Modeling Transport Properties And Electrochemical Performance Of Hierarchically Structured Lithium Ion Battery Cathodes Using Resistor Networks And Mathematical Half Cell Models

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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
Page : 246 pages
File Size : 54,9 Mb
Release : 2022-10-05
Category : Science
ISBN : 9783731511724

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

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.

Dynamic Model-based Analysis of Oxygen Reduction Reaction in Gas Diffusion Electrodes

Author : Röhe, Maximilian
Publisher : KIT Scientific Publishing
Page : 178 pages
File Size : 49,6 Mb
Release : 2024-01-09
Category : Electronic
ISBN : 9783731512349

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Dynamic Model-based Analysis of Oxygen Reduction Reaction in Gas Diffusion Electrodes by Röhe, Maximilian Pdf

In this work, the first simulation model of oxygen depolarized cathodes (ODC), which are silver catalyst-based gas diffusion electrodes, is presented that considers the phase equilibrium of the gas-liquid interface and structure-related inhomogeneities in electrolyte distribution. By means of the model it has been identified that mass transport of water and ions in the liquid phase is a crucial factor for electrode performance and how it is influenced by the electrode structure.

Multiscale Modeling of Curing and Crack Propagation in Fiber-Reinforced Thermosets

Author : Schöller, Lukas
Publisher : KIT Scientific Publishing
Page : 230 pages
File Size : 43,7 Mb
Release : 2024-03-15
Category : Electronic
ISBN : 9783731513407

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Multiscale Modeling of Curing and Crack Propagation in Fiber-Reinforced Thermosets by Schöller, Lukas Pdf

During the production of fiber-reinforced thermosets, the resin material undergoes a reaction that can lead to damage. A two-stage polymerization reaction is modeled using molecular dynamics and evaluations of the system including a fiber surface are performed. In addition, a phase-field model for crack propagation in heterogeneous systems is derived. This model is able to predict crack growth where established models fail. Finally, the model is used to predict crack formation during curing.

Development of NbN based Kinetic Inductance Detectors on sapphire and diamond substrates for fusion plasma polarimetric diagnostics

Author : Mazzocchi, Francesco
Publisher : KIT Scientific Publishing
Page : 212 pages
File Size : 46,5 Mb
Release : 2022-07-01
Category : Technology & Engineering
ISBN : 9783731511816

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Development of NbN based Kinetic Inductance Detectors on sapphire and diamond substrates for fusion plasma polarimetric diagnostics by Mazzocchi, Francesco Pdf

This work aimed at designing, studying and producing the first prototypes of KIDs tailored for fusion plasma polarimetric diagnostics. Diamond was considered for the first time as substrate material for low-temperature superconducting detectors given its unmatched optical, radiation hardness and thermal qualities, properties necessary for working environments potentially saturated with radiation. This work represents a first step toward the optimization and final application of this technology.

Mathematical Modeling of Lithium Batteries

Author : Krishnan S. Hariharan,Piyush Tagade,Sanoop Ramachandran
Publisher : Springer
Page : 211 pages
File Size : 55,9 Mb
Release : 2017-12-28
Category : Technology & Engineering
ISBN : 9783319035277

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Mathematical Modeling of Lithium Batteries by Krishnan S. Hariharan,Piyush Tagade,Sanoop Ramachandran Pdf

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.

Mathematical Modeling of Lithium Ion Batteries and Cells

Author : V. Subramanian,J. F. Stockel
Publisher : The Electrochemical Society
Page : 37 pages
File Size : 50,6 Mb
Release : 2012
Category : Fuel cells
ISBN : 9781566779463

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Mathematical Modeling of Lithium Ion Batteries and Cells by V. Subramanian,J. F. Stockel Pdf

Physically based Impedance Modelling of Lithium-Ion Cells

Author : Illig, Joerg
Publisher : KIT Scientific Publishing
Page : 231 pages
File Size : 41,7 Mb
Release : 2014-09-19
Category : Technology & Engineering
ISBN : 9783731502463

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Physically based Impedance Modelling of Lithium-Ion Cells by Illig, Joerg Pdf

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.

Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs

Author : Qi Huang,Shunli Wang,Zonghai Chen,Ran Xiong,Carlos Fernandez,Daniel-I. Stroe
Publisher : Springer Nature
Page : 101 pages
File Size : 46,8 Mb
Release : 2023-08-18
Category : Technology & Engineering
ISBN : 9789819953448

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Long-Term Health State Estimation of Energy Storage Lithium-Ion Battery Packs by Qi Huang,Shunli Wang,Zonghai Chen,Ran Xiong,Carlos Fernandez,Daniel-I. Stroe Pdf

This book investigates in detail long-term health state estimation technology of energy storage systems, assessing its potential use to replace common filtering methods that constructs by equivalent circuit model with a data-driven method combined with electrochemical modeling, which can reflect the battery internal characteristics, the battery degradation modes, and the battery pack health state. Studies on long-term health state estimation have attracted engineers and scientists from various disciplines, such as electrical engineering, materials, automation, energy, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of extraction for health indicators and the significant influence of electrochemical modeling and data-driven issues in the design and optimization of health state estimation in energy storage systems. The book is intended for undergraduate and graduate students who are interested in new energy measurement and control technology, researchers investigating energy storage systems, and structure/circuit design engineers working on energy storage cell and pack.

Modeling and State Estimation of Automotive Lithium-Ion Batteries

Author : Shunli Wang,Fan Wu,Jialu Qiao,Carlos Fernandez,Josep M Guerrero
Publisher : CRC Press
Page : 145 pages
File Size : 53,8 Mb
Release : 2024-07-16
Category : Science
ISBN : 9781040046753

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Modeling and State Estimation of Automotive Lithium-Ion Batteries by Shunli Wang,Fan Wu,Jialu Qiao,Carlos Fernandez,Josep M Guerrero Pdf

This book aims to evaluate and improve the state of charge (SOC) and state of health (SOH) of automotive lithium-ion batteries. The authors first introduce the basic working principle and dynamic test characteristics of lithium-ion batteries. They present the dynamic transfer model, compare it with the traditional second-order reserve capacity (RC) model, and demonstrate the advantages of the proposed new model. In addition, they propose the chaotic firefly optimization algorithm and demonstrate its effectiveness in improving the accuracy of SOC and SOH estimation through theoretical and experimental analysis. The book will benefit researchers and engineers in the new energy industry and provide students of science and engineering with some innovative aspects of battery modeling.

Advanced Battery Materials

Author : Chunwen Sun
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 53,6 Mb
Release : 2019-03-26
Category : Technology & Engineering
ISBN : 9781119407669

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Advanced Battery Materials by Chunwen Sun Pdf

Electrochemical energy storage has played important roles in energy storage technologies for portable electronics and electric vehicle applications. During the past thirty years, great progress has been made in research and development of various batteries, in term of energy density increase and cost reduction. However, the energy density has to be further increased to achieve long endurance time. In this book, recent research and development in advanced electrode materials for electrochemical energy storage devices are presented, including lithium ion batteries, lithium-sulfur batteries and metal-air batteries, sodium ion batteries and supercapacitors. The materials involve transition metal oxides, sulfides, Si-based material as well as graphene and graphene composites.

Rational Design of Nanostructured Polymer Electrolytes and Solid–Liquid Interphases for Lithium Batteries

Author : Snehashis Choudhury
Publisher : Springer Nature
Page : 230 pages
File Size : 48,8 Mb
Release : 2019-09-25
Category : Technology & Engineering
ISBN : 9783030289430

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Rational Design of Nanostructured Polymer Electrolytes and Solid–Liquid Interphases for Lithium Batteries by Snehashis Choudhury Pdf

This thesis makes significant advances in the design of electrolytes and interfaces in electrochemical cells that utilize reactive metals as anodes. Such cells are of contemporary interest because they offer substantially higher charge storage capacity than state-of-the-art lithium-ion battery technology. Batteries based on metallic anodes are currently considered impractical and unsafe because recharge of the anode causes physical and chemical instabilities that produce dendritic deposition of the metal leading to catastrophic failure via thermal runaway. This thesis utilizes a combination of chemical synthesis, physical & electrochemical analysis, and materials theory to investigate structure, ion transport properties, and electrochemical behaviors of hybrid electrolytes and interfacial phases designed to prevent such instabilities. In particular, it demonstrates that relatively low-modulus electrolytes composed of cross-linked networks of polymer-grafted nanoparticles stabilize electrodeposition of reactive metals by multiple processes, including screening electrode electrolyte interactions at electrochemical interfaces and by regulating ion transport in tortuous nanopores. This discovery is significant because it overturns a longstanding perception in the field of nanoparticle-polymer hybrid electrolytes that only solid electrolytes with mechanical modulus higher than that of the metal electrode are able to stabilize electrodeposition of reactive metals.

Advances in Lithium-Ion Batteries for Electric Vehicles

Author : Haifeng Dai,Jiangong Zhu
Publisher : Elsevier
Page : 326 pages
File Size : 41,8 Mb
Release : 2024-02-26
Category : Technology & Engineering
ISBN : 9780443155444

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Advances in Lithium-Ion Batteries for Electric Vehicles by Haifeng Dai,Jiangong Zhu Pdf

Advances in Lithium-Ion Batteries for Electric Vehicles: Degradation Mechanism, Health Estimation, and Lifetime Prediction examines the electrochemical nature of lithium-ion batteries, including battery degradation mechanisms and how to manage the battery state of health (SOH) to meet the demand for sustainable development of electric vehicles. With extensive case studies, methods and applications, the book provides practical, step-by-step guidance on battery tests, degradation mechanisms, and modeling and management strategies. The book begins with an overview of Li-ion battery aging and battery aging tests before discussing battery degradation mechanisms and methods for analysis. Further methods are then presented for battery state of health estimation and battery lifetime prediction, providing a range of case studies and techniques. The book concludes with a thorough examination of lifetime management strategies for electric vehicles, making it an essential resource for students, researchers, and engineers needing a range of approaches to tackle battery degradation in electric vehicles. Evaluates the cause of battery degradation from the material level to the cell level Explains key battery basic lifetime test methods and strategies Presents advanced technologies of battery state of health estimation

Electrochemical Modeling in the Context of Production of Lithium-Based Batteries

Author : Vincent Laue
Publisher : Unknown
Page : 129 pages
File Size : 52,5 Mb
Release : 2021-01-29
Category : Electronic
ISBN : 3832552413

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Electrochemical Modeling in the Context of Production of Lithium-Based Batteries by Vincent Laue Pdf

This book addresses the two most prominent shortcomings of a commonly used physics-based electrochemical model of a lithium-ion battery, namely ambiguous identifiability, and coarse representation of the electrode microstructure. The first shortcoming is tackled with an enhanced parametrization routine and the second with surrogate models, derived from a full-3D microstructure model. All models and results are related to the production of lithium-ion battery cells.

Progress in Modeling and Simulation of Batteries

Author : John Turner
Publisher : SAE International
Page : 98 pages
File Size : 54,9 Mb
Release : 2016-06-15
Category : Technology & Engineering
ISBN : 9780768083668

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Progress in Modeling and Simulation of Batteries by John Turner Pdf

Modeling and simulation of batteries, in conjunction with theory and experiment, are important research tools that offer opportunities for advancement of technologies that are critical to electric motors. The development of data from the application of these tools can provide the basis for managerial and technical decision-making. Together, these will continue to transform batteries for electric vehicles. This collection of nine papers presents the modeling and simulation of batteries and the continuing contribution being made to this impressive progress, including topics that cover: • Thermal behavior and characteristics • Battery management system design and analysis • Moderately high-fidelity 3D capabilities • Optimization Techniques and Durability As electric vehicles continue to gain interest from manufacturers and consumers alike, improvements in economy and affordability, as well as adoption of alternative fuel sources to meet government mandates are driving battery research and development. Progress in modeling and simulation will continue to contribute to battery improvements that deliver increased power, energy storage, and durability to further enhance the appeal of electric vehicles.

Design, Fabrication and Electrochemical Performance of Nanostructured Carbon Based Materials for High-Energy Lithium–Sulfur Batteries

Author : Guangmin Zhou
Publisher : Springer
Page : 115 pages
File Size : 45,9 Mb
Release : 2017-02-09
Category : Science
ISBN : 9789811034060

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Design, Fabrication and Electrochemical Performance of Nanostructured Carbon Based Materials for High-Energy Lithium–Sulfur Batteries by Guangmin Zhou Pdf

This book focuses on the design, fabrication and applications of carbon-based materials for lithium-sulfur (Li-S) batteries. It provides insights into the localized electrochemical transition of the “solid-solid” reaction instead of the “sulfur-polysulfides-lithium sulfides” reaction through the desolvation effect in subnanometer pores; demonstrates that the dissolution/diffusion of polysulfide anions in electrolyte can be greatly reduced by the strong binding of sulfur to the oxygen-containing groups on reduced graphene oxide; manifests that graphene foam can be used as a 3D current collector for high sulfur loading and high sulfur content cathodes; and presents the design of a unique sandwich structure with pure sulfur between two graphene membranes as a very simple but effective approach to the fabrication of Li-S batteries with ultrafast charge/discharge rates and long service lives. The book offers an invaluable resource for researchers, scientists, and engineers in the field of energy storage, providing essential insights, useful methods, and practical ideas that can be considered for the industrial production and future application of Li-S batteries.