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Fractional Order Intelligent Modeling for Lithium-Ion Batteries: Theory and Practice book cover

1st Edition

Fractional Order Intelligent Modeling for Lithium-Ion Batteries Theory and Practice

By YaNan Wang, YangQuan Chen Copyright 2026
153 Pages 63 B/W Illustrations
by CRC Press

153 Pages 63 B/W Illustrations
by CRC Press
Also available as eBook on:
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... Read more

1. Introduction  2. A Review on Fractional-Order Modeling  3. Fractional-order Algorithms for Battery State Estimation  4. Fractional-order Algorithms for Battery Capacity Estimation  5. Intelligent Modeling with Smart Sensors for Battery  6. Perspectives on Intelligent Fractional-Order Modeling  7. Conclusions and Take-home Messages

Biography

YaNan Wang is currently an assistant professor and a member of Low-carbon Powertrain Systems Research Lab at Beijing University of Technology, China. Her research focuses on AI-driven battery intelligent management and safety evaluation for power batteries, addressing critical issues such as fast degradation and fault diagnosis.

YangQuan Chen is a professor at the University of California Merced, US. His research interests include mechatronics for sustainability, digital twins, small multi-UAV, applied fractional calculus. His recent publication with CRC Press includes Fractional Calculus for Skeptics I: The Fractal Paradigm.

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