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    State Estimation Strategies in Lithium-ion Battery Management Systems
    State Estimation Strategies in Lithium-ion Battery Management Systems
    State Estimation Strategies in Lithium-ion Battery Management Systems
    Ebook682 pages6 hours

    State Estimation Strategies in Lithium-ion Battery Management Systems

    By Shunli Wang, Kailong Liu, Yujie Wang and

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    About this ebook

    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.

    • 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
    LanguageEnglish
    PublisherElsevier Science
    Release dateJul 14, 2023
    ISBN9780443161612
    State Estimation Strategies in Lithium-ion Battery Management Systems
    Author

    Shunli Wang

    Shunli Wang Ph.D is a leading expert on new energy research, DTlab head, New energy measurement & control research team leader. Measurement & control processing is conducted on the needs of the high power Li-ion battery field for its modeling and state estimation strategy. More than 40 projects & 20 patents have been undertaken, publishing over 60 papers on world-famous journals such as Journal of Power Sources, obtaining 20 awards named as Science and Technology Progress Award and University & Enterprise Innovation Talent Team et al. Multiple generation systems have been developed for battery packs, improving the aircraft reliability and expanding its application fields with significant social and economic benefits.

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      State Estimation Strategies in Lithium-ion Battery Management Systems - Shunli Wang

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