Battery System Modeling (Paperback)

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.

General

Imprint:	Elsevier - Health Sciences Division
Country of origin:	United States
Release date:	June 2021
First published:	2021
Authors:	Shunli Wang • Carlos Fernandez • Yu Chunmei • Fan Yongcun • Cao Wen • Daniel-Ioan Stroe • Zonghai Chen
Dimensions:	235 x 191 x 22mm (L x W x T)
Format:	Paperback
Pages:	354
ISBN-13:	978-0-323-90472-8
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Professional & Technical > Mechanical engineering & materials > Materials science > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Energy conversion & storage
LSN:	0-323-90472-6
Barcode:	9780323904728

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