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Data Science-Based Full-Lifespan Management of Lithium-Ion Battery : Manufacturing, Operation and Reutilization - 1st ed. 2022

By: (Author) Kailong Liu , (Author) Xin Lai , (Author) Yujie Wang

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Ksh 8,100.00

Format: Hardback or Cased Book

ISBN-10: 3031013395

ISBN-13: 9783031013393

Edition: 1st ed. 2022

Series: Green Energy and Technology

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Apr 10th, 2022

Print length: 258 Pages

Product Classification: Electrochemistry & magnetochemistry
Materials science
Electrical engineering
Databases

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The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batteries, which are categorized into three groups, namely (i) battery manufacturing management, (ii) battery operation management, and (iii) battery reutilization management.

Chapter 1. Introduction to Battery Full-Lifespan Management.- Chapter 2. Key Stages for Battery Full-Lifespan Management.- Chapter 3. Data Science-based Battery Manufacturing Management.- Chapter 4. Data Science-based Battery Operation Management I.- Chapter 5. Data Science-based Battery Operation Management II.- Chapter 6. Data Science-based Battery Reutilization Management.- Chapter 7. The Ways Ahead.


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