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Book Cover
Author Liu, Kailong, author.

Title Data science-based full-lifespan management of lithium-ion battery : manufacturing, operation and reutilization / Kailong Liu, Yujie Wang, Xin Lai.

Publication Info. Cham : Springer, [2022]


Location Call No. Status
 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK Springer    Downloadable
Please click here to access this Springer resource
Description 1 online resource (xxiii, 258 pages) : illustrations (chiefly color).
Series Green energy and technology, 1865-3537
Green energy and technology. 1865-3537
Access Open access GW5XE
Bibliography Includes bibliographical references.
Summary 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.
Contents 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.
Note Online resource; title from PDF title page (SpringerLink, viewed April 14, 2022).
Local Note Springer Nature Springer Nature Open Access eBooks
Subject Lithium ion batteries.
Battery management systems.
Battery management systems. (OCoLC)fst02003163
Lithium ion batteries. (OCoLC)fst01764640
Genre/Form Electronic books.
Added Author Wang, Yujie, author.
Lai, Xin, author.
ISBN 9783031013409 (electronic book)
3031013409 (electronic book)
Standard No. 10.1007/978-3-031-01340-9 doi
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