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.

Multidimensional Lithium-Ion Battery Status Monitoring (Emerging Materials and Technologies)

Engineering & Transportation

Liu, Kailong

Wang, Yujie

Wang, Shunli

Fernández, Carlos

Stroe, Daniel-Ioan

Guerrero, Josep M

Engineering

CRC-Press

Modeling and State Estimation of Automotive Lithium-Ion Batteries

Wu, Fan

Qiao, Jialu

Automotive

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