Shunli Wang,Kailong Liu,Yujie Wang,Daniel-Ioan Stroe,Carlos Fernandez,Josep M Guerrero
Multidimensional Lithium-Ion Battery Status Monitoring
Multidimensional Lithium-Ion Battery Status Monitoring
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Excellent- More about Multidimensional Lithium-Ion Battery Status Monitoring
The book focuses on equivalent circuit modeling, parameter identification, and state estimation in lithium-ion battery power applications, providing a technical reference for the design and application of power lithium-ion battery management systems. It covers battery characteristics and applications, equivalent modeling, state estimation methods, and algorithms for new energy measurement and control in large-scale energy storage.
Format: Hardback
Length: 338 pages
Publication date: 28 December 2022
Publisher: Taylor & Francis Ltd
Multidimensional Lithium-Ion Battery Status Monitoring is a comprehensive approach to monitoring the performance and health of lithium-ion batteries in power applications. It focuses on developing equivalent circuit models, identifying key parameters, and estimating battery states. By understanding the requirements of high-power lithium-ion batteries for new energy vehicles, the book provides a systematic description of key technologies in core state estimation. These technologies are based on battery equivalent modeling and parameter identification methods, offering a technical reference for designing and implementing power lithium-ion battery management systems.
The book begins by reviewing lithium-ion battery characteristics and applications, covering topics such as electrical circuit modeling, parameter identification theory, and state estimation methods. It discusses state of charge estimation, state of energy prediction, state of power evaluation, state of health estimation, and cycle life estimation, among other important metrics. Equivalent modeling and state estimation algorithms are introduced, demonstrating their applicability to new energy measurement and control in large-scale energy storage systems.
Numerous examples and case studies are included to illustrate the practical applications of the discussed concepts. This book serves as a valuable resource for researchers and advanced students in energy and electrical engineering, providing them with a comprehensive understanding of multidimensional lithium-ion battery status monitoring and its potential for advancing energy storage technologies.
Weight: 810g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032356020
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