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State Estimation Strategies in Lithium-ion Battery Management Systems

By: (Author) Carlos Fernandez , (Author) Daniel-Ioan Stroe , (Author) Denmark) Guerrero Josep M. , (Author) Kailong Liu , (Author) PhD Wang Shunli , (Author) Yujie Wang

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Ksh 26,300.00

Format: Paperback / Softback

ISBN-10: 0443161607

ISBN-13: 9780443161605

Publisher: Elsevier - Health Sciences Division

Imprint: Elsevier - Health Sciences Division

Country of Manufacture: NL

Country of Publication: GB

Publication Date: Jul 20th, 2023

Print length: 376 Pages

Weight: 608 grams

Dimensions (height x width x thickness): 15.20 x 23.00 x 2.30 cms

Product Classification: Energy industries & utilities
Power generation & distribution
Energy conversion & storage

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State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, R&D professionals, and other industry personnel.

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