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

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) batter...

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Bibliographic Details
Main Authors:	Liu, Kailong (Author), Wang, Yujie (Author), Lai, Xin (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	Green Energy and Technology,
Subjects:	Electric batteries. Materials. Catalysis. Force and energy. Engineering-Data processing. Electric power production. Batteries. Materials for Energy and Catalysis. Data Engineering. Electrical Power Engineering. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of 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.