Multidimensional Lithium-Ion Battery Status Monitoring
Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez, Josep M GuerreroMultidimensional 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.
Categorías:
Año:
2022
Editorial:
CRC Press
Idioma:
english
Páginas:
354
ISBN 10:
1032356022
ISBN 13:
9781032356020
Serie:
Emerging Materials and Technologies
Archivo:
PDF, 56.58 MB
IPFS:
,
english, 2022