Multidimensional Lithium-Ion Battery Status Monitoring

By: Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez

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Paperback | 7 October 2024 | Edition Number 1

At a Glance

Paperback
356 Pages

Dimensions(cm)
23.4 x 15.6 x 1.88

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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.

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