Data Science-Based Full-Lifespan Managemen...

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Beschreibung

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.

Zusammenfassung

Provides an up-to-date summary of current expertise in battery management

Includes step-by-step instructions for practical battery management and real case studies

Consolidates studies in the rapidly emerging field of battery management

This book is open access, which means that you have free and unlimited access.

Inhaltsverzeichnis

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.

Details

Erscheinungsjahr:	2022
Fachbereich:	Fertigungstechnik
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Inhalt:	xxiii 258 S. 5 s/w Illustr. 158 farbige Illustr. 258 p. 163 illus. 158 illus. in color.
ISBN-13:	9783031013393
ISBN-10:	3031013395
Sprache:	Englisch
Einband:	Gebunden
Autor:	Liu, Kailong Lai, Xin Wang, Yujie
Auflage:	1st edition 2022
Hersteller:	Springer International Publishing Springer International Publishing AG
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	241 x 160 x 21 mm
Von/Mit:	Kailong Liu (u. a.)
Erscheinungsdatum:	10.04.2022
Gewicht:	0,594 kg

Artikel-ID: 121325586