Fuel Cell Stack Via Electrochemical Impedance Spectroscopy Simulation-Informed Machine Learning." ECS Transactions 103, no. 1 (July 9, 2021): 1201–11. http://dx.doi.org/10.1149/10301.1201ecst.
Повний текст джерелаKahia, Hichem, Saadi Aicha, Djamel Herbadji, Abderrahmane Herbadji, and Said Bedda. "Neural Network based Diagnostic of PEM Fuel Cell." Journal of New Materials for Electrochemical Systems 23, no. 4 (December 31, 2020): 225–34. http://dx.doi.org/10.14447/jnmes.v23i4.a02.
Повний текст джерелаZhang, Qingxin, Hooman Homayouni, Byron D. Gates, Michael H. Eikerling, and Amir M. Niroumand. "Electrochemical Pressure Impedance Spectroscopy for Polymer Electrolyte Fuel Cells via Back-Pressure Control." Journal of The Electrochemical Society 169, no. 4 (April 1, 2022): 044510. http://dx.doi.org/10.1149/1945-7111/ac6326.
Повний текст джерелаДисертації з теми "Fuel cell diagnostics, impedance spectroscopy"
Valenzuela, Jorge Ignacio. "Electrochemical impedance spectroscopy options for proton exchange membrane fuel cell diagnostics." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/266.
Повний текст джерелаPhlippoteau, Vincent. "Outils et Méthodes pour le diagnostic d’un état de santé d’une pile à combustible." Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT013H/document.
Повний текст джерелаA fuel cell system transforms the fuel energy into electricity and heat with electrochemical reaction. There are many kinds of fuel cells and we study here the Proton Exchange Fuelcell (PEMFC), which operates between 50°C and 100°C. At the moment, main issues are fuel cells’ life time and its management. Multiple problems can occur such as drying or flooding due to water management, poisoning with impurities in gas, internal deterioration, etc. The objective of this thesis is to define and carry out experimental and analysing methods to characterize these problems. These experimental methods use electrical perturbation and measurements of their effects. Impedance Spectroscopy is part of these methods, but is greatly improved for instable system (patent). We used two types of tests: low amplitude signal, which can be performed during normal operation of the fuel cell, and large amplitude signal which have a strong impact on the fuel cell response. These tests are complementary and are able to evaluate the state of health of the fuel cell. The analysing process of these measurements is ameliorated, in order to improve the uniqueness of the results. At the end, some problems are generated (drying, flooding, etc) and these methods are performed to follow the variation of performance and determine which parameter is involved with the deterioration
Jullian, Gauthier. "Diagnostic robuste de pile à combustible PEM par modélisation physique et mesures d’impédance : prise en compte de conditions dynamiques et du vieillissement." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT009/document.
Повний текст джерелаThe PEMFC fuel cell is an electrochemical generator that has interesting potential for automotive applications and which use could help to meet pollution challenges. Poor management of system auxiliaries or malfunctions can place the fuel cell under operating conditions that accelerate degradation processes and shorten its useful life. The- operating conditions of the fuel cell core (temperature, humidity and partial pressures) must be monitored to identify as soon as possible and without any error abnormal situations, which is particularly difficult in dynamic operating conditions and during ageing.The aim of this thesis is to provide solutions to this problem. To that end, a robust diagnostic approach of operating conditions without direct measurement, in a dynamic environment and taking ageing into account has been developed.In order to characterize the fuel cell, a campaign of experimental tests on a test bench was carried out during 1000 hours of operation, with and without faults. This test campaign also allowed to verify to what extent the easily accessible polarization curves and impedance spectroscopy depend on the internal operating conditions.The approach developed is based on one hand on the use of a physical fuel cell model that capture its behaviour for given operating conditions and on the other hand on easy-access current, voltage and impedance measurements. Thus, this allows the development of an embedded solution that minimizes the number of sensors required.The differences between the experimental measurements and the outputs computed by the physical fuel cell model – called residuals – are indicators which are sensitive to faults in operating conditions, and insensitive to usual operating dynamic conditions. Two residuals, generated from fuel cell output voltage and high frequency impedance, are used to detect abnormal operating conditions thanks to threshold detection. The choice of the detection threshold levels allows to set the detection performance in terms of good detection and false alarm probabilities.In order to take ageing into account, a degradation module computes the decrease of fuel cell voltage with time so that ageing is taken explicitly into account by residuals.Going beyond detection alone, a method to class the operating conditions faults has also been proposed. It uses a database of residuals from various known faults to train a K-nearest-neighbour classifier, so that faults can be identified and classified.The model developed in the CEA was compared with experiments carried out on the test bench. An experimental determination of the model constants was carried out using electrochemical methods (cyclic voltammetry...) and numerical ones (linear regression). It appears that the model correctly computes voltage and high-frequency impedance, confirming the possible use of this specific model for diagnostic purpose. The method has been tested with optimal thresholds that have been empirically determined. The detection score obtained is 80%. The false alarm rate is less than 5% during the test.The K-NN classifier was then validated on experimental data. The classification score during the 1000h test is around 60% with large disparities depending on the faults. This score is more than 99% for two of the studied faults (high pressures and low humidity), 63% for low pressures but only 20% for a temperature drop or humidity increase.This work concluded that the approach using a physical model diagnosed most faults with a low level of false alarms during 1000 hours of ageing. The search of new measurements to increase the score of poorly diagnosed faults thus improving diagnostic performance is a main perspective
Safa, Mohamad. "Modélisation réduite de la pile à combustible en vue de la surveillance et du diagnostic par spectroscopie d'impédance." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00855160.
Повний текст джерелаCoignet, Philippe. "Transport-reaction modeling of the impedance response of a fuel cell." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0526104-151500/.
Повний текст джерелаAaron, Douglas Scott. "Transport in fuel cells: electrochemical impedance spectroscopy and neutron imaging studies." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34699.
Повний текст джерелаAabid, Sami El. "Méthode basée modèle pour le diagnostic de l'état de santé d'une pile à combustible PEMFC en vue de sa maintenance." Thesis, Toulouse, INPT, 2020. http://www.theses.fr/2020INPT0011.
Повний текст джерелаNowadays, Fuel cells (FCs) are considered as an attractive technological solution for energy storage. In addition to their high efficiency conversion to electrical energy and their high energy density, FCs are a potential candidate to reduce the environmental impact of aircrafts. The present PhD thesis can be located within this context, and especially contributes to the development of methodologies dedicated to the monitoring of the state of health (SoH) of Proton Exchange Membrane Fuel Cells (PEMFCs). FCs are submitted to ageing and various operating conditions leading to several failures or abnormal operation modes. Hence, there is a need to develop tools dedicated to the diagnosis and fuel cell ageing monitoring. One of reliable approaches used for the FC SoH monitoring is based on parametric identification of a model through experimental data. Widely used for the FC characterization, the polarization curve (V-I) and the Electrochemical Impedance Spectroscopy (EIS) coupled with a model describing the involved phenomena may provide further information about the FC SoH. Two models were thus developed: a quasi-static model whose parameters are identified from the polarization curve and a dynamic one identified from EIS data. The need to develop a dynamic model whose formulation may vary over time “without a priori” has been reported in this thesis. The original approach of this thesis is to consider conjointly both characterizations during all the proposed analysis process. This global strategy ensures the separation of the different fuel cell phenomena in the quasi-static and dynamic domains by introducing into each parametrization process (one for the quasi-static model and one for the dynamic model) parameters and/or laws stemming from the other part. The global process starting from the a priori knowledge until the identification of the models parameters was developed during the chapters of this thesis. In addition to the good reproduction of experimental data and the separation of the losses in both static and dynamic domains, the method makes it possible to monitor the FC SoH via the evolution of models parameters. The fact to take into account the coupling between quasi-static and dynamic models revealed the notion of a “residualimpedance”. This impedance makes it possible to overcome the recurrent experimental observation made by the daily users of EIS: there is a not-clearly explained difference between the low frequency resistance of the EIS and the slope of the polarization curve for a given currentndensity. Theoretically the two quantities have to tend towards the same value. In others words, a part of the impedance spectra is not clearly and easily exploitable to characterize fuel cell performance. This topic has been discussed in the literature in the last years. An attempt to explain physico-chemical phenomena related to this impedance is also a part of objectives of this thesis. From an experimental point of view, before applying this method to ageing monitoring, it was indeed necessary to “calibrate” it regarding its relative complexity. In this way, experiments with a single cell with different sets of internal components (different membrane thicknesses and different platinum loadings in the Active Layer (AL)) were achieved and analyzed by applying the proposed method. Therefore, the method was evaluated in the framework of three ageing campaigns carried out with three 1 kW PEM stacks
McGettrick, Andrew James. "Novel techniques for tunable diode laser spectroscopy and their application in solid oxide fuel cell diagnostics." Thesis, University of Strathclyde, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441884.
Повний текст джерелаTan, Li. "AC Impedance Spectroscopy Analysis of Improved Proton Exchange Membrane Fuel Cell Performance via Direct Inlet Humidity Control." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282322171.
Повний текст джерелаGénevé, Thomas. "Méthodes de diagnostic des piles à combustible." Phd thesis, Toulouse, INPT, 2016. http://oatao.univ-toulouse.fr/15589/1/TGENEVE.pdf.
Повний текст джерелаЧастини книг з теми "Fuel cell diagnostics, impedance spectroscopy"
Ivers-Tiffée, Ellen, André Leonide, Helge Schichlein, Volker Sonn, and André Weber. "Impedance Spectroscopy for High-Temperature Fuel Cells." In Fuel Cell Science and Engineering, 439–67. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527650248.ch16.
Повний текст джерелаFlammia, Danilo, Antonio Guarino, Giovanni Petrone, and Walter Zamboni. "Enhanced Kalman Filter-Based Identification of a Fuel Cell Circuit Model in Impedance Spectroscopy Tests." In Lecture Notes in Electrical Engineering, 117–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56970-9_10.
Повний текст джерелаWagner, Norbert. "Electrochemical Impedance Spectroscopy." In PEM Fuel Cell Diagnostic Tools, 37–70. CRC Press, 2011. http://dx.doi.org/10.1201/b11100-5.
Повний текст джерела"Electrochemical Impedance Spectroscopy." In PEM Fuel Cell Diagnostic Tools, 57–90. CRC Press, 2011. http://dx.doi.org/10.1201/b11100-8.
Повний текст джерела"EIS Diagnosis for PEM Fuel Cell Performance." In Electrochemical Impedance Spectroscopy in PEM Fuel Cells, 193–262. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-846-9_5.
Повний текст джерелаNakajima, Hironori. "Electrochemical Impedance Spectroscopy Study of the Mass Transfer in an Anode-Supported Microtubular Solid Oxide Fuel Cell." In Mass Transfer - Advanced Aspects. InTech, 2011. http://dx.doi.org/10.5772/21881.
Повний текст джерелаТези доповідей конференцій з теми "Fuel cell diagnostics, impedance spectroscopy"
Zenith, Federico, Ivar J. Halvorsen, Ivan Pivac, Dario Bezmalinovic, and Frano Barbir. "Electrochemical Low-Frequency Impedance Spectroscopy for Diagnostics of Fuel Cells." In 2019 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2019. http://dx.doi.org/10.1109/vppc46532.2019.8952402.
Повний текст джерелаAndreasen, So̸ren Juhl, Rasmus Mosbæk, Jakob Rabjerg Vang, So̸ren Knudsen Kær, and Samuel Simon Araya. "EIS Characterization of the Poisoning Effects of CO and CO2 on a PBI Based HT-PEM Fuel Cell." In ASME 2010 8th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2010. http://dx.doi.org/10.1115/fuelcell2010-33054.
Повний текст джерелаMammar, Khaled, and Belkacem Ould-Bouamama. "Analysis of Impedance for Water Management in Proton Exchange Membrane Fuel Cells Using Factorial Design of Experiment (DoE) Methodology." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63475.
Повний текст джерелаThiel, Susanne, Volker Seis, and Maik Eichelbaum. "Scanning electrochemical microscopy for the characterization of fuel cell components." In 2022 International Workshop on Impedance Spectroscopy (IWIS). IEEE, 2022. http://dx.doi.org/10.1109/iwis57888.2022.9975128.
Повний текст джерелаAit-Idir, William, Salah Touhami, Meriem Daoudi, Jerome Dillet, Julia Mainka, and Olivier Lottin. "Oxygen Transport Impedance in a Polymer Electrolyte Membrane Fuel Cell Equivalent Electrical Circuit." In 2021 International Workshop on Impedance Spectroscopy (IWIS). IEEE, 2021. http://dx.doi.org/10.1109/iwis54661.2021.9711832.
Повний текст джерелаXie, Yuanyuan, and Xingjian Xue. "First Principle Electrochemical Impedance Spectroscopy Simulation for SOFCs." In ASME 2010 8th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2010. http://dx.doi.org/10.1115/fuelcell2010-33101.
Повний текст джерелаLo Presti, Roberto, Alfonso Pozio, Fabio Leccese, and Andrea Zignani. "Development of Electrochemical Impedance Spectroscopy instrument for survey on fuel cell." In 2012 11th International Conference on Environment and Electrical Engineering (EEEIC). IEEE, 2012. http://dx.doi.org/10.1109/eeeic.2012.6221402.
Повний текст джерелаMigliardini, Fortunato, and Pasquale Corbo. "Optimization of fuel cell performance in vehicles by electrochemical impedance spectroscopy." In 2012 Electrical Systems for Aircraft, Railway and Ship Propulsion (ESARS). IEEE, 2012. http://dx.doi.org/10.1109/esars.2012.6387490.
Повний текст джерелаAhmed, Riaz, and Kenneth Reifsnider. "Study of Influence of Electrode Geometry on Impedance Spectroscopy." In ASME 2010 8th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2010. http://dx.doi.org/10.1115/fuelcell2010-33209.
Повний текст джерелаSelmene Ben Yahia, Mohamed, Hatem Allagui, and Abdelkader Mami. "The frequency behavior of the electrochemical model fuel cell by impedance spectroscopy." In 2016 7th International Renewable Energy Congress (IREC). IEEE, 2016. http://dx.doi.org/10.1109/irec.2016.7478883.
Повний текст джерела