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

by Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez, and Josep M Guerrero

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Book cover for Multidimensional Lithium-Ion Battery Status Monitoring

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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.

  • ISBN13 9781032356020
  • Publish Date 8 December 2022
  • Publish Status Forthcoming
  • Publish Country GB
  • Imprint Taylor & Francis Ltd
  • Format Hardcover
  • Pages 440
  • Language English