Fractional order intelligent modeling for lithium-ion batteries theory and practice / YaNan Wang and YangQuan Chen.

Author/creator Wang, Ya'nan, 1994
Other author Chen, YangQuan, 1966
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press, 2026.
Description135 pages illustrations 27 cm.
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Physical mediumillustrations
SeriesFractional order thinking in exploring the frontiers of STEM
Contents Introduction -- A review on fractional-order modeling -- Fractional-order algorithms for battery state estimation -- Fractional-order algorithms for battery capacity estimation -- Intelligent modeling with smart sensors for battery -- Perspectives on intelligent fractional-order modeling -- Conclusion and take-home messages.
Abstract "This book focuses on fractional order (non-integer order) modeling (FOM) techniques coupled with deep neural network-based intelligent modeling methods for lithium-ion batteries (LIBs) and battery management systems (BMS) in general. It provides the first one-stop resource on FOM for LIBs with case studies using real operational data sets. With the rapid growth of electric vehicles and energy storage systems, battery technology has become critical to global energy solutions. This book aims to provide several accurate and effective intelligent modeling algorithms for the next generation of advanced BMS. Key topics include intelligent battery modeling, fractional-order modeling, physics-informed machine learning, state estimation, and degradation analysis. By integrating AI and physics-informed machine learning techniques with fractional-order modeling methods, this book presents several innovative solutions for next-generation battery management systems. This title will serve as an invaluable resource for researchers and advanced students in the fields of transportation, energy storage, and power systems, as well as those studying electric vehicles, control theory, machine learning, and fractional calculus-based modeling"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2025023979
ISBN9781041132691 hardback
ISBN9781041136637 paperback
ISBNebook

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