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Anotace knihy

State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modelling and monitoring charge, energy, power, and health of lithium-ion batteries. The book begins by introducing 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 with an interest in lithium-ion batteries, battery modelling, SOC estimation, energy management, and energy storage. Introduces lithium-ion batteries, characteristics, and core state parameters Examines battery equivalent modeling and provides advanced methods for battery state estimation Analyzes current technology and future opportunities

Parametry knihy

Zařazení knihy Knihy v angličtině Economics, finance, business & management Industry & industrial studies Energy industries & utilities

• Plný název: State Estimation Strategies in Lithium-ion Battery Management Systems
• Autor: Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez, Josep M. Guerrero
• Jazyk: Angličtina
• Vazba: Brožovaná
• EAN: 9780443161605
• ID: 42801488
• Datum vydání: 01. July 2023

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