Modeling of Electronic and Ionic Transport Resistances Within Lithium-ion Battery Cathodes

Modeling of Electronic and Ionic Transport Resistances Within Lithium-ion Battery Cathodes
Author: David Eugene Stephenson
Publisher:
Total Pages: 29131
Release: 2008
Genre: Electronic dissertations
ISBN:

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In this work, a mathematical model is reported and validated, which describes the performance of porous electrodes under low and high rates of discharge. This porous battery model can be used to provide researchers a better physical understanding relative to prior models of how cell morphology and materials affect performance due to improved accounting of how effective resistance change with morphology and materials. The increased understanding of cell resistances will enable improved design of cells for high-power applications, such as hybrid and plug-in-hybrid electric vehicles. It was found electronic and liquid-phase ionic transport resistances are strongly coupled to particle conductivity, size, and distribution of particle sizes. The accuracy of determining effective resistances was increased by accounting for how particle's size, volume fraction, and electronic conductivity affect electronic resistances and by more accurately determining how cell morphology influences effective liquid-phase transport resistances. These model additions are used to better understand the cause for decreased utilization of active materials for relatively highly loaded lithium-ion cathodes at high discharge rates. Lithium cobalt and ruthenium oxides were tested and modeled individually and together in mixed-oxide cathodes to understand how the superior material properties relative to each other can work together to reduce cell resistances while maximizing energy storage. It was found for lithium cobalt oxide, a material with low electronic conductivity, its low rate (1C) performance is dominated by local electronic resistances between particles. At high rates (5C or higher) diffusional resistance in the liquid electrolyte had the greatest influence on cell performance. It was found in the mixed-oxide system that the performance of lithium cobalt oxide was improved by decreasing its local electronic losses due to the addition of lithium ruthenium oxide, a highly conductive active material, which improved the number of electron pathways to lithium cobalt oxide thereby decreasing local electronic losses.

Modeling transport properties and electrochemical performance of hierarchically structured lithium-ion battery cathodes using resistor networks and mathematical half-cell models

Modeling transport properties and electrochemical performance of hierarchically structured lithium-ion battery cathodes using resistor networks and mathematical half-cell models
Author: Birkholz, Oleg
Publisher: KIT Scientific Publishing
Total Pages: 246
Release: 2022-10-05
Genre: Science
ISBN: 373151172X

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Hierarchically structured active materials in electrodes of lithium-ion cells are promising candidates for increasing gravimetric energy density and improving rate capability of the system. To investigate the influence of cathode structures on the performance of the whole cell, efficient tools for calculating effective transport properties of granular systems are developed and their influence on the electrochemical performance is investigated in specially adapted cell models.

Impedance Spectroscopy

Impedance Spectroscopy
Author: Evgenij Barsoukov
Publisher: John Wiley & Sons
Total Pages: 1088
Release: 2018-03-22
Genre: Science
ISBN: 1119333180

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The Essential Reference for the Field, Featuring Protocols, Analysis, Fundamentals, and the Latest Advances Impedance Spectroscopy: Theory, Experiment, and Applications provides a comprehensive reference for graduate students, researchers, and engineers working in electrochemistry, physical chemistry, and physics. Covering both fundamentals concepts and practical applications, this unique reference provides a level of understanding that allows immediate use of impedance spectroscopy methods. Step-by-step experiment protocols with analysis guidance lend immediate relevance to general principles, while extensive figures and equations aid in the understanding of complex concepts. Detailed discussion includes the best measurement methods and identifying sources of error, and theoretical considerations for modeling, equivalent circuits, and equations in the complex domain are provided for most subjects under investigation. Written by a team of expert contributors, this book provides a clear understanding of impedance spectroscopy in general as well as the essential skills needed to use it in specific applications. Extensively updated to reflect the field’s latest advances, this new Third Edition: Incorporates the latest research, and provides coverage of new areas in which impedance spectroscopy is gaining importance Discusses the application of impedance spectroscopy to viscoelastic rubbery materials and biological systems Explores impedance spectroscopy applications in electrochemistry, semiconductors, solid electrolytes, corrosion, solid state devices, and electrochemical power sources Examines both the theoretical and practical aspects, and discusses when impedance spectroscopy is and is not the appropriate solution to an analysis problem Researchers and engineers will find value in the immediate practicality, while students will appreciate the hands-on approach to impedance spectroscopy methods. Retaining the reputation it has gained over years as a primary reference, Impedance Spectroscopy: Theory, Experiment, and Applications once again present a comprehensive reference reflecting the current state of the field.

Physically based Impedance Modelling of Lithium-Ion Cells

Physically based Impedance Modelling of Lithium-Ion Cells
Author: Illig, Joerg
Publisher: KIT Scientific Publishing
Total Pages: 231
Release: 2014-09-19
Genre: Technology & Engineering
ISBN: 3731502461

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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.

Battery Management Systems

Battery Management Systems
Author: H.J. Bergveld
Publisher: Springer Science & Business Media
Total Pages: 311
Release: 2013-03-09
Genre: Science
ISBN: 9401708436

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Battery Management Systems - Design by Modelling describes the design of Battery Management Systems (BMS) with the aid of simulation methods. The basic tasks of BMS are to ensure optimum use of the energy stored in the battery (pack) that powers a portable device and to prevent damage inflicted on the battery (pack). This becomes increasingly important due to the larger power consumption associated with added features to portable devices on the one hand and the demand for longer run times on the other hand. In addition to explaining the general principles of BMS tasks such as charging algorithms and State-of-Charge (SoC) indication methods, the book also covers real-life examples of BMS functionality of practical portable devices such as shavers and cellular phones. Simulations offer the advantage over measurements that less time is needed to gain knowledge of a battery's behaviour in interaction with other parts in a portable device under a wide variety of conditions. This knowledge can be used to improve the design of a BMS, even before a prototype of the portable device has been built. The battery is the central part of a BMS and good simulation models that can be used to improve the BMS design were previously unavailable. Therefore, a large part of the book is devoted to the construction of simulation models for rechargeable batteries. With the aid of several illustrations it is shown that design improvements can indeed be realized with the presented battery models. Examples include an improved charging algorithm that was elaborated in simulations and verified in practice and a new SoC indication system that was developed showing promising results. The contents of Battery Management Systems - Design by Modelling is based on years of research performed at the Philips Research Laboratories. The combination of basic and detailed descriptions of battery behaviour both in chemical and electrical terms makes this book truly multidisciplinary. It can therefore be read both by people with an (electro)chemical and an electrical engineering background.

INTERPLAY OF IONIC TRANSPORT AND CRYSTAL FACETS IN LITHIUM-ION BATTERY CATHODES

INTERPLAY OF IONIC TRANSPORT AND CRYSTAL FACETS IN LITHIUM-ION BATTERY CATHODES
Author:
Publisher:
Total Pages:
Release: 2018
Genre:
ISBN:

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Abstract : Cathode crystals in lithium-ion batteries act as the host for the (de)intercalation for lithium ions. The diffusion of lithium ions in layered or tunneled cathode crystals is highly selective along certain crystal plans or directions. Exposed facets of the cathode crystals can greatly affect the diffusion of lithium ions within the electrode, which in return affect the electrochemical performances of the batteries. In this dissertation, layered LiCoO2 and tunnel-based beta MnO2 were selected as two individual systems to evaluate the effect of mechanical stress and exposed crystal facets on the lithium ion diffusion in these two cathode materials, respectively. For the layered LiCoO2 cathode, the effect of mechanical stress on lithium ion diffusion in layered LiCoO2 cathode was investigated using conductive atomic force microscopy (C-AFM). Higher localized mechanical stress could induce more active lithium ion redistribution along the grain boundaries than the grain interiors. The external stress field within 100 nN could induce the resistive-switching effect of the LiCoO2 cathode. For the tunnel-based beta MnO2 cathode, high-resolution transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM) were used to real the lateral facets evolution mechanism in both nanowire and microrod morphologies. The evolution of lateral facets was found to follow the shift from {100} facets to {110} facets because of the relatively high surface energies of the {100} facets compared with {110} facets. Further studies show the micro-sized beta MnO2 was formed through oriented attachment and subsequent direct phase transition from a-KxMnO2 nanowires. The 9 concentration of potassium cations (K+) could be used to control the morphology of the obtained beta MnO2 crystals. The morphology changed from bipyramid prism to octahedron when the concentration of K+ increase from 0.02 M to 0.09 M. The role of K+ cations was revealed to affect both the formation and phase transition of a-KxMnO2 intermediate. The two morphologies were identified with highly exposed {100} and {111} facets, respectively. The effect of crystal facets on the electrochemical and catalytic performance of beta MnO2 was further studies based on the application of these two morphologies in lithium-ion batteries, supercapacitors, and lithium-air batteries systems, respectively. The results show, the highly exposed {111} facets offered beta MnO2 higher lithium ion mobility inside the structure and thus better rate performance because of highly exposed open tunnels. The {100} facets of beta MnO2 offered higher specific capacitance as the electrode for supercapacitors, which is due to the highly exposed Mn centers on the {100} facets compared with {111}. As the cathode catalyst for lithium-air batteries, both facets showed effective catalytic activities in reducing the charge and discharge overpotential; the {111} facets of beta MnO2 was, for the first time, revealed to catalyze a solution-based mechanism for the formation of LiO2 intermediate even in a low donor number electrolyte.

Mathematical Modeling of Lithium Batteries

Mathematical Modeling of Lithium Batteries
Author: Krishnan S. Hariharan
Publisher: Springer
Total Pages: 213
Release: 2017-12-28
Genre: Technology & Engineering
ISBN: 3319035274

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This book is unique to be the only one completely dedicated for battery modeling for all components of battery management system (BMS) applications. The contents of this book compliment the multitude of research publications in this domain by providing coherent fundamentals. An explosive market of Li ion batteries has led to aggressive demand for mathematical models for battery management systems (BMS). Researchers from multi-various backgrounds contribute from their respective background, leading to a lateral growth. Risk of this runaway situation is that researchers tend to use an existing method or algorithm without in depth knowledge of the cohesive fundamentals—often misinterpreting the outcome. It is worthy to note that the guiding principles are similar and the lack of clarity impedes a significant advancement. A repeat or even a synopsis of all the applications of battery modeling albeit redundant, would hence be a mammoth task, and cannot be done in a single offering. The authors believe that a pivotal contribution can be made by explaining the fundamentals in a coherent manner. Such an offering would enable researchers from multiple domains appreciate the bedrock principles and forward the frontier. Battery is an electrochemical system, and any level of understanding cannot ellipse this premise. The common thread that needs to run across—from detailed electrochemical models to algorithms used for real time estimation on a microchip—is that it be physics based. Build on this theme, this book has three parts. Each part starts with developing a framework—often invoking basic principles of thermodynamics or transport phenomena—and ends with certain verified real time applications. The first part deals with electrochemical modeling and the second with model order reduction. Objective of a BMS is estimation of state and health, and the third part is dedicated for that. Rules for state observers are derived from a generic Bayesian framework, and health estimation is pursued using machine learning (ML) tools. A distinct component of this book is thorough derivations of the learning rules for the novel ML algorithms. Given the large-scale application of ML in various domains, this segment can be relevant to researchers outside BMS domain as well. The authors hope this offering would satisfy a practicing engineer with a basic perspective, and a budding researcher with essential tools on a comprehensive understanding of BMS models.

Study of Ionic Liquid as Novel Electrolyte for Next Generation Li Batteries

Study of Ionic Liquid as Novel Electrolyte for Next Generation Li Batteries
Author: Kisoo Yoo
Publisher:
Total Pages: 175
Release: 2015
Genre:
ISBN:

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The main focus of this work is to develop mathematical and computational models for next generation lithium batteries. There are three major parts in this work. In the first part, a mathematical model was developed to study the performance of lithium-air batteries considering the significant volume changes at the anode and cathode sides. Here, moving boundary technique was used to obtain governing equations for transport of lithium ions and oxygen as well as for liquid phase potential. A numerical method was introduced to solve moving boundary problem using finite volume method. Using this model, the electric performance of lithium-air battery was obtained for various load conditions. Numerical results indicate that cell voltage drops faster with increase in load. The volume change significantly affects the electrical performance of lithium-air cell. Highly soluble lithium peroxide can reduce the passivation in the cathode, but it can also reduce the effective reaction area in the anode. However, the benefit of the former outweighs the detriment of later phenomenon.

From Intrinsic to Extrinsic Design of Lithium-Ion Battery Layered Oxide Cathode Material Via Doping Strategies

From Intrinsic to Extrinsic Design of Lithium-Ion Battery Layered Oxide Cathode Material Via Doping Strategies
Author: Chul-Ho Jung
Publisher: Springer Nature
Total Pages: 72
Release: 2022-10-20
Genre: Technology & Engineering
ISBN: 9811963983

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This book addresses the comprehensive understanding of Ni-rich layered oxide of lithium-ion batteries cathodes materials, especially focusing on the effect of dopant on the intrinsic and extrinsic effect to its host materials. This book can be divided into three parts, that is, 1. overall understanding of layered oxide system, 2. intrinsic effect of dopant on layered oxides, and 3. extrinsic effect of dopant on layered oxides. To truly understand and discover the fundamental solution (e.g. doping) to improve the Ni-rich layered oxides cathodic performance, understanding the foundation of layered oxide degradation mechanism is the key, thus, the first chapter focuses on discovering the true degradation mechanisms of layered oxides systems. Then, the second and third chapter deals with the effect of dopant on alleviating the fundamental degradation mechanism of Ni-rich layered oxides, which we believe is the first insight ever been provided. The content described in this book will provide research insight to develop high-performance Ni-rich layered oxide cathode materials and serve as a guide for those who study energy storage systems. ​