
Multidimensional Lithium-Ion Battery Status Monitoring
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.
- Kirjailija
- Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez, Josep M Guerrero
- ISBN
- 9781032356020
- Kieli
- englanti
- Paino
- 616 grammaa
- Julkaisupäivä
- 28.12.2022
- Kustantaja
- TAYLOR FRANCIS LTD
- Sivumäärä
- 338