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Multidimensional Lithium-Ion Battery Status Monitoring.
・ISBN 978-1-032-35602-0 hard GB£ 145.99
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| 著者・編者 | Wang, Shunli / Liu, Kailong / Wang, Yujie / Stroe, Daniel-Ioan / Fernandez, Carlos / Guerrero, Josep M, |
|---|---|
| シリーズ | (Emerging Materials and Technologies) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2022 |
| ページ数 | 338 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-64985＞ |
解説
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.