Modeling And State Estimation Of Automotive Lithium Ion Batteries

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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 : 50,8 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.

Modeling and State Estimation of Automotive Lithium-ion Batteries

Author : Shunli Wang
Publisher : Unknown
Page : 0 pages
File Size : 49,7 Mb
Release : 2024
Category : Lithium ion batteries
ISBN : 1032781157

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Modeling and State Estimation of Automotive Lithium-ion Batteries by Shunli Wang 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"--

State Estimation Strategies in Lithium-ion Battery Management Systems

Author : Shunli Wang,Kailong Liu,Yujie Wang,Daniel-Ioan Stroe,Carlos Fernandez,Josep M. Guerrero
Publisher : Elsevier
Page : 377 pages
File Size : 45,8 Mb
Release : 2023-07-14
Category : Business & Economics
ISBN : 9780443161612

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State Estimation Strategies in Lithium-ion Battery Management Systems by Shunli Wang,Kailong Liu,Yujie Wang,Daniel-Ioan Stroe,Carlos Fernandez,Josep M. Guerrero Pdf

State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, R&D professionals, and other industry personnel. Introduces lithium-ion batteries, characteristics and core state parameters Examines battery equivalent modeling and provides advanced methods for battery state estimation Analyzes current technology and future opportunities

Battery System Modeling

Author : Shunli Wang,Carlos Fernandez,Yu Chunmei,Yongcun Fan,Cao Wen,Daniel-Ioan Stroe,Zonghai Chen
Publisher : Elsevier
Page : 356 pages
File Size : 49,9 Mb
Release : 2021-06-23
Category : Science
ISBN : 9780323904339

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Battery System Modeling by Shunli Wang,Carlos Fernandez,Yu Chunmei,Yongcun Fan,Cao Wen,Daniel-Ioan Stroe,Zonghai Chen Pdf

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

Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles

Author : Jiuchun Jiang,Caiping Zhang
Publisher : John Wiley & Sons
Page : 296 pages
File Size : 45,8 Mb
Release : 2015-05-18
Category : Technology & Engineering
ISBN : 9781118414781

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Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles by Jiuchun Jiang,Caiping Zhang Pdf

A theoretical and technical guide to the electric vehicle lithium-ion battery management system Covers the timely topic of battery management systems for lithium batteries. After introducing the problem and basic background theory, it discusses battery modeling and state estimation. In addition to theoretical modeling it also contains practical information on charging and discharging control technology, cell equalisation and application to electric vehicles, and a discussion of the key technologies and research methods of the lithium-ion power battery management system. The author systematically expounds the theory knowledge included in the lithium-ion battery management systems and its practical application in electric vehicles, describing the theoretical connotation and practical application of the battery management systems. Selected graphics in the book are directly derived from the real vehicle tests. Through comparative analysis of the different system structures and different graphic symbols, related concepts are clear and the understanding of the battery management systems is enhanced. Contents include: key technologies and the difficulty point of vehicle power battery management system; lithium-ion battery performance modeling and simulation; the estimation theory and methods of the lithium-ion battery state of charge, state of energy, state of health and peak power; lithium-ion battery charge and discharge control technology; consistent evaluation and equalization techniques of the battery pack; battery management system design and application in electric vehicles. A theoretical and technical guide to the electric vehicle lithium-ion battery management system Using simulation technology, schematic diagrams and case studies, the basic concepts are described clearly and offer detailed analysis of battery charge and discharge control principles Equips the reader with the understanding and concept of the power battery, providing a clear cognition of the application and management of lithium ion batteries in electric vehicles Arms audiences with lots of case studies Essential reading for Researchers and professionals working in energy technologies, utility planners and system engineers.

Battery State Estimation

Author : Shunli Wang
Publisher : IET
Page : 297 pages
File Size : 46,6 Mb
Release : 2021-12-02
Category : Technology & Engineering
ISBN : 9781839535291

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Battery State Estimation by Shunli Wang Pdf

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.

Automotive Battery Technology

Author : Alexander Thaler,Daniel Watzenig
Publisher : Springer Science & Business Media
Page : 129 pages
File Size : 55,8 Mb
Release : 2014-01-30
Category : Technology & Engineering
ISBN : 9783319025230

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Automotive Battery Technology by Alexander Thaler,Daniel Watzenig Pdf

The use of electrochemical energy storage systems in automotive applications also involves new requirements for modeling these systems, especially in terms of model depth and model quality. Currently, mainly simple application-oriented models are used to describe the physical behavior of batteries. This book provides a step beyond of state-of-the-art modeling showing various different approaches covering following aspects: system safety, misuse behavior (crash, thermal runaway), battery state estimation and electrochemical modeling with the needed analysis (pre/post mortem). All this different approaches are developed to support the overall integration process from a multidisciplinary point-of-view and depict their further enhancements to this process.

Mathematical Modeling of Lithium Batteries

Author : Krishnan S. Hariharan,Piyush Tagade,Sanoop Ramachandran
Publisher : Springer
Page : 211 pages
File Size : 49,9 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.

Advances in Lithium-Ion Batteries

Author : Walter van Schalkwijk,B. Scrosati
Publisher : Springer Science & Business Media
Page : 514 pages
File Size : 49,9 Mb
Release : 2007-05-08
Category : Science
ISBN : 9780306475085

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Advances in Lithium-Ion Batteries by Walter van Schalkwijk,B. Scrosati Pdf

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.

Multidimensional Lithium-Ion Battery Status Monitoring

Author : Shunli Wang,Kailong Liu,Yujie Wang,Daniel-Ioan Stroe,Carlos Fernandez,Josep M Guerrero
Publisher : CRC Press
Page : 333 pages
File Size : 42,5 Mb
Release : 2022-12-28
Category : Technology & Engineering
ISBN : 9781000799606

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Multidimensional Lithium-Ion Battery Status Monitoring by Shunli Wang,Kailong Liu,Yujie Wang,Daniel-Ioan Stroe,Carlos Fernandez,Josep M Guerrero Pdf

Multidimensional Lithium-Ion Battery Status Monitoring focuses on equivalent circuit modeling, parameter identification, and state estimation in lithium-ion battery power applications. It explores the requirements of high-power lithium-ion batteries for new energy vehicles and systematically describes the key technologies in core state estimation based on battery equivalent modeling and parameter identification methods of lithium-ion batteries, providing a technical reference for the design and application of power lithium-ion battery management systems. Reviews Li-ion battery characteristics and applications. Covers battery equivalent modeling, including electrical circuit modeling and parameter identification theory Discusses battery state estimation methods, including state of charge estimation, state of energy prediction, state of power evaluation, state of health estimation, and cycle life estimation Introduces equivalent modeling and state estimation algorithms that can be applied to new energy measurement and control in large-scale energy storage Includes a large number of examples and case studies This book has been developed as a reference for researchers and advanced students in energy and electrical engineering.

Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles

Author : Jiuchun Jiang
Publisher : Unknown
Page : 300 pages
File Size : 55,7 Mb
Release : 2015
Category : Electronic
ISBN : OCLC:1137162179

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Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles by Jiuchun Jiang Pdf

A theoretical and technical guide to the electric vehicle lithium-ion battery management system Covers the timely topic of battery management systems for lithium batteries. After introducing the problem and basic background theory, it discusses battery modeling and state estimation. In addition to theoretical modeling it also contains practical information on charging and discharging control technology, cell equalisation and application to electric vehicles, and a discussion of the key technologies and research methods of the lithium-ion power battery management system. The author systematically expounds the theory knowledge included in the lithium-ion battery management systems and its practical application in electric vehicles, describing the theoretical connotation and practical application of the battery management systems. Selected graphics in the book are directly derived from the real vehicle tests. Through comparative analysis of the different system structures and different graphic symbols, related concepts are clear and the understanding of the battery management systems is enhanced. Contents include : key technologies and the difficulty point of vehicle power battery management system; lithium-ion battery performance modeling and simulation; the estimation theory and methods of the lithium-ion battery state of charge, state of energy, state of health and peak power; lithium-ion battery charge and discharge control technology; consistent evaluation and equalization techniques of the battery pack; battery management system design and application in electric vehicles. A theoretical and technical guide to the electric vehicle lithium-ion battery management system Using simulation technology, schematic diagrams and case studies, the basic concepts are described clearly and offer detailed analysis of battery charge and discharge control principles Equips the reader with the understanding and concept of the power battery, providing a clear cognition of the application and management of lithium ion batteries in electric vehicles Arms audiences with lots of case studies Essential reading for Researchers and professionals working in energy technologies, utility planners and system engineers.

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 : 40,7 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.

Intelligent Lithium-Ion Battery State of Charge (SOC) Estimation Methods

Author : Shunli Wang,Yujie Wang,Dan Deng,Carlos Fernandez,Josep M. Guerrero
Publisher : Unknown
Page : 0 pages
File Size : 42,7 Mb
Release : 2024
Category : Electronic
ISBN : 1527553086

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Intelligent Lithium-Ion Battery State of Charge (SOC) Estimation Methods by Shunli Wang,Yujie Wang,Dan Deng,Carlos Fernandez,Josep M. Guerrero Pdf

To improve the accuracy and stability of power battery state of charge (SOC) estimation, this book proposes a SOC estimation method for power lithium batteries based on the fusion of deep learning and filtering algorithms. More specifically, the book proposes a SOC estimation method for Li-ion batteries using bi-directional long and short-term memory neural networks (BiLSTM), which overcomes the problem that long and short-term memory neural networks (LSTM) pose, because they can only learn in one direction, resulting in poor feature extraction and memory effect. The book provides some technical references for the design, matching, and application of power lithium-ion battery management systems, and contributes to the development of new energy technology applications.

Advances in Lithium-Ion Batteries for Electric Vehicles

Author : Haifeng Dai,Jiangong Zhu
Publisher : Elsevier
Page : 326 pages
File Size : 51,9 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

Battery State Estimation

Author : Shunli Wang
Publisher : Unknown
Page : 313 pages
File Size : 53,5 Mb
Release : 2022
Category : Electronic
ISBN : 1523142383

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Battery State Estimation by Shunli Wang Pdf

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.