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Understanding Degradation Phenomena in Solid-Oxide Fuel-Cell Anodes by Phase-Field Modeling and Analytics
The current work analyzes degradation effects in solid-oxide fuel cell anodes with the phase-field method. A model extension for interface diffusion is formulated and calibrated. Large-scale 3D-simulations provide interesting insights into phenomena at the microscale which are responsible for the degradation
Model-based Interpretation of the Performance and Degradation of Reformate Fueled Solid Oxide Fuel Cells
Solid oxide fuel cells offer great prospects for the sustainable, clean and safe conversion of various fuels into electrical energy. In this thesis, the performance-determining loss processes for the cell operation on reformate fuels are elucidated via electrochemical impedance spectroscopy. Model-based analyses reveal the electrochemical fuel oxidation mechanism, the coupling of fuel gas transport and reforming chemistry and the impact of fuel impurities on the degradation of each loss process.
Characterization and Modeling of Electrochemical Energy Conversion Systems by Impedance Techniques
This thesis introduces (i) amendments to basic electrochemical measurement techniques in the time and frequency domain suitable for electrochemical energy conversion systems like fuel cells and batteries, which enable shorter measurement times and improved precision in both measurement and parameter identification, and (ii) a modeling approach that is able to simulate a technically relevant system just by information gained through static and impedance measurements of laboratory size cells.
Ionic and Mixed Conducting Ceramics 7
The papers included in this issue of ECS Transactions were originally presented in the symposium ¿Ionic and Mixed Conducting Ceramics 7¿, held during the 217th meeting of The Electrochemical Society, in Vancouver, Canada, from April 25 to 30, 2010.
Model Based Parameter Estimation
This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse as biology, medicine, chemistry, environmental physics, image processing and computer vision. The material chosen was presented at a multidisciplinary workshop on parameter estimation held in 2009 in Heidelberg. The contributions show how indispensable efficient methods of applied mathematics and computer-based modeling can be to enhancing the quality of interdisciplinary research. The use of scientific computing to model, simulate, and optimize complex processes has become a standard methodology in many scientific fields, as well as in industry. Demonstrating that the use of state-of-the-art optimization techniques in a number of research areas has much potential for improvement, this book provides advanced numerical methods and the very latest results for the applications under consideration.
Batteries and Energy Technology (General) - 217th ECS Meeting
The papers included in this issue of ECS Transactions were originally presented in the symposium ¿Batteries and Energy Technology Joint General Session¿, held during the 217th meeting of The Electrochemical Society, in Vancouver, Canada, from April 25 to 30, 2010.
Finite Element Method (FEM) Model and Performance Analysis of Solid Oxide Fuel Cells
This work presents a numerical FEM framework, capable of predicting SOFC performance under technically relevant, planar stack contacting conditions. A high level of confidence in the model predictions is supplied by using exclusively experimentally determined material/kinetic parameters and by a comprehensive validation. The presented model aids SOFC stack development by pre-evaluating possible material choices and design combinations for cells/interconnectors without any experimental effort.
Physically based Impedance Modelling of Lithium-Ion Cells
In this book, a new procedure to analyze lithium-ion cells is introduced. The cells are disassembled to analyze their components in experimental cell housings. Then, Electrochemical Impedance Spectroscopy, time domain measurements and the Distribution function of Relaxation Times are applied to obtain a deep understanding of the relevant loss processes. This procedure yields a notable surplus of information about the electrode contributions to the overall internal resistance of the cell.
Impedanzbasierte Spannungsprädiktion von Lithium-Ionen-Batterien
Diese Arbeit präsentiert ein physikalisch motiviertes Modell, welches die Zellspannung einer Lithium-Ionen-Batterie auf Basis der Zellimpedanz vorhersagt. Das Modell wurde an einer kommerziellen Pouchzelle parametriert und validiert. In einer umfassenden Simulationsstudie wird der Einfluss der Elektrodenmikrostruktur auf die Energie- und Leistungsdichte der Zelle quantifiziert. Darüber hinaus wird eine Routine zur Entwicklung anwendungsspezifischer Zelldesigns vorgestellt. - This work presents a physically motivated model that predicts the cell voltage of a lithium-ion-battery based on its impedance. The model was parameterized and validated on a commercial pouch cell. In a comprehensive simulation study, the influence of the electrode microstructure parameters on the energy and power density is quantified. Furthermore, a routine for the development of application-specific cell designs is developed.
Modellgestützte Analyse des Stackbetriebs von Festoxidzellen
In dieser Arbeit wird der Stackbetrieb von Festoxidzellen (engl. Solid Oxide Cells, SOCs) mit Hilfe eines Simulationsmodells analysiert. Hierfür werden sämtliche gekoppelten physikalischen und chemischen Teilprozesse innerhalb einer zweidimensionalen Geometrie einer einzelnen Stackebene abgebildet. Nach der Parametrierung mit experimentellen Daten und einer umfangreichen Validierung, wird das Modell auf drei Fragestellungen der SOC-Technologie angewendet. - In this work, the stack operation of solid oxide cells (SOCs) is analyzed by a simulation model. For this purpose, all coupled physical and chemical sub-processes are represented within a two-dimensional geometry of a single stack level. After parameterization with experimental data and extensive validation, the model is applied to three research issues in SOC technology.
