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Predictive Models Of Li Ion Battery Lifetime Presentation
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Book Synopsis Predictive Models of Li-ion Battery Lifetime (Presentation). by :
Download or read book Predictive Models of Li-ion Battery Lifetime (Presentation). written by and published by . This book was released on 2014 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive models of Li-ion battery reliability must consider a multiplicity of electrochemical, thermal and mechanical degradation modes experienced by batteries in application environments. Complicating matters, Li-ion batteries can experience several path dependent degradation trajectories dependent 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. Lacking accurate models and tests, lifetime uncertainty must be absorbed by overdesign and warranty costs. Degradation models are needed that predict lifetime more accurately and with less test data. Models should also provide engineering feedback for next generation battery designs. This presentation reviews both multi-dimensional physical models and simpler, lumped surrogate models of battery electrochemical and mechanical degradation. Models are compared with cell- and pack-level aging data from commercial Li-ion chemistries. The analysis elucidates the relative importance of electrochemical and mechanical stress-induced degradation mechanisms in real-world operating environments. Opportunities for extending the lifetime of commercial battery systems are explored.
Book Synopsis Advanced Models and Controls for Prediction and Extension of Battery Lifetime (Presentation). by :
Download or read book Advanced Models and Controls for Prediction and Extension of Battery Lifetime (Presentation). written by and published by . This book was released on 2014 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive models of capacity and power fade must consider a multiplicity of degradation modes experienced by Li-ion batteries in the automotive environment. Lacking accurate models and tests, lifetime uncertainty must presently be absorbed by overdesign and excess warranty costs. To reduce these costs and extend life, degradation models are under development that predict lifetime more accurately and with less test data. The lifetime models provide engineering feedback for cell, pack and system designs and are being incorporated into real-time control strategies.
Book Synopsis Advanced Models and Controls for Prediction and Extension of Battery Lifetime (Presentation) by :
Download or read book Advanced Models and Controls for Prediction and Extension of Battery Lifetime (Presentation) written by and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive models of capacity and power fade must consider a multiplicity of degradation modes experienced by Li-ion batteries in the automotive environment. Lacking accurate models and tests, lifetime uncertainty must presently be absorbed by overdesign and excess warranty costs. To reduce these costs and extend life, degradation models are under development that predict lifetime more accurately and with less test data. The lifetime models provide engineering feedback for cell, pack and system designs and are being incorporated into real-time control strategies.
Book Synopsis Predictive models of Li-ion battery lifetime by : Kandler Smith
Download or read book Predictive models of Li-ion battery lifetime written by Kandler Smith and published by . This book was released on 2014 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Lifetime prediction on lithium-ion battery cell and system level (Band 8) by : Severin Lukas Hahn
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.
Book Synopsis Lifetime Prediction and Simulation Models of Different Energy Storage Devices by : Julia Kowal
Download or read book Lifetime Prediction and Simulation Models of Different Energy Storage Devices written by Julia Kowal and published by MDPI. This book was released on 2020-11-13 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.
Book Synopsis Mathematical Modeling of Lithium Ion Batteries and Cells by : V. Subramanian
Download or read book Mathematical Modeling of Lithium Ion Batteries and Cells written by V. Subramanian and published by The Electrochemical Society. This book was released on 2012 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Gaussian Processes for Machine Learning by : Carl Edward Rasmussen
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.
Book Synopsis Degradation Mechanisms and Lifetime Prediction for Lithium-Ion Batteries -- A Control Perspective: Preprint by :
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.
Book Synopsis Lithium Ion Batteries in Electric Drive Vehicles by : Ahmad A Pesaran
Download or read book Lithium Ion Batteries in Electric Drive Vehicles written by Ahmad A Pesaran and published by SAE International. This book was released on 2016-05-16 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research focuses on the technical issues that are critical to the adoption of high-energy-producing lithium Ion batteries. In addition to high energy density / high power density, this publication considers performance requirements that are necessary to assure lithium ion technology as the battery format of choice for electrified vehicles. Presentation of prime topics includes: • Long calendar life (greater than 10 years) • Sufficient cycle life • Reliable operation under hot and cold temperatures • Safe performance under extreme conditions • End-of-life recycling To achieve aggressive fuel economy standards, carmakers are developing technologies to reduce fuel consumption, including hybridization and electrification. Cost and affordability factors will be determined by these relevant technical issues which will provide for the successful implementation of lithium ion batteries for application in future generations of electrified vehicles.
Book Synopsis Advances in Lithium-Ion Batteries for Electric Vehicles by : Haifeng Dai
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 2024-02-26 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
Book Synopsis Predictive Models of Li-ion Battery Lifetime by :
Download or read book Predictive Models of Li-ion Battery Lifetime written by and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: It remains an open question how best to predict real-world battery lifetime based on accelerated calendar and cycle aging data from the laboratory. Multiple degradation mechanisms due to (electro)chemical, thermal, and mechanical coupled phenomena influence Li-ion battery lifetime, each with different dependence on time, cycling and thermal environment. The standardization of life predictive models would benefit the industry by reducing test time and streamlining development of system controls.
Book Synopsis Design and Analysis of Large Lithium-Ion Battery Systems by : Shriram Santhanagopalan
Download or read book Design and Analysis of Large Lithium-Ion Battery Systems written by Shriram Santhanagopalan and published by Artech House. This book was released on 2014-12-01 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new resource provides you with an introduction to battery design and test considerations for large-scale automotive, aerospace, and grid applications. It details the logistics of designing a professional, large, Lithium-ion battery pack, primarily for the automotive industry, but also for non-automotive applications. Topics such as thermal management for such high-energy and high-power units are covered extensively, including detailed design examples. Every aspect of battery design and analysis is presented from a hands-on perspective. The authors work extensively with engineers in the field and this book is a direct response to frequently-received queries. With the authors’ unique expertise in areas such as battery thermal evaluation and design, physics-based modeling, and life and reliability assessment and prediction, this book is sure to provide you with essential, practical information on understanding, designing, and building large format Lithium-ion battery management systems.
Book Synopsis Battery Management Systems, Volume I: Battery Modeling by : Gregory L. Plett
Download or read book Battery Management Systems, Volume I: Battery Modeling written by Gregory L. Plett and published by Artech House. This book was released on 2015-09-01 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Comparison of Battery Life Across Real-World Automotive Drive-Cycles (Presentation) by :
Download or read book Comparison of Battery Life Across Real-World Automotive Drive-Cycles (Presentation) written by and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Laboratories run around-the-clock aging tests to try to understand as quickly as possible how long new Li-ion battery designs will last under certain duty cycles. These tests may include factors such as duty cycles, climate, battery power profiles, and battery stress statistics. Such tests are generally accelerated and do not consider possible dwell time at high temperatures and states-of-charge.Battery life-predictive models provide guidance as to how long Li-ion batteries may last under real-world electric-drive vehicle applications. Worst-case aging scenarios are extracted from hundreds of real-world duty cycles developed from vehicle travel surveys. Vehicles examined included PHEV10 and PHEV40 EDVs under fixed (28 degrees C), limited cooling (forced ambient temperature), andaggressive cooling (20 degrees C chilled liquid) scenarios using either nightly charging or opportunity charging. The results show that battery life expectancy is 7.8 - 13.2 years for the PHEV10 using a nightly charge in Phoenix, AZ (hot climate), and that the 'aggressive' cooling scenario can extend battery life by 1-3 years, while the 'limited' cooling scenario shortens battery life by 1-2years. Frequent (opportunity) charging can reduce battery life by 1 year for the PHEV10, while frequent charging can extend battery life by one-half year.
Book Synopsis Modeling Stationary Lithium-Ion Batteries for Optimization and Predictive Control: Preprint by :
Download or read book Modeling Stationary Lithium-Ion Batteries for Optimization and Predictive Control: 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: Accurately modeling stationary battery storage behavior is crucial to understand and predict its limitations in demand-side management scenarios. In this paper, a lithium-ion battery model was derived to estimate lifetime and state-of-charge for building-integrated use cases. The proposed battery model aims to balance speed and accuracy when modeling battery behavior for real-time predictive control and optimization. In order to achieve these goals, a mixed modeling approach was taken, which incorporates regression fits to experimental data and an equivalent circuit to model battery behavior. A comparison of the proposed battery model output to actual data from the manufacturer validates the modeling approach taken in the paper. Additionally, a dynamic test case demonstrates the effects of using regression models to represent internal resistance and capacity fading.
Book Synopsis Adaptive Time Series Modeling of Charging and Discharging Processes of Lithium-ion Batteries and Application in Battery Management Systems by :
Download or read book Adaptive Time Series Modeling of Charging and Discharging Processes of Lithium-ion Batteries and Application in Battery Management Systems written by and published by . This book was released on 2015 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary objective of this dissertation is to present a new method of modeling the charging and discharging processes of lithium-ion batteries, investigate their effectiveness and explore their applications. The primary contributions of this research work include development of adaptive time series models for modeling the charging and discharging processes of individual lithium-ion cells, extension of the above concepts to multi-cell lithium-ion batteries, and development of a new scheme for predicting the state of health of lithium-ion batteries. The battery charge/discharge time series model introduced here consists of a group of piecewise linear time-invariant models, whose parameters are adapted online over time. Thus, the combined overall model is capable of modeling a nonlinear time-varying process, such as a li-ion battery charging/discharging process, quite well. Such models are appealing, because the piecewise linear nature of such models can account for the nonlinear characteristics of a battery. Also, the time-adaptive nature of such models account for the time-varying voltage-current characteristics of a battery quite well. To validate the theory, modeling results for both simulated test data and experimental data gathered from a high-power automotive-grade Li-ion cell are presented. The above modeling concept is then extended to model the charging and discharging processes of multi-cell lithium-ion batteries. To validate the theory, modeling results for simulated test data are presented. Finally, as an application of the proposed modeling strategy, a new scheme for estimating the state of health of lithium-ion batteries is presented. To validate the theory, modeling results for simulated test data are presented. The results obtained from our simulation and experimental studies demonstrate the effectiveness of the proposed modeling strategy and indicate the potential usefulness of such models for a battery management system.
