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Author : V. Subramanian,J. F. Stockel
Publisher : The Electrochemical Society
Page : 37 pages
File Size : 46,8 Mb
Release : 2012
Category : Fuel cells
ISBN : 9781566779463
Author : Krishnan S. Hariharan,Piyush Tagade,Sanoop Ramachandran
Publisher : Springer
Page : 211 pages
File Size : 55,5 Mb
Release : 2017-12-28
Category : Technology & Engineering
ISBN : 9783319035277
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.
Author : Electrochemical Society. Industrial Electrolysis and Electrochemical Engineering Division,Electrochemical Society. Energy Technology Division,Electrochemical Society. Meeting
Publisher : The Electrochemical Society
Page : 386 pages
File Size : 40,6 Mb
Release : 1998
Category : Mathematics
ISBN : 1566772044
Author : Birkholz, Oleg
Publisher : KIT Scientific Publishing
Page : 246 pages
File Size : 41,5 Mb
Release : 2022-10-05
Category : Science
ISBN : 9783731511724
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.
Author : Vincent Laue
Publisher : Unknown
Page : 129 pages
File Size : 48,7 Mb
Release : 2021-01-29
Category : Electronic
ISBN : 3832552413
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.
Author : Walter van Schalkwijk,B. Scrosati
Publisher : Springer Science & Business Media
Page : 514 pages
File Size : 54,5 Mb
Release : 2007-05-08
Category : Science
ISBN : 9780306475085
In the decade since the introduction of the first commercial lithium-ion battery research and development on virtually every aspect of the chemistry and engineering of these systems has proceeded at unprecedented levels. This book is a snapshot of the state-of-the-art and where the work is going in the near future. The book is intended not only for researchers, but also for engineers and users of lithium-ion batteries which are found in virtually every type of portable electronic product.
Author : Shunli Wang,Carlos Fernandez,Yu Chunmei,Yongcun Fan,Cao Wen,Daniel-Ioan Stroe,Zonghai Chen
Publisher : Elsevier
Page : 356 pages
File Size : 45,9 Mb
Release : 2021-06-23
Category : Science
ISBN : 9780323904339
Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage. Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates. Explains how to model battery systems, including equivalent, electrical circuit and electrochemical nernst modeling Includes comprehensive coverage of battery state estimation methods, including state of charge estimation, energy prediction, power evaluation and health estimation Provides a dedicated chapter on active control strategies
Author : Manoj Sahni,José M. Merigó,Ritu Sahni,Rajkumar Verma
Publisher : Springer Nature
Page : 496 pages
File Size : 49,9 Mb
Release : 2021-12-11
Category : Technology & Engineering
ISBN : 9789811659522
This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.
Author : Alejandro A. Franco,Marie Liesse Doublet,Wolfgang G. Bessler
Publisher : Springer
Page : 249 pages
File Size : 52,6 Mb
Release : 2015-11-12
Category : Technology & Engineering
ISBN : 9781447156772
The aim of this book is to review innovative physical multiscale modeling methods which numerically simulate the structure and properties of electrochemical devices for energy storage and conversion. Written by world-class experts in the field, it revisits concepts, methodologies and approaches connecting ab initio with micro-, meso- and macro-scale modeling of components and cells. It also discusses the major scientific challenges of this field, such as that of lithium-ion batteries. This book demonstrates how fuel cells and batteries can be brought together to take advantage of well-established multi-scale physical modeling methodologies to advance research in this area. This book also highlights promising capabilities of such approaches for inexpensive virtual experimentation. In recent years, electrochemical systems such as polymer electrolyte membrane fuel cells, solid oxide fuel cells, water electrolyzers, lithium-ion batteries and supercapacitors have attracted much attention due to their potential for clean energy conversion and as storage devices. This has resulted in tremendous technological progress, such as the development of new electrolytes and new engineering designs of electrode structures. However, these technologies do not yet possess all the necessary characteristics, especially in terms of cost and durability, to compete within the most attractive markets. Physical multiscale modeling approaches bridge the gap between materials’ atomistic and structural properties and the macroscopic behavior of a device. They play a crucial role in optimizing the materials and operation in real-life conditions, thereby enabling enhanced cell performance and durability at a reduced cost. This book provides a valuable resource for researchers, engineers and students interested in physical modelling, numerical simulation, electrochemistry and theoretical chemistry.
Author : Jürgen Garche,Chris K. Dyer,Patrick T. Moseley,Zempachi Ogumi,David A. J. Rand,Bruno Scrosati
Publisher : Newnes
Page : 4532 pages
File Size : 49,7 Mb
Release : 2013-05-20
Category : Science
ISBN : 9780444527455
The Encyclopedia of Electrochemical Power Sources is a truly interdisciplinary reference for those working with batteries, fuel cells, electrolyzers, supercapacitors, and photo-electrochemical cells. With a focus on the environmental and economic impact of electrochemical power sources, this five-volume work consolidates coverage of the field and serves as an entry point to the literature for professionals and students alike. Covers the main types of power sources, including their operating principles, systems, materials, and applications Serves as a primary source of information for electrochemists, materials scientists, energy technologists, and engineers Incorporates nearly 350 articles, with timely coverage of such topics as environmental and sustainability considerations
Author : Gregory L. Plett
Publisher : Artech House
Page : 336 pages
File Size : 49,9 Mb
Release : 2015-09-01
Category : Technology & Engineering
ISBN : 9781630810245
Large-scale battery packs are needed in hybrid and electric vehicles, utilities grid backup and storage, and frequency-regulation applications. In order to maximize battery-pack safety, longevity, and performance, it is important to understand how battery cells work. This first of its kind new resource focuses on developing a mathematical understanding of how electrochemical (battery) cells work, both internally and externally. This comprehensive resource derives physics-based micro-scale model equations, then continuum-scale model equations, and finally reduced-order model equations. This book describes the commonly used equivalent-circuit type battery model and develops equations for superior physics-based models of lithium-ion cells at different length scales. This resource also presents a breakthrough technology called the “discrete-time realization algorithm” that automatically converts physics-based models into high-fidelity approximate reduced-order models.
Author : T. W. Chapman,D. Mah,R. E. White,J. A. Trainham
Publisher : The Electrochemical Society
Page : 185 pages
File Size : 55,9 Mb
Release : 2008-10
Category : Science
ISBN : 9781566776592
Quantitative methods for the analysis and design of electrochemical systems have progressed greatly over the past forty years. Much of this progress is due to the work of Professor John Newman of the University of California-Berkeley. A tutorial symposium was organized to recognize Prof. Newman¿s contributions on the occasion of his 70th birthday. This issue contains a series of invited lectures covering the basic principles of electrochemical engineering as well as a variety of examples of applications in electrodeposition, fuel cells, batteries, and electrolytic processes.
Author : Fridolin Röder
Publisher : Unknown
Page : 0 pages
File Size : 42,5 Mb
Release : 2019
Category : Electronic
ISBN : 3832549277
This book provides a comprehensive methodology for multiscale simulation of degradation in lithium-ion batteries. The work helps to understand battery degradation processes by revealing complex multiscale effects, which cannot be taken into account by single-scale models. A novel numerical method is presented, which dynamically couples molecular models based on kinetic Monte Carlo method with macroscopic models. Moreover, the work provides mathematical models of degradation on various length scales, e.g. heterogeneous side reactions on molecular scale and the restructuring of particle size distributions on electrode scale. Instead of describing processes separately, the multiscale methodology systematically analyzes interaction of degradation processes and cell operation. The presented methodology is certainly applicable to other electrochemical systems with considerable multi-scale nature.
Author : M. Winter
Publisher : The Electrochemical Society
Page : 330 pages
File Size : 40,5 Mb
Release : 2010-04
Category : Science
ISBN : 9781566778107
The papers included in this issue of ECS Transactions were originally presented in the symposium ¿Rechargeable Lithium and Lithium-Ion Batteries¿, held during the 216th meeting of The Electrochemical Society, in Vienna, Austria from October 4 to 9, 2009.
Author : Qi Huang,Shunli Wang,Zonghai Chen,Ran Xiong,Carlos Fernandez,Daniel-I. Stroe
Publisher : Springer Nature
Page : 101 pages
File Size : 49,7 Mb
Release : 2023-08-18
Category : Technology & Engineering
ISBN : 9789819953448
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.