Kailong Liu,Yujie Wang,Xin Lai
Data Science-Based Full-Lifespan Management of Lithium-Ion Battery: Manufacturing, Operation and Reutilization
Data Science-Based Full-Lifespan Management of Lithium-Ion Battery: Manufacturing, Operation and Reutilization
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Excellent- More about Data Science-Based Full-Lifespan Management of Lithium-Ion Battery: Manufacturing, Operation and Reutilization
This open-access book provides a comprehensive overview of battery management, focusing on data science technologies for full-lifespan management of Li-ion batteries. It discusses key challenges, future trends, and promising technologies to improve the research field. It is useful for academics, scientists, engineers, and practitioners, offering a reference book with step-by-step guidance, comprehensive introduction, and case studies for audiences of different levels.
Format: Paperback / softback
Length: 258 pages
Publication date: 10 April 2022
Publisher: Springer International Publishing AG
This comprehensive open-access book brings together a wealth of research in the rapidly evolving field of battery management. With a primary focus on exploring the latest and emerging data science technologies for the comprehensive management of lithium-ion batteries throughout their lifespan, the book is organized into three distinct sections: battery manufacturing management, battery operation management, and battery reutilization management. In-depth discussions are conducted on the key challenges, emerging trends, and promising data-science technologies that have the potential to further advance this research domain.
Given the growing importance of battery full-lifespan management in both the energy and artificial intelligence sectors, this book stands out as a unique resource. It fills a gap in the literature by providing a systematic description of this topic from a data science perspective, making it invaluable for academics, scientists, engineers, and practitioners alike. The audience will gain a comprehensive understanding of battery manufacturing, operation, and reutilization, as well as the related data-science technologies.
The book is designed to be accessible to audiences of varying levels, from students and graduates to experienced engineers. It offers step-by-step guidance, a comprehensive introduction, and case studies that provide practical insights into the subject matter. By presenting the latest research and developments in a clear and concise manner, this book serves as a valuable reference tool for those working in related fields.
In conclusion, this open-access book is a must-read for anyone interested in the field of battery management. It offers a comprehensive overview of the latest data science technologies, provides valuable insights into the challenges and trends, and serves as a valuable reference for students, researchers, and practitioners alike.
Weight: 438g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031013423
Edition number: 1st ed. 2022
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