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Multidimensional Lithium-Ion Battery Status Monitoring
Hoofdkenmerken
Auteur: Shunli Wang; Kailong Liu; Yujie Wang; Daniel-Ioan Stroe; Carlos Fernandez; Josep M Guerrero
Titel: Multidimensional Lithium-Ion Battery Status Monitoring
Uitgever: Taylor & Francis
ISBN: 9781000799606
ISBN boekversie: 9781032356020
Editie: 1
Prijs: € 69,53
Verschijningsdatum: 28-12-2022
Inhoudelijke kenmerken
Categorie: General
Taal: English
Imprint: CRC Press
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

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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