Relevant bibliographies by topics / Fuel cell diagnostics

Academic literature on the topic 'Fuel cell diagnostics'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Fuel cell diagnostics"

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Forrai, A., H. Funato, Y. Yanagita, and Y. Kato. "Fuel-Cell Parameter Estimation and Diagnostics." IEEE Transactions on Energy Conversion 20, no. 3 (September 2005): 668–75. http://dx.doi.org/10.1109/tec.2005.845516.

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Giczi, Wolfram, Christoph Kügele, Katharina Renner, and Jürgen Rechberger. "Fuel Cell Diagnostics with Smart Voltage Measurement." ATZ worldwide 116, no. 11 (October 2014): 12–17. http://dx.doi.org/10.1007/s38311-014-0236-6.

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Obeisun, O. A., Q. P. G. Meyer, J. Robinson, C. Gibbs, A. R. J. Kucernak, P. R. Shearing, and D. J. L. Brett. "Advanced Diagnostics Applied to a Self-Breathing Fuel Cell." ECS Transactions 61, no. 27 (October 1, 2014): 249–58. http://dx.doi.org/10.1149/06127.0249ecst.

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Milačić, Miloš, and Kevin Davies. "Polarization Based Statistical Approach to Fuel Cell Vehicle Diagnostics." ECS Transactions 5, no. 1 (December 19, 2019): 781–89. http://dx.doi.org/10.1149/1.2729059.

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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.

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Merida, Walter. "An Empirical Model for Proton Exchange Membrane Fuel Cell Diagnostics." ECS Transactions 5, no. 1 (December 19, 2019): 229–39. http://dx.doi.org/10.1149/1.2729005.

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Hirschfeld, J. A., H. Lustfeld, M. Reißel, and B. Steffen. "Tomographic diagnostics of current distributions in a fuel cell stack." International Journal of Energy Research 34, no. 3 (November 9, 2009): 284–92. http://dx.doi.org/10.1002/er.1634.

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Tsalapati, E., C. W. D. Johnson, T. W. Jackson, L. Jackson, D. Low, B. Davies, L. Mao, and A. West. "Enhancing polymer electrolyte membrane fuel cell system diagnostics through semantic modelling." Expert Systems with Applications 163 (January 2021): 113550. http://dx.doi.org/10.1016/j.eswa.2020.113550.

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Lin, Rong-Heng, Zi-Xiang Pei, Ze-Zhou Ye, Cheng-Cheng Guo, and Bu-Dan Wu. "Hydrogen fuel cell diagnostics using random forest and enhanced feature selection." International Journal of Hydrogen Energy 45, no. 17 (March 2020): 10523–35. http://dx.doi.org/10.1016/j.ijhydene.2019.10.127.

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Martemianov, S., A. Thomas, A. Gervex, P. Lagonotte, and J. P. Poirot-Crouvezier. "Electrochemical noise diagnostics of PEM fuel cell stack for micro-cogeneration application." Journal of Solid State Electrochemistry 25, no. 12 (October 21, 2021): 2835–47. http://dx.doi.org/10.1007/s10008-021-05053-2.

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Dissertations / Theses on the topic "Fuel cell diagnostics"

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Buche, Silvain. "Polymer electrolyte fuel cell diagnostics." Thesis, University of Bath, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285318.

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Herrera, Omar Enrique. "New approaches to fuel cell diagnostics." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/36969.

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The durability and reliability of fuel cell products need to be improved. The lack of early diagnosis and failure-prevention techniques is one of the limiting factors. This thesis presents a non-invasive method for the early diagnosis of flooding, dehydration and low fuel stoichiometry (three common failure modes). The method is based on micro sensing electrodes (SE) that are placed at appropriate locations in a single cell. These electrodes have a characteristic potential response to each of the failure modes, which enables detection prior to overall fuel cell failure. The specific features in the measured responses (or combinations thereof) can be used to discern between different failure modes, and initiate corrective actions. This thesis also reports on the separation of anodic and cathodic potentials in a working fuel cell via reference electrodes maintained at constant conditions. The reference electrodes consisted of four platinized platinum electrode wires and two patches of the same catalyst layer used in the anode. All the reference electrodes were unaffected by the operating conditions of the fuel cell and those with patches provided the most stable potentials. Individual anodic and cathodic overpotentials (activation, ohmic, concentration and mass transport) were obtained in a segmented and un-segmented fuel cell for the first time. An array of reference electrodes and gases with different diffusion coefficients were used to discern the different overpotentials. The results show that the anodic overpotentials cannot be ignored, even if the conditions are changed at the cathode only. The oxygen concentration has an effect on the anode and in particular hydrogen oxidation and proton flux. Under dry conditions the current in-plane gradients are very large and the heat generation profiles are affected, creating an uneven temperature distribution in the catalyst layer due to concurrent effects of the half-cell reactions and the water vaporization. The combination of reference electrodes and multi-component gas analysis, allows the measurement and calculation of kinetic and diffusion parameters that can be used for modeling and to understand the behavior of different layers of a fuel cell.
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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.

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Electrochemical impedance spectroscopy (EIS) has been exploited as a rich source of Proton Exchange Membrane Fuel Cell (PEMFC) diagnostic information for many years. Several investigators have characterized different failure modes for PEMFCs using EIS and it now remains to determine how this information is to be obtained and used in a diagnostic or control algorithm for an operating PEMFC. This work utilizes the concept of impedance spectral fingerprints (ISF) to uniquely identify between failure modes in an operating PEMFC. Three well documented PEMFC failure modes, carbon monoxide (CO) poisoning, dehydration, and flooding were surveyed, modelled, and simulated in the time domain and the results were used to create a database of ISFs. The time domain simulation was realized with a fractional order differential calculus state space approach. A primary goal of this work was to develop simple and cost effective algorithms that could be included in a PEMFC on-board controller. To this end, the ISF was discretized as coarsely as possible while still retaining identifying spectral features using the Goertzel algorithm in much the same way as in dual tone multi-frequency detection in telephony. This approach generated a significant reduction in computational burden relative to the classical Fast Fourier Transform approach. The ISF database was used to diagnose simulated experimental PEMFC failures into one of five levels of failure: none (normal operation), mild, moderate, advanced, and extreme from one of the three catalogued failure modes. The described ISF recognition algorithm was shown to correctly identify failure modes to a lower limit of SNR = 1dB.
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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.

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Esposito, Angelo. "Numerical and Experimental Study of Droplet-Air Flow Interaction on the GDL Surface of PEMFC for Water Management Monitoring, Control and Diagnostics." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274977066.

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Jha, Mayank Shekhar. "Diagnostic et Pronostic de Systèmes Dynamiques Incertains dans un contexte Bond Graph." Thesis, Ecole centrale de Lille, 2015. http://www.theses.fr/2015ECLI0027/document.

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Cette thèse développe des approches pour le diagnostic et le pronostic de systèmes dynamiques incertains en utilisant la technique de modélisation Bond Graph (BG). Tout d'abord, une représentation par intervalles des incertitudes paramétriques et de mesures est intégrée à un modèle BG-LFT (Linear Fractional Transformation). Une méthode de détection robuste de défaut est développée en utilisant les règles de l'arithmétique d'intervalle pour la génération de seuils robustes et adaptatifs sur les résidus nominaux. La méthode est validée en temps réel sur un système de générateur de vapeur.Deuxièmement, une nouvelle méthodologie de pronostic hybride est développée en utilisant les Relations de Redondance Analytique déduites d'un modèle BG et les Filtres Particulaires. Une estimation de l'état courant du paramètre candidat pour le pronostic est obtenue en termes probabilistes. La prédiction de la durée de vie résiduelle est atteinte en termes probabilistes. Les incertitudes associées aux mesures bruitées, les conditions environnementales, etc. sont gérées efficacement. La méthode est validée en temps réel sur un système mécatronique incertain.Enfin, la méthodologie de pronostic développée est mise en œuvre et validée pour le suivi efficace de la santé d'un sous-système électrochimique d’une pile à combustible à membrane échangeuse de protons (PEMFC) industrielle à l’aide de données de dégradation réelles
This thesis develops the approaches for diagnostics and prognostics of uncertain dynamic systems in Bond Graph (BG) modeling framework. Firstly, properties of Interval Arithmetic (IA) and BG in Linear Fractional Transformation, are integrated for representation of parametric and measurement uncertainties on an uncertain BG model. Robust fault detection methodology is developed by utilizing the rules of IA for the generation of adaptive interval valued thresholds over the nominal residuals. The method is validated in real time on an uncertain and highly complex steam generator system.Secondly, a novel hybrid prognostic methodology is developed using BG derived Analytical Redundancy Relationships and Particle Filtering algorithms. Estimations of the current state of health of a system parameter and the associated hidden parameters are achieved in probabilistic terms. Prediction of the Remaining Useful Life (RUL) of the system parameter is also achieved in probabilistic terms. The associated uncertainties arising out of noisy measurements, environmental conditions etc. are effectively managed to produce a reliable prediction of RUL with suitable confidence bounds. The method is validated in real time on an uncertain mechatronic system.Thirdly, the prognostic methodology is validated and implemented on the electrical electro-chemical subsystem of an industrial Proton Exchange Membrane Fuel Cell. A BG of the latter is utilized which is suited for diagnostics and prognostics. The hybrid prognostic methodology is validated, involving real degradation data sets
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Engebretsen, Erik Charles. "Transfer function analysis as a novel diagnostic tool for polymer electrolyte membrane fuel cells." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/10040348/.

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Polymer electrolyte membrane fuel cells have shown great promise as a clean and renewable energy source due to their high efficiency and lack of carbon emissions at point of use. However, one of the great challenges in their wider commercialisation is the lack of in-situ metrological techniques to measure performance of the devices over the course of their lifetime. In this work, novel transfer function analysis techniques are developed and applied to these devices to better understand their in-situ performance through perturbation and measurement of electrical, thermal, and pneumatic properties. Localised electrochemical impedance spectroscopy measurements using a novel reference electrode array are made to measure spatially resolved, cathode-specific fuel cell performance for the first time as well as membrane hydration transients when the fuel cell is polarised from open circuit. Electro-thermal impedance spectroscopy, a transfer function technique relating an electrical perturbation to a thermal response, is developed to characterise the electrically-dependent thermal performance of an open-cathode fuel cell and identify faults such as pinhole formation and bowing of lands. Electrochemical pressure impedance spectrscopy, a transfer function technique relating a cathodic pressure perturbation to an electrical response, is developed and applied to a fuel cell in order to characterise water management of a fuel cell under varying humidity conditions. The impact of the techniques developed is discussed with scope for further advancement deliberated. The relevance of the application of the techniques is highlighted to give novel and complementary information not easily accessible by more conventional metrological methodologies.
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Mason, T. J. "Advanced diagnostic techniques to study the electrochemical and mechanical properties of polymer electrolyte fuel cells." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1393123/.

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Polymer electrolyte fuel cells (PEFCs) are a key technology as the world strives for a low carbon future. The main obstacles facing mass-market uptake are the high cost and the longevity of the units; as such, research is needed to enhance performance and understand the degradation mechanisms. In this study, dynamic compression is applied using a cell compression unit (CCU) to study the effect on performance of a membrane electrode assembly (MEA) and its individual components with dimension change. Electrochemical impedance spectroscopy (EIS) is used to delineate the effect of compression on contact resistance, membrane resistance and mass transfer losses. Derived parameters such as the ‘displacement factor’ are used to characterise a representative range of commercial gas diffusion layers (GDLs). Increasing compaction pressure leads to a non-linear decrease in resistance for all GDLs. Different GDLs have different intrinsic resistance; however, all GDLs of the same class share a common compaction profile (change in resistance with pressure). Cyclic compression of Toray GDL leads to progressive improvement in resistance and reduction in thickness that stabilises after ~10 cycles. During initial hydration of Nafion membranes there is a direct relationship between membrane conductivity and dimensional change (swelling) of MEAs. Electrode flooding is found to result in membrane hydration and an increase in stress or strain, depending on the compression mode of the fuel cell. Results suggest that hydration cycles and flooding events can lead to cell degradation due to the stresses imposed. With increasing compression, a significant reduction in net performance is observed, with the most significant differences occurring in the mass transport regions of the performance curves. As the compression increases, the high-frequency resistance reduces with the improvement in contact resistance between the GDL and bipolar plate material, concurrently the low frequency resistance increases with increasing compression.
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Zhuo, Shengrong. "Control of interleaved DC-DC converter with switch fault consideration for fuel cell application." Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCA018.

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La pile à combustible, en raison de son faible niveau de tension de fonctionnement et de sa caractéristique volt-ampèremétrique non linéaire, nécessite la présence d’un convertisseur statique de type DC-DC pour la relier à la charge dans le but d’augmenter le niveau de tension et de réguler cette dernière à une valeur constante. Le convertisseur DC-DC du type hacheur élévateur à phases parallèles et à commandes entrelacées est un choix intéressant de part une conception assez simple, une bonne fiabilité, une faible ondulation du courant d'entrée, ce qui est bénéfique pour le fonctionnement à long terme de la pile à combustible. Cependant, le contrôle de cette topologie de convertisseur doit prendre en compte certains critères comme les incertitudes de valeurs au niveau des composants passifs (résistance parasite et tolérance d'inductance / capacité) et des perturbations de l’association pile à combustible – convertisseur – charge (variations du courant de charge et de la tension de la pile à combustible selon le point de fonctionnement envisagé et prise en compte des défauts électriques internes au convertisseur). Dans le but d'améliorer les performances statique et dynamique du système pile à combustible en modes de fonctionnement sain et défaillant, la commande du convertisseur à phases parallèles et à commandes entrelacées avec prise en compte de la robustesse face aux perturbations internes et externes est étudiée dans cette thèse.Pour mieux gérer les incertitudes liées aux paramètres électriques du convertisseur et les perturbations externes (pile à combustible ou charge), un contrôleur de tension robuste basé sur un observateur d'état étendu (ESO) dans le cadre de l'algorithme de contrôle actif du rejet de perturbation (ADRC) est proposé et appliqué à la topologie de convertisseur envisagée pour une application pile à combustible. La comparaison avec le contrôleur du type PI montre que la méthode proposée peut obtenir une meilleure capacité de rejet des perturbations sans dépassement de la réponse à la suite d’un échelon du courant de charge ou à une variation du niveau de tension d’entrée. Le contrôleur proposé est également validé sur une seconde topologie de convertisseur qui est une variante de la première et permettant un gain d’élévation en tension plus élevé.L’apparition d’un défaut électrique sur les interrupteurs de puissance du convertisseur entraîne généralement la perte d’une phase de celui-ci. Ceci occasionne des effets néfastes considérables sur les performances du contrôleur. Par conséquent, un contrôleur adaptatif amélioré, avec la prise en compte des défauts électriques sur les interrupteurs est proposé sur la base du contrôleur développé précédemment. Le contrôleur proposé peut maintenir un fonctionnement continu et obtenir de bonnes performances en cas de défauts. De plus, une méthode de diagnostic basé-modèle de défauts d’interrupteurs de puissance en s’appuyant sur un observateur de mode glissant est proposée et appliquée au système pile à combustible étudié. L'approche proposée dans ce manuscrit permet de diagnostiquer efficacement un défaut d’interrupteur de puissance et de montrer une forte robustesse à l'incertitude des paramètres du convertisseur et aux perturbations externes. Enfin, pour optimiser l'ondulation du courant d'entrée élevée à la suite de la perte d’une phase du convertisseur provoquée par un défaut sur l’un des interrupteurs, une nouvelle méthode de reconfiguration de la commande en appliquant une adaptation du déphasage entre les phases restantes est proposé. En comparaison avec une reconfiguration classique par un déphasage uniforme entre les phases, celle proposée permet une réduction significative de l'ondulation du courant d’entrée après l’apparition, la détection et la reconfiguration d’un défaut. Les différentes méthodes proposées sont toutes validées par des résultats de simulation et expérimentaux
The relatively low voltage and the nonlinear volt-ampere curve of the fuel cell (FC) stack necessitate the interface with the DC-DC power converter, in order to boost and regulate a constant DC bus voltage to satisfy the load requirement. The multi-phase interleaved converter by associating basic converter units via parallel structure is an attractive choice. It features high reliability, and it enables a low input current ripple via phase interleaving, which is beneficial for the long-time operation of the FC stack. The converter for FC application suffers from the converter uncertainties (parasitic resistance and inductance / capacitance tolerance), the external disturbances (dynamic load demand on the output side and variable source voltage on the input side), and the device fault (e.g., switch fault) uncertainty. Aiming to improve the steady-state and dynamic performance under healthy and switch fault mode of the system, the control of the interleaved converter with switch fault consideration for FC application is studied in this thesis.To better deal with the converter uncertainty and external disturbance, a robust voltage controller based on extended state observer (ESO) within the framework of active disturbance rejection control (ADRC) algorithm is proposed and applied to an interleaved boost converter for FC application. The comparison with PI control shows that the proposed method can achieve better disturbance rejection ability without overshoot in step response. The application of the proposed method to another interleaved converter (i.e., floating interleaved boost converter, FIBC) validates again its feasibility.The switch fault generally leads to the loss of the phase of the interleaved converter, which has considerable adverse effects on the controller performance. Therefore, an improved adaptive controller is proposed and applied to a FIBC with switch fault consideration, based on the previously developed controller. The proposed controller adapts the parameter in real-time. It can maintain continuous operation and achieve good performance in both healthy and switch fault mode. Furthermore, a switch fault diagnosis method based on sliding mode observer is proposed and applied to the FIBC for FC application. The proposed approach can diagnose the switch fault effectively, and it shows strong robustness to the converter uncertainties and external disturbances. Finally, to optimize the undesired high input current ripple of the FIBC caused by the switch fault, a novel post-fault control method by applying uneven phase shift reconfiguration is proposed. In comparison with the even phase shift reconfiguration, the proposed one can achieve significant improvement in reducing the post-fault current ripple. The effectiveness of the proposed methods is validated by the simulation and experimental results
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Chadha, Kush. "Improvement of water management in PEM fuel cells using water balance and electrochemical noise analysis." Thesis, Poitiers, 2021. http://www.theses.fr/2021POIT2251.

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Cette thèse s’inscrit dans une démarche d’optimisation des performances des piles à combustibles PEMFC, à travers le développement de nouveaux designs de plaque d’alimentation. Des outils tel que le bilan hydrique et l’analyse des bruits électrochimiques ont été utilisés comme diagnostic de la gestion de l’eau au sein d’un mono-cellule PEMFC. Une gestion optimale du transport d’eau permet une augmentation des performances et de la durée de vie des piles à combustible. Le bilan hydrique a été utilisé pour mesurer et encadrer la valeur du coefficient de diffusion effectif de l’eau au sein des membranes de piles à combustibles. De nouvelles géométries de plaque d’alimentation ont été développées et caractériser par des mesures classiques de courbes de performance et des mesures de pression. La technique du bruit électrochimique a été utilisée pour détecter des phénomènes liés au comportement de l’eau lors du fonctionnement de la pile pour chaque géométrie développée. Le bruit électrochimique enregistré pendant ces expériences a été associé à des mécanismes sources grâce à une démarche expérimentale et à un traitement de signal approprié basé sur l’analyse fréquentielle et temporelle. Les résultats des descripteurs obtenus par l’analyse temporel et fréquentiel ont permis de d’obtenir la signature dans un fonctionnement normal de pile à combustible utilisant une géométrie classique de canaux en serpentin. Cette signature a été comparée aux nouveaux designs développés permettant de caractériser l’influence de ces nouvelles géométries sur le transport d’eau. Enfin, de manière à compléter l’approche expérimental effectuée sur le coefficient de diffusion de l’eau au sein des membranes de piles à combustibles PEMFC, une modélisation de la courbe de polarisation prenant en compte ce coefficient a été développé et comparé aux courbes de performances expérimentales. En termes d’ouverture, l’impact des nouvelles géométries développées a été étendu à leur utilisation en stack et un modèle de pronostic basé sur les réseaux de neurones artificiels a été proposé
This thesis deals to optimize the performance of PEMFC fuel cells, through the development of new flow-field plate designs. Tools such as water balance and electrochemical noise analysis have been used to diagnose water management within a PEMFC single cell. Optimal management of the water transport enables an increase of the performance and durability of fuel cells. Water balance method was used to measure and frame the value of the effective water diffusion coefficient within the membranes of fuel cells. New flow-flied plate geometries have been developed and characterized by conventional polarization curve and pressure measurements. The electrochemical noise technique was used to detect phenomena related to the behavior of water during fuel cell operation for each geometry developed. Electrochemical noise measurements have been associated with source mechanisms through an experimental approach and an appropriate signal processing based on frequency and time analysis. The descriptors obtained by time and frequency analysis shows that it possible to obtain the signature in normal operation of a fuel cell using a classical serpentine. This signature was compared to the new developed designs allowing to characterize the influence of these new geometries on the water transport. Finally, to complete the experimental approach carried out on the water diffusion coefficient within the membranes of PEMFC fuel cells, a model based on polarization curve, considering this coefficient, was developed and compared to the experimental curves of performances. In perspective, the impact of the new developed geometries has been extended in a stack utilization and a prognosis model based on artificial neural networks has been proposed
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Books on the topic "Fuel cell diagnostics"

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PEM fuel cell diagnostic tools. Boca Raton, FL: Taylor & Francis/CRC Press, 2011.

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Wang, Zhaoyang. Modeling and Diagnostics of Polymer Electrolyte Fuel Cells. New York, NY: Springer Science+Business Media, LLC, 2010.

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Wang, Chao-Yang, and Ugur Pasaogullari, eds. Modeling and Diagnostics of Polymer Electrolyte Fuel Cells. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-98068-3.

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Jemeï, Samir. Hybridization, Diagnostic and Prognostic of Proton Exchange Membrane Fuel Cells. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119563426.

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Li, Hui, Haijiang Wang, and Xiao-Zi Yuan. PEM Fuel Cell Diagnostic Tools. Taylor & Francis Group, 2017.

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Li, Hui, Haijiang Wang, and Xiao-Zi Yuan. PEM Fuel Cell Diagnostic Tools. Taylor & Francis Group, 2011.

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Li, Hui, Haijiang Wang, and Xiao-Zi Yuan. PEM Fuel Cell Diagnostic Tools. Taylor & Francis Group, 2011.

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Li, Hui, Haijiang Wang, and Xiao-Zi Yuan. Pem Fuel Cell Diagnostic Tools. Taylor & Francis Group, 2011.

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Wang, Chao-Yang, and Ugur Pasaogullari. Modeling and Diagnostics of Polymer Electrolyte Fuel Cells. Springer, 2014.

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Jemei, Samir. Hybridization, Diagnostic and Prognostic of PEM Fuel Cells: Durability and Reliability. Wiley & Sons, Incorporated, John, 2018.

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Book chapters on the topic "Fuel cell diagnostics"

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Andreasen, Søren Juhl, Søren Knudsen Kær, Kristian Kjær Justesen, and Simon Lennart Sahlin. "High Temperature PEM Fuel Cell Systems, Control and Diagnostics." In High Temperature Polymer Electrolyte Membrane Fuel Cells, 459–86. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17082-4_21.

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Varanasi, Jhansi L., Ramya Veerubhotla, and Debabrata Das. "Diagnostic Tools for the Assessment of MFC." In Microbial Fuel Cell, 249–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66793-5_13.

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Marra, Dario, Cesare Pianese, Pierpaolo Polverino, and Marco Sorrentino. "Models for Diagnostic Applications." In Models for Solid Oxide Fuel Cell Systems, 121–54. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-5658-1_4.

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Diplock, E. E., H. A. Alhadrami, and G. I. Paton. "Commercial Application of Bioluminescence Full Cell Bioreporters for Environmental Diagnostics." In Handbook of Hydrocarbon and Lipid Microbiology, 4445–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-77587-4_347.

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Tsushima, Shohji, and Shuichiro Hirai. "Magnetic Resonance Imaging and Tunable Diode Laser Absorption Spectroscopy for In-Situ Water Diagnostics in Polymer Electrolyte Membrane Fuel Cells." In Modern Aspects of Electrochemistry, 201–24. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-98068-3_6.

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Wang, Haijiang. "Fuel Cell Diagnostics." In PEM Fuel Cells, 265–304. Elsevier, 2013. http://dx.doi.org/10.1016/b978-0-12-387710-9.00008-4.

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Barbir, Frano. "Fuel Cell Diagnostics." In PEM Fuel Cells, 249–70. Elsevier, 2005. http://dx.doi.org/10.1016/b978-012078142-3/50009-4.

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Perry, Mike L., Ryan Balliet, and Robert M. Darling. "Experimental Diagnostics and Durability Testing Protocols." In Polymer Electrolyte Fuel Cell Degradation, 335–64. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-12-386936-4.10007-7.

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"Diagnostics and Prognostics of Fuel Cell Generators." In Hybridization, Diagnostic and Prognostic of Proton Exchange Membrane Fuel Cells, 115–85. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119563426.ch4.

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Nishida, Kosuke, Shohji Tsushima, and Shuichiro Hirai. "Water Management and Experimental Diagnostics in Polymer Electrolyte Fuel Cell." In Recent Trend in Electrochemical Science and Technology. InTech, 2012. http://dx.doi.org/10.5772/27593.

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Conference papers on the topic "Fuel cell diagnostics"

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Friedrich, Kaspar Andreas, Till Kaz, Stefan Scho¨nbauer, and Heinz Sander. "Dynamic Behavior and In-Situ Diagnostics of PEFCs." In ASME 2006 4th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2006. http://dx.doi.org/10.1115/fuelcell2006-97121.

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During fuel cell operation the electrochemical activity often is not homogenous over the electrode area. This may be caused by an non-uniform water content in the membrane, an inhomogeneous temperature distribution, and reactant gradients in the cell. Consequently a variation of the current density over the cell area occurs which tends to result in inferior performance. For in situ measurements of the current density distribution in fuel cell stacks a segmented bipolar plate was developed. The segmented bipolar plate was first tested in single cells with stack endplates to verify the function of all components. The tests showed that the measurement tool works very reliable and accurate. The insight in an operating fuel cell stack via current density distribution measurement is very helpful to investigate interactions between cells. Results can be used to validate models and to optimise stack components, e.g. flow field and manifold design, as well as to detect the best stack operating conditions. By applying segmented bipolar plates as sensor plates for stack system controls an improved performance, safe operation and longer life cycles can be achieved. The developed segmented bipolar plates with integrated current sensors were used to assemble a short stack consisting of 3 cells; each of them having an active area of 25cm2 divided into 49 segments. The design of the bipolar plate proofed very suitable for easy assembling of single cells and stacks. First measurement results show that different current distributions can appear in the cells and these can vary from cell to cell, depending on the operating conditions of the stack. Electrical coupling between the cells was investigated and found to be only marginal for the assembly used.
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Zhang, Xian, and Pierluigi Pisu. "PEM Fuel Cell Flooding Diagnostics Based on an Unscented Kalman Filter Approach." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6158.

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This paper proposes a model-based approach for the fuel cell flooding diagnostics problem. The cathode channel flooding and the GDL flooding diagnostic problems are decoupled and formulated as standard joint state and parameter estimation problems, with the amounts of the liquid water treated as varying system parameters to be identified. The unscented Kalman Filter technique has been applied to solve these problems. Simulation results prove the applicability of the cascading unscented Kalman filter design for flooding diagnostics.
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Friedrich, Jürgen, Reinhold Schamm, Christof Nitsche, Jörg Keller, Matthias Röhm, Bernd Rehfus, and Thomas Frisch. "Advanced On-/Offboard Diagnostics for a Fuel Cell Vehicle Fleet." In SAE World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2008. http://dx.doi.org/10.4271/2008-01-0464.

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Aliverdilou, H., M. S. Jabal Ameli, and N. Bagheri Moghaddam. "Policy making diagnostics of Iran’s fuel cell technology." In Technology. IEEE, 2008. http://dx.doi.org/10.1109/picmet.2008.4599677.

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Bettermann, Hans, and Peter Fischer. "On-Line In-Situ Diagnostics of Processes Within PEM Fuel Cells by Raman Spectroscopy." In ASME 2010 8th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2010. http://dx.doi.org/10.1115/fuelcell2010-33320.

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This contribution intends to show how Raman spectroscopy can be used to pursue processes inside PEM fuel cells. For this, two experimental setups have been worked out. At first a microscope objective was inserted into one bipolar plate. This enabled the detection of hydrogen, oxygen, nitrogen, vaporous and liquid water as well as changes in gas compositions and water distribution induced by an artificial pinhole within the MEA. A multiple-fiber Raman spectrometer with seven twin fibers was then developed to refine the look inside fuel cells. This setup permits the simultaneous record of gas compositions, liquid water and water vapor and how those species do change locally during operation. Beside the collection of data for modelling fuel cell processes, the multiple-fiber setup is primarily considered to monitor degradation processes and pre-stages of membrane damages.
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Aroge, Fabusuyi A., and Paul S. Barendse. "Signal Injection by Active Load Modulation for PEM Fuel Cell Diagnostics." In 2018 IEEE PES/IAS PowerAfrica. IEEE, 2018. http://dx.doi.org/10.1109/powerafrica.2018.8521159.

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Gullotta, Justin, Lakshmi Krishnan, Dylan Share, Daniel Walczyk, and Raymond Puffer. "Adaptive Process Control and In-Situ Diagnostics for High Temperature PEM MEA Manufacturing." In ASME 2010 8th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2010. http://dx.doi.org/10.1115/fuelcell2010-33231.

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The most critical step in high temperature proton exchange membrane (PEM) MEA manufacturing is sealing of the membrane between the two electrodes. This sealing process is typically conducted using a precision hydraulic thermal press. In order to achieve cost-effective high-volume MEA manufacturing, it is important to reduce the variability in MEA performance due to variations in incoming material properties and dimensions, and to reduce the unit process cycle time. This paper explains the application of real time adaptive process controls (APC) combined with effective in-situ diagnostics during the MEA sealing process to achieve greater uniformity and performance of high temperature PEM MEAs. The in-situ impedance measurement is carried out in a precision thermal press using a milliohmmeter by reading the complex impedance of the MEA at 1 kHz as the components of the MEA are sealed. This signal is then used to adjust the pressing process parameters in real time to achieve more uniform MEA performance. An experiment was carried out in an attempt to identify the impedance parameter which correlated most closely with the MEA’s future performance. Using these impedance parameters during pressing, we are able to reliably produce MEAs using the real time APC technique that perform consistently in a single cell test fixture with more than a 50% reduction in pressing time.
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Friedrich, Kaspar Andreas, Norbert Wagner, and Mathias Schulze. "In-Situ Diagnostics of PEFCs." In ASME 2009 7th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2009. http://dx.doi.org/10.1115/icnmm2009-82186.

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Polymer electrolyte fuel cells (PEFCs) are one of the most interesting alternatives for a pollution-free electrical energy production in many applications where a highly reliable source of electricity is needed. One of the major challenges in the development of PEFCs is to exploit the whole capacity that is inherent to a given membrane electrode assembly (MEA). In practice, certain obstacles remain to be overcome like local mass transport effects, non-uniformly manufactured MEAs, locally varying contact resistances, water management and temperature gradients. All these parameters lead to an inhomogeneous electrochemical activity over the electrode area. Consequently, a variation and a gradient of the current density over the cell area occurs which tends to result in inferior performance and low durability of a PEFC. For the determination of current density distribution different in-situ methods and measurement techniques are applied. Results can be used to improve cell components, to validate models and to detect inappropriate detrimental operating conditions of the fuel cell.
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Cheikh, Abderazek, Nadia Yousfi Steiner, Elodie Pahon, Cedric Damour, Michel Benne, and Daniel Hissel. "Proton Exchange Membrane Fuel Cell Signal-Based Diagnostics Using Empirical Fourier Transform." In 2022 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2022. http://dx.doi.org/10.1109/vppc55846.2022.10003412.

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Pahon, E., S. Jemei, and D. Hissel. "Supervised classification approach dedicated to proton exchange membrane fuel cell diagnostic." In 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). IEEE, 2019. http://dx.doi.org/10.1109/demped.2019.8864841.

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Reports on the topic "Fuel cell diagnostics"

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Koehler, Theresa M., Donald B. Jarrell, and Leonard J. Bond. High Temperature Ceramic Fuel Cell Measurement and Diagnostics for Application to Solid Oxide Fuel Cell Systems. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/789924.

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Jones, Robert, Molly Creagar, Michael Musty, Randall Reynolds, Scott Slone, and Robyn Barbato. A 𝘬-means analysis of the voltage response of a soil-based microbial fuel cell to an injected military-relevant compound (urea). Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/45940.

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Biotechnology offers new ways to use biological processes as environmental sensors. For example, in soil microbial fuel cells (MFCs), soil electro-genic microorganisms are recruited to electrodes embedded in soil and produce electricity (measured by voltage) through the breakdown of substrate. Because the voltage produced by the electrogenic microbes is a function of their environment, we hypothesize that the voltage may change in a characteristic manner given environmental disturbances, such as the contamination by exogenous material, in a way that can be modelled and serve as a diagnostic. In this study, we aimed to statistically analyze voltage from soil MFCs injected with urea as a proxy for gross contamination. Specifically, we used 𝘬-means clustering to discern between voltage output before and after the injection of urea. Our results showed that the 𝘬-means algorithm recognized 4–6 distinctive voltage regions, defining unique periods of the MFC voltage that clearly identify pre- and postinjection and other phases of the MFC lifecycle. This demonstrates that 𝘬-means can identify voltage patterns temporally, which could be further improve the sensing capabilities of MFCs by identifying specific regions of dissimilarity in voltage, indicating changes in the environment.
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Thomas E. Springer. Task 1: Modeling Study of CO Effects on Polymer Electrolyte Fuel Cell Anodes Task 2: Study of Ac Impedance as Membrane/Electrode Manufacturing Diagnostic Tool. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/758777.

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High Temperture Ceramic Fuel Cell Measurement and Diagnostics for Application to Solid Oxide Fuel Cell Systems. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/965697.

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