Download or read book Lifetime prediction on lithium ion battery cell and system level Band 8 written by Severin Lukas Hahn and published by Cuvillier Verlag. This book was released on 2022-08-23 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lithium-Ionen Batteriesysteme leiden unter elektrochemischen Degradations- und Ausfallmechanismen, die nur mit hohem Testaufwand abzusichern sind. Daher verfolgt diese Arbeit das Ziel, Prädiktionen des kalendarischen Kapazitätsverlustes und der Druckentwicklung auf Zell- und Systemebene zu verbessern. Eine fundamentale Inkonsistenz semi-empirischer kalendarischer Alterungsmodelle konnte aufgrund theoretischer Überlegungen aufgelöst werden, indem der Einfluss der initialen Anodendeckschicht berücksichtigt wird. Ein neuartiges Validierungskonzept, welches durch maschinelles Lernen inspiriert wurde, konnte die dadurch verbessere Prognosefähigkeit gegenüber der Literatur aufzeigen. Das Verhalten von Einzelzellen in repräsentativer Modulverspannung konnte auf einer neuen aktiv geregelte Zellpresse untersucht werden und schuf grundlegendes Verständnis. Die Presse ermöglichte damit die Systemmodellierung der Druckentwicklung, deren detaillierte Parametrisierung und die Messung des Gasverdrängungsdruckes von laminierten Zellen. Durch die Messung der Druckentwicklung in Alterungsversuchen von Modulen konnte die Modellprädiktion auf Systemebene erfolgreich für Moduldesigns validiert werden.
Download or read book Degradation Mechanisms and Lifetime Prediction for Lithium Ion Batteries A Control Perspective Preprint written by and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive models of Li-ion battery lifetime must consider a multiplicity of electrochemical, thermal, and mechanical degradation modes experienced by batteries in application environments. To complicate matters, Li-ion batteries can experience different degradation trajectories that depend on storage and cycling history of the application environment. Rates of degradation are controlled by factors such as temperature history, electrochemical operating window, and charge/discharge rate. We present a generalized battery life prognostic model framework for battery systems design and control. The model framework consists of trial functions that are statistically regressed to Li-ion cell life datasets wherein the cells have been aged under different levels of stress. Degradation mechanisms and rate laws dependent on temperature, storage, and cycling condition are regressed to the data, with multiple model hypotheses evaluated and the best model down-selected based on statistics. The resulting life prognostic model, implemented in state variable form, is extensible to arbitrary real-world scenarios. The model is applicable in real-time control algorithms to maximize battery life and performance. We discuss efforts to reduce lifetime prediction error and accommodate its inevitable impact in controller design.
Download or read book Experimental Aging and Lifetime Prediction in Grid Applications for Large Format Commercial Li Ion Batteries written by and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the growth of electric vehicle and stationary energy storage markets, the production and use of lithium-ion batteries has grown exponentially in recent years. For many of these applications, large-format lithium-ion batteries are being utilized, as large cells have less inactive material relative to their energy capacity and require fewer electrical connections to assemble into packs. And especially for stationary energy storage systems, where energy delivered is the only revenue source, the economics of these battery systems is highly dependent on cell lifetime. However, testing of large-format lithium-ion batteries is time consuming and requires high current channels and large testing chambers, making information on the performance of commercial, large-format lithium-ion batteries hard to come by. Here, accelerated aging test data from four commercial large-format lithium-ion batteries is reported. These batteries span both NMC-Gr and LFP-Gr cell chemistries, pouch and prismatic formats, and a range of cell designs with varying power capabilities. Accelerated aging test results are analyzed to examine both cell performance, in terms of efficiency and thermal response under load, as well as cell lifetime. Cell thermal response is characterized by measuring temperature during cycle aging, which is used to calculated a normalized thermal resistance value that may help estimate both cell cooling needs or to help extrapolate aging test results to different thermal environments. Cell lifetime is evaluated qualitatively, considering simply the average calendar and cycle life across a range of conditions, as well as quantitatively, using statistical modeling and machine-learning methods to identify predictive aging models from the accelerated aging data. These predictive aging models are then used to investigate cell sensitivities to stressors, such as cycling temperature, voltage window, and C-rate, as well as to predict cell lifetime in various stationary storage applications. Results from this work show that cell lifetime and sensitivity to aging conditions varies substantially across commercial cells, necessitating testing for specific cell formats to make quantitative lifetime predictions. That being said, all commercial cells tested here are predicted to reach at least 10-year lifetimes for stationary storage applications. Based on the aging test results and modeling, some cells are expected to be relatively insensitive to temperature and use-case, making them suited for simple use cases with little or no thermal management and simple controls, while the lifetime of other cells could be extended to 20+ years if operated with thermal management and degradation-aware controls.
Download or read book Battery Management Systems written by Gregory L. Plett and published by Artech House Publishers. This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-Of-The-Art applications of equivalent-circuit methods as they pertain to solving problems in battery management and control.
Download or read book Applied Technologies written by Miguel Botto-Tobar and published by Springer Nature. This book was released on 2020-03-02 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thirs volume of the three-volume set (CCIS 1193, 1194, 1195) constitutes the refereed proceedings of the First International Conference on Applied Technologies, ICAT 2019, held in Quito, Ecuador, in December 2019. The 124 full papers were carefully reviewed and selected from 328 submissions. The papers are organized according to the following topics: technology trends; computing; intelligent systems; machine vision; security; communication; electronics; e-learning; e-government; e-participation.
Download or read book Encyclopedia of Electrochemical Power Sources written by and published by Elsevier. This book was released on 2024-09-16 with total page 5674 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of Electrochemical Power Sources, Second Edition, is a comprehensive seven-volume set that serves as a vital interdisciplinary reference for those working with batteries, fuel cells, electrolyzers, supercapacitors, and photo-electrochemical cells. With an increased focus on the environmental and economic impacts of electrochemical power sources, this work not only consolidates extensive coverage of the field but also serves as a gateway to the latest literature for professionals and students alike. The field of electrochemical power sources has experienced significant growth and development since the first edition was published in 2009. This is reflected in the exponential growth of the battery market, the improvement of many conventional systems, and the introduction of new systems and technologies. This completely revised second edition captures these advancements, providing updates on all scientific, technical, and economic developments over the past decade. Thematically arranged, this edition delves into crucial areas such as batteries, fuel cells, electrolyzers, supercapacitors, and photo-electrochemical cells. It explores challenges and advancements in electrode and electrolyte materials, structural design, optimization, application of novel materials, and performance analysis. This comprehensive resource, with its focus on the future of electrochemical power sources, is an essential tool for navigating this rapidly evolving field. - 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 365 articles, with timely coverage of environmental and sustainability aspects - Arranged thematically to facilitate easy navigation of topics and easy exploration of the field across its key branches - Follows a consistent structure and features elements such as key objective boxes, summaries, figures, references, and cross-references etc., to help students, faculty, and professionals alike
Download or read book Advances in Lithium Ion Batteries for Electric Vehicles written by Haifeng Dai and published by Elsevier. This book was released on 2024-02-15 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Safety and Reliability Methodology and Applications written by Tomasz Nowakowski and published by CRC Press. This book was released on 2014-09-01 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the last fifty years the performance requirements for technical objects and systems were supplemented with: customer expectations (quality), abilities to prevent the loss of the object properties in operation time (reliability and maintainability), protection against the effects of undesirable events (safety and security) and the ability to
Download or read book Life Prediction Model for Grid Connected Li ion Battery Energy Storage System Preprint written by and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Life Prediction Model for Grid-Connected Li-ion Battery Energy Storage System: Preprint Lithium-ion (Li-ion) batteries are being deployed on the electrical grid for a variety of purposes, such as to smooth fluctuations in solar renewable power generation. The lifetime of these batteries will vary depending on their thermal environment and how they are charged and discharged. To optimal utilization of a battery over its lifetime requires characterization of its performance degradation under different storage and cycling conditions. Aging tests were conducted on commercial graphite/nickel-manganese-cobalt (NMC) Li-ion cells. A general lifetime prognostic model framework is applied to model changes in capacity and resistance as the battery degrades. Across 9 aging test conditions from 0oC to 55oC, the model predicts capacity fade with 1.4 percent RMS error and resistance growth with 15 percent RMS error. The model, recast in state variable form with 8 states representing separate fade mechanisms, is used to extrapolate lifetime for example applications of the energy storage system integrated with renewable photovoltaic (PV) power generation.
Download or read book Lifetime Prediction for Lithium ion Batteries Undergoing Fast Charging Protocols written by Michael Forsuelo and published by . This book was released on 2019 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis describes the application of Porous Electrode Theory and supervised machine learning to lifetime prediction for 18650 lithium iron phosphate (LiFePO4 LFP)/graphite cells subject to mixed galvanostatic and potentiostatic fast charging policies. Porous Electrode Theory is used to predict battery lifetime by parameteric reductions of effective solid-phase Fickian diffusivities, electrolytic Stefan-Maxwell diffusivity, and Butler-Volmer exchange currents. Parameter estimation and uncertainty quantification are formulated as least squares optimization over galvanostatic discharge curves with Bayesian estimation of uncertainties. A battery lifetime approach from the literature is extended with identifiability analysis to enhance fidelity of the inverse problem, the attribution of degradation modes, and the accuracy of parametric power-law lifetime predictions. Multiphase Porous Electrode Theory (MPET) is also explored in this thesis. In MPET, each particle of the porous electrode ensemble is described by generalized Allen-Cahn-Hilliard dynamics. Single-particle dynamics are governed by firstprinciples free energy landscapes as opposed to inductive fits to open-circuit battery voltages. Multiscale parameter estimation and central limit theorem analysis are implemented, enhancing the suitability of MPET for capacity fade predictions. Supervised machine learning algorithms utilizing feature-based correlations for battery lifetime are described. Electrochemical features that go beyond the discharge-only model provide improved lifetime predictions, generalized voltage analysis indiscrimant of (dis)charge protocol or data, and a clear connection between battery physics and machine learning, and suggest an optimal charging protocol.
Download or read book Handbook on Battery Energy Storage System written by Asian Development Bank and published by Asian Development Bank. This book was released on 2018-12-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook serves as a guide to deploying battery energy storage technologies, specifically for distributed energy resources and flexibility resources. Battery energy storage technology is the most promising, rapidly developed technology as it provides higher efficiency and ease of control. With energy transition through decarbonization and decentralization, energy storage plays a significant role to enhance grid efficiency by alleviating volatility from demand and supply. Energy storage also contributes to the grid integration of renewable energy and promotion of microgrid.
Download or read book Life Prediction Model for Grid Connected Li ion Battery Energy Storage System written by and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lithium-ion (Li-ion) batteries are being deployed on the electrical grid for a variety of purposes, such as to smooth fluctuations in solar renewable power generation. The lifetime of these batteries will vary depending on their thermal environment and how they are charged and discharged. To optimal utilization of a battery over its lifetime requires characterization of its performance degradation under different storage and cycling conditions. Aging tests were conducted on commercial graphite/nickel-manganese-cobalt (NMC) Li-ion cells. A general lifetime prognostic model framework is applied to model changes in capacity and resistance as the battery degrades. Across 9 aging test conditions from 0oC to 55oC, the model predicts capacity fade with 1.4% RMS error and resistance growth with 15% RMS error. The model, recast in state variable form with 8 states representing separate fade mechanisms, is used to extrapolate lifetime for example applications of the energy storage system integrated with renewable photovoltaic (PV) power generation.
Download or read book Advances in Battery Technologies for Electric Vehicles written by Bruno Scrosati and published by Woodhead Publishing. This book was released on 2015-05-25 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Battery Technologies for Electric Vehicles provides an in-depth look into the research being conducted on the development of more efficient batteries capable of long distance travel. The text contains an introductory section on the market for battery and hybrid electric vehicles, then thoroughly presents the latest on lithium-ion battery technology. Readers will find sections on battery pack design and management, a discussion of the infrastructure required for the creation of a battery powered transport network, and coverage of the issues involved with end-of-life management for these types of batteries. - Provides an in-depth look into new research on the development of more efficient, long distance travel batteries - Contains an introductory section on the market for battery and hybrid electric vehicles - Discusses battery pack design and management and the issues involved with end-of-life management for these types of batteries
Download or read book The Handbook of Lithium Ion Battery Pack Design written by John T. Warner and published by Elsevier. This book was released on 2024-05-14 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Lithium-Ion Battery Pack Design: Chemistry, Components, Types and Terminology,?Second Edition provides a clear and concise explanation of EV and Li-ion batteries for readers that are new to the field. The second edition expands and updates all topics covered in the original book, adding more details to all existing chapters and including major updates to align with all of the rapid changes the industry has experienced over the past few years. This handbook offers a layman's explanation of the history of vehicle electrification and battery technology, describing the various terminology and acronyms and explaining how to do simple calculations that can be used in determining basic battery sizing, capacity, voltage, and energy. By the end of this book the reader will have a solid understanding of the terminology around Li-ion batteries and be able to undertake simple battery calculations. The book is immensely useful to beginning and experienced engineers alike who are moving into the battery field. Li-ion batteries are one of the most unique systems in automobiles today in that they combine multiple engineering disciplines, yet most engineering programs focus on only a single engineering field. This book provides the reader with a reference to the history, terminology and design criteria needed to understand the Li-ion battery and to successfully lay out a new battery concept. Whether you are an electrical engineer, a mechanical engineer or a chemist, this book will help you better appreciate the inter-relationships between the various battery engineering fields that are required to understand the battery as an Energy Storage System. It gives great insights for readers ranging from engineers to sales, marketing, management, leadership, investors, and government officials. - Adds a brief history of battery technology and its evolution to current technologies? - Expands and updates the chemistry to include the latest types - Discusses thermal runaway and cascading failure mitigation technologies? - Expands and updates the descriptions of the battery module and pack components and systems?? - Adds description of the manufacturing processes for cells, modules, and packs? - Introduces and discusses new topics such as battery-as-a-service, cell to pack and cell to chassis designs, and wireless BMS?
Download or read book Gaussian Processes for Machine Learning written by Carl Edward Rasmussen and published by MIT Press. This book was released on 2005-11-23 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.
Download or read book Lifetime Prediction and Simulation Models of Different Energy Storage Devices written by Julia Kowal and published by . This book was released on 2020 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy storage is one of the most important enablers for the transformation to a sustainable energy supply with greater mobility. For vehicles, but also for many stationary applications, the batteries used for energy storage are very flexible but also have a rather limited lifetime compared to other storage principles. This Special Issue is a collection of articles that collectively address the following questions: What are the factors influencing the aging of different energy storage technologies? How can we extend the lifetime of storage systems? How can the aging of an energy storage be detected and predicted? When do we have to exchange the storage device? The articles cover lithium-ion batteries, supercaps, and flywheels.
Download or read book Electrochemical Systems written by John Newman and published by John Wiley & Sons. This book was released on 2012-11-27 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of the cornerstone text on electrochemistry Spans all the areas of electrochemistry, from the basicsof thermodynamics and electrode kinetics to transport phenomena inelectrolytes, metals, and semiconductors. Newly updated andexpanded, the Third Edition covers important new treatments, ideas,and technologies while also increasing the book's accessibility forreaders in related fields. Rigorous and complete presentation of the fundamentalconcepts In-depth examples applying the concepts to real-life designproblems Homework problems ranging from the reinforcing to the highlythought-provoking Extensive bibliography giving both the historical developmentof the field and references for the practicing electrochemist.
