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Battery System Modeling, Paperback by Wang, Shunli; Fernandez, Carlos; Chunme...

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Last updated on May 24, 2024 11:53:22 EDTView all revisionsView all revisions

Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Book Title
Battery System Modeling
ISBN
9780323904728
Publication Year
2021
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Battery System Modeling
Author
Cao Wen, Carlos Fernandez, Shunli Wang, Fan Yongcun, Yu Chunmei
Item Length
9.2in
Publisher
Elsevier
Item Width
7.5in
Number of Pages
408 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Elsevier
ISBN-10
0323904726
ISBN-13
9780323904728
eBay Product ID (ePID)
4050060933

Product Key Features

Author
Cao Wen, Carlos Fernandez, Shunli Wang, Fan Yongcun, Yu Chunmei
Publication Name
Battery System Modeling
Format
Trade Paperback
Language
English
Publication Year
2021
Type
Textbook
Number of Pages
408 Pages

Dimensions

Item Length
9.2in
Item Width
7.5in

Additional Product Features

Lc Classification Number
Tk2945.L58
Table of Content
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
Copyright Date
2021
Target Audience
Scholarly & Professional
Topic
Materials Science / General, Engineering (General), Energy, Power Resources / General
Lccn
2021-302016
Dewey Decimal
621.312424
Dewey Edition
23
Illustrated
Yes
Genre
Technology & Engineering, Science

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