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(Ebook) Battery System Modeling by Shunli Wang, Carlos Fernandez, Yu Chunmei, Fan Yongcun, Cao Wen, Daniel-Ioan Stroe, Zonghai Chen ISBN 9780323904728, 0323904726

  • SKU: EBN-37290048
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Authors:Shunli Wang, Carlos Fernandez, Yu Chunmei, Fan Yongcun, Cao Wen, Daniel-Ioan Stroe, Zonghai Chen
Pages:354 pages.
Year:2021
Editon:1
Publisher:Elsevier
Language:english
File Size:50.9 MB
Format:pdf
ISBNS:9780323904728, 0323904726
Categories: Ebooks

Product desciption

(Ebook) Battery System Modeling by Shunli Wang, Carlos Fernandez, Yu Chunmei, Fan Yongcun, Cao Wen, Daniel-Ioan Stroe, Zonghai Chen ISBN 9780323904728, 0323904726

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.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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