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Data Science-Based Full-Lifespan Management of Lithium-Ion Battery : Manufacturing, Operation and Reutilization

Liu, Kailong - Personal Name; Lai, Xin - Personal Name; Wang, Yujie - Personal Name;

This open access book comprehensively consolidates studies in the rapidly emerging field of battery management. 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. The key challenges, future trends as well as promising data-science technologies to further improve this research field are discussed. As battery full-lifespan (manufacturing, operation, and reutilization) management is a hot research topic in both energy and AI fields and none specific book has focused on systematically describing this particular from a data science perspective before, this book can attract the attention of academics, scientists, engineers, and practitioners. It is useful as a reference book for students and graduates working in related fields. Specifically, the audience could not only get the basics of battery manufacturing, operation, and reutilization but also the information of related data-science technologies. The step-by-step guidance, comprehensive introduction, and case studies to the topic make it accessible to audiences of different levels, from graduates to experienced engineers.


Availability
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220120677
Available
Detail Information
Series Title
Green Energy and Technology (GREEN)
Call Number
620 LIU d
Publisher
Cham : Springer Cham., 2022
Collation
XXIII, 258
Language
English
ISBN/ISSN
978-3-031-01340-9
Classification
620
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Energy Materials
Specific Detail Info
-
Statement of Responsibility
Kailong Liu , Yujie Wang , Xin Lai
Other Information
Cataloger
-
Source
-
Validator
Maya
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-3-031-01340-9
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
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No other version available

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  • Data Science-Based Full-Lifespan Management of Lithium-Ion Battery : Manufacturing, Operation and Reutilization
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