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Battery System Modeling, Paperback by Wang, Shunli; Fernandez, Carlos; Chunme...
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- 很新: 狀況完好的書籍。封面發亮且沒有損壞，精裝本書籍含書皮。不存在缺頁或內頁受損，無褶皺或破損，同時也沒有對文字標注/標記，或在留白處書寫內容。內封面上標記極少。書籍的磨損和破損程度也很低。 查看所有物品狀況定義會在新視窗或分頁中開啟
- Book Title
- Battery System Modeling
- ISBN
- 9780323904728
- Publication Year
- 2021
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Subject Area
- Technology & Engineering, Science
- Publication Name
- Battery System Modeling
- Publisher
- Elsevier
- Item Length
- 9.2 in
- Subject
- Materials Science / General, Engineering (General), Energy, Power Resources / General
- Item Width
- 7.5 in
- Number of Pages
- 408 Pages
關於產品
Product Identifiers
Publisher
Elsevier
ISBN-10
0323904726
ISBN-13
9780323904728
eBay Product ID (ePID)
4050060933
Product Key Features
Number of Pages
408 Pages
Publication Name
Battery System Modeling
Language
English
Publication Year
2021
Subject
Materials Science / General, Engineering (General), Energy, Power Resources / General
Type
Textbook
Subject Area
Technology & Engineering, Science
Format
Trade Paperback
Dimensions
Item Length
9.2 in
Item Width
7.5 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2021-302016
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
621.312424
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
Synopsis
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.
LC Classification Number
TK2945.L58
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