Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Batteries Theory Modeling And Simulation PDF full book. Access full book title Batteries Theory Modeling And Simulation.
| Author | : Yue Qi |
| Publisher | : The Electrochemical Society |
| Total Pages | : 152 |
| Release | : 2015 |
| Genre | : Advanced batteries |
| ISBN | : 160768666X |
| Author | : Y. Qi |
| Publisher | : |
| Total Pages | : |
| Release | : 2015 |
| Genre | : |
| ISBN | : 9781623323080 |
| Author | : Shunli Wang |
| Publisher | : Elsevier |
| Total Pages | : 356 |
| Release | : 2021-06-23 |
| Genre | : Science |
| ISBN | : 0323904335 |
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 | : John Turner |
| Publisher | : SAE International |
| Total Pages | : 98 |
| Release | : 2016-06-15 |
| Genre | : Science |
| ISBN | : 076808282X |
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.
| Author | : H.J. Bergveld |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 311 |
| Release | : 2013-03-09 |
| Genre | : Science |
| ISBN | : 9401708436 |
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.
| Author | : Shunli Wang |
| Publisher | : IET |
| Total Pages | : 297 |
| Release | : 2021-12-02 |
| Genre | : Technology & Engineering |
| ISBN | : 1839535296 |
Batteries are vital for storing renewable energy for stationary and mobile applications. Managing batteries requires knowledge of parameters such as charge and power output. State estimation estimates such parameters using measurement and modelling; a process conveyed in this book through experimental results and verification.
| Author | : Alejandro A. Franco |
| Publisher | : Springer |
| Total Pages | : 253 |
| Release | : 2015-11-12 |
| Genre | : Technology & Engineering |
| ISBN | : 1447156773 |
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 | : Sabine Attinger |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 304 |
| Release | : 2004-07-12 |
| Genre | : Mathematics |
| ISBN | : 9783540211808 |
In August 2003, ETHZ Computational Laboratory (CoLab), together with the Swiss Center for Scientific Computing in Manno and the Università della Svizzera Italiana (USI), organized the Summer School in "Multiscale Modelling and Simulation" in Lugano, Switzerland. This summer school brought together experts in different disciplines to exchange ideas on how to link methodologies on different scales. Relevant examples of practical interest include: structural analysis of materials, flow through porous media, turbulent transport in high Reynolds number flows, large-scale molecular dynamic simulations, ab-initio physics and chemistry, and a multitude of others. Though multiple scale models are not new, the topic has recently taken on a new sense of urgency. A number of hybrid approaches are now created in which ideas coming from distinct disciplines or modelling approaches are unified to produce new and computationally efficient techniques.
| Author | : Michael Caldwell Greenleaf |
| Publisher | : |
| Total Pages | : 66 |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
ABSTRACT: LiFePO4 batteries have been in existence since 1997 through the work of Padhi et al and showed promise early on due to its material abundance, low cost, low environmental impact, high temperature tolerance and theoretical capacity of 170mAh/g. Much work has been done in optimizing the cathode, electrolyte and anode materials to yield excellent results. In contrast, little work has been done in developing an accurate, physical-based model for LiFePO4 behavior. Most "models" are based from Electrochemical Impedance Spectroscopy (EIS) and used to fit the data obtained. It is easy to build several vastly different models to describe the same data, so it is therefore important to define a model based upon the physical properties of the cell. In doing so correctly it may then be possible to simplify that model while maintaining precision allowing it to be more useful to other fields. In this work, different EIS measurements were taken at uniform states of charge (SOC) and from a developed physical-based model a Li ePO4 battery was accurately described for steady-state conditions.
| Author | : Malte Schönemann |
| Publisher | : Springer |
| Total Pages | : 187 |
| Release | : 2017-01-05 |
| Genre | : Technology & Engineering |
| ISBN | : 3319493671 |
Addressing the challenge of improving battery quality while reducing high costs and environmental impacts of the production, this book presents a multiscale simulation approach for battery production systems along with a software environment and an application procedure. Battery systems are among the most important technologies of the 21st century since they are enablers for the market success of electric vehicles and stationary energy storage solutions. However, the performance of batteries so far has limited possible applications. Addressing this challenge requires an interdisciplinary understanding of dynamic cause-effect relationships between processes, equipment, materials, and environmental conditions. The approach in this book supports the integrated evaluation of improvement measures and is usable for different planning horizons. It is applied to an exemplary battery cell production and module assembly in order to demonstrate the effectiveness and potential benefits of the simulation.
