Data Science-Based Full-Lifespan Management of Lithium-Ion Battery: Manufacturing, Operation and Reutilization: Green Energy and Technology
Autor Kailong Liu, Yujie Wang, Xin Laien Limba Engleză Paperback – 10 apr 2022
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 347.06 lei 43-57 zile | |
Springer International Publishing – 10 apr 2022 | 347.06 lei 43-57 zile | |
Hardback (1) | 419.49 lei 43-57 zile | |
Springer International Publishing – 10 apr 2022 | 419.49 lei 43-57 zile |
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Specificații
ISBN-13: 9783031013423
ISBN-10: 3031013425
Pagini: 258
Ilustrații: XXIII, 258 p. 163 illus., 158 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Green Energy and Technology
Locul publicării:Cham, Switzerland
ISBN-10: 3031013425
Pagini: 258
Ilustrații: XXIII, 258 p. 163 illus., 158 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Green Energy and Technology
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
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