State Estimation Strategies in Lithium-ion Battery Management Systems
Autor Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez, Josep M. Guerrero, Shunli Wangen Limba Engleză Paperback – 20 iul 2023
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
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Specificații
ISBN-13: 9780443161605
ISBN-10: 0443161607
Pagini: 376
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443161607
Pagini: 376
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
Public țintă
Academia: Researchers, advanced students, and scientists in energy storage, control, automation, electrical engineering, power systems, materials science, and chemical engineering.Industry: Engineers, R&D professionals, and other industry personnel with an interest in lithium-ion batteries, battery modelling, SOC estimation, energy management, and energy storage.
Cuprins
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
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