Detalls del llibre
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.
- Autors Shunli Wang, Kailong Liu, Daniel-Ioan Stroe, Yujie Wang, Carlos Fernández Cuesta, Josep M. Guerrero
- ISBN13 9781032356020
- ISBN10 1032356022
- Pàgines 338
- Any Edició 2022
- Fecha de publicación 28/12/2022
Ressenyes i valoracions
Multidimensional Lithium-ion Battery Status Monitoring
- De
- Shunli Wang, Kailong Liu, Daniel-Ioan Stroe, Yujie Wang, Carlos Fernández Cuesta, Josep M. Guerrero
- |
- ROUTLEDGE (2022)
- 9781032356020



