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State Estimation Strategies in Lithium-ion Battery Management Systems by Shunli
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- Buy it nowState Estimation Strategies in Lithium-ion Battery Management Systems by Shunli
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Item specifics
- Condition
- ISBN-13
- 9780443161605
- Book Title
- State Estimation Strategies in Lithium-ion Battery Management Sys
- ISBN
- 9780443161605
- Publication Year
- 2023
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Subject Area
- Technology & Engineering, Business & Economics, Science
- Publication Name
- State Estimation Strategies in Lithium-Ion Battery Management Systems
- Item Length
- 9 in
- Publisher
- Elsevier
- Item Width
- 6 in
- Subject
- Materials Science / General, Energy, Power Resources / Electrical, Electronics / Microelectronics, Electronics / Digital, Electronics / General, Industries / Energy, Power Resources / General
- Number of Pages
- 400 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
Elsevier
ISBN-10
0443161607
ISBN-13
9780443161605
eBay Product ID (ePID)
7058636293
Product Key Features
Publication Name
State Estimation Strategies in Lithium-Ion Battery Management Systems
Format
Trade Paperback
Language
English
Subject
Materials Science / General, Energy, Power Resources / Electrical, Electronics / Microelectronics, Electronics / Digital, Electronics / General, Industries / Energy, Power Resources / General
Publication Year
2023
Type
Textbook
Subject Area
Technology & Engineering, Business & Economics, Science
Number of Pages
400 Pages
Dimensions
Item Length
9 in
Item Width
6 in
Additional Product Features
Lc Classification Number
621.312423
Table of Content
1. Introduction to current research in estimation strategies and prediction algorithms 2. Characteristic analysis of power lithium-ion batteries 3. Aging characteristics of lithium-ion batteries 4. Lithium-ion battery hysteresis characteristics and modeling 5. Lithium-ion battery aging mechanism and multiple regression model 6. Equivalent modeling and parameter identification of power lithium-ion batteries 7. Equivalent modeling study of aviation lithium-ion batteries 8. Battery SOC measurement and control model based on Internet platforms 9. High energy density lithium-ion battery SOC prognosis 10. SOC estimation strategy based on fractional-order model 11. SOC estimation method for large unmanned aerial vehicles 12. Construction of SOC estimation method for automotive ternary batteries 13. Estimation strategies for SOC and SOP of lithium-ion batteries 14. Collaborative energy and peak power status estimation 15. SOH estimation based on improved double-extended Kalman filter 16. Collaborative SOC and SOH estimation based on improved AUKF-UPF algorithm
Copyright Date
2023
Target Audience
College Audience
Dewey Decimal
621.312424
Dewey Edition
23
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Premier Books LLC
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United States
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eBay item number:395390800263
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