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Battery System Modeling
A step-by-step guide to the modeling of battery management systems
Shunli Wang (Author), Carlos Fernandez (Author), Yu Chunmei (Author), Yongcun Fan (Author), Cao Wen (Author), Daniel-Ioan Stroe (Author), Zonghai Chen (Author)
9780323904728, Elsevier Science
Paperback / softback, published 25 June 2021
354 pages, Approx. 110 illustrations
23.5 x 19 x 2.3 cm, 0.72 kg
Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage. Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates.
1. Li-ion Battery Characteristics and Applications 2. Electrical Equivalent Circuit Modeling 3. Electrochemical Nernst Modeling 4. Battery State Estimation Methods 5. Battery State-of-charge Estimation Methods 6. Battery State-of-energy Prediction Methods 7. Battery State-of-power Evaluation Methods 8. Battery State-of-health Estimation Methods 9. Battery System Active Control Strategies
Subject Areas: Alternative & renewable energy sources & technology [THX], Energy conversion & storage [THRH], Materials science [TGM]
