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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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: Electronic 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.
Online Access:Link to Metadata
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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.

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