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Battery System Modeling

By: (Author) Cao Wen , (Author) Carlos Fernandez , (Author) Daniel-Ioan Stroe , (Author) PhD Wang Shunli , (Author) Yongcun Fan , (Author) Yu Chunmei , (Author) Zonghai Chen

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Ksh 22,500.00

Format: Paperback / Softback

ISBN-10: 0323904726

ISBN-13: 9780323904728

Publisher: Elsevier - Health Sciences Division

Imprint: Elsevier - Health Sciences Division

Country of Manufacture: NL

Country of Publication: GB

Publication Date: Jun 25th, 2021

Print length: 354 Pages

Weight: 714 grams

Dimensions (height x width x thickness): 20.10 x 23.10 x 2.20 cms

Product Classification: Materials science
Energy conversion & storage
Alternative & renewable energy sources & technology

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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.

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