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ADVANCES IN LITHIUM-ION BATTERIES FOR ELECTRIC VEHICLES : degradation mechanism, health... estimation, and lifetime prediction.

This book explores the advancements in lithium-ion batteries specifically for electric vehicles, with a focus on understanding degradation mechanisms, health estimation, and lifetime prediction. It delves into the challenges of battery aging, which affects capacity and safety, and its impact on the...

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Bibliographic Details
Main Author: DAI, HAIFENG
Corporate Author: ScienceDirect (Online service)
Other Authors: ZHU, JIANGONG
Format: eBook
Language:English
Published: [S.l.] : ELSEVIER - HEALTH SCIENCE, 2024.
Subjects:
Lithium ion batteries > Technological innovations.
Electric automobiles > Batteries.
Batteries au lithium-ion > Innovations.
Automobiles électriques > Batteries.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Intro
  • Title page
  • Table of Contents
  • Copyright
  • Chapter 1 Overview of Li-ion battery degradation
  • Abstract
  • 1.1 Requirements for battery in electric vehicles
  • 1.2 Different types of degradation
  • 1.3 Performance of battery degradation
  • 1.4 State of health (SoH)
  • 1.5 Remaining useful life (RUL)
  • 1.6 Conclusions
  • References
  • Chapter 2 Battery life test
  • Abstract
  • 2.1 Testing standards
  • 2.2 Test platform
  • 2.3 Case study
  • 2.4 Conclusions
  • References
  • Chapter 3 Battery degradation mechanism and analysis method
  • Abstract
  • 3.1 Principles of lithium-ion battery
  • 3.2 Degradation mechanisms
  • 3.3 Influence of working conditions of EVs
  • 3.4 Analysis method
  • 3.5 Conclusions
  • References
  • Chapter 4 Battery state of health estimation
  • Abstract
  • 4.1 Battery state of health estimation based on voltage feature
  • 4.2 State of health estimation based on model and algorithm
  • 4.3 AC impedance based estimation method
  • 4.4 Conclusion
  • References
  • Chapter 5 Battery lifetime prediction methods
  • Abstract
  • 5.1 Model-based approach
  • 5.2 Semiempirical model
  • 5.3 Equivalent circuit method
  • 5.4 Filter method
  • 5.5 Particle filter
  • 5.6 Data-driven methods
  • 5.7 Artificial neutral networks
  • 5.8 Support vector machine and relevance vector machine
  • 5.9 Gray theory
  • References
  • Chapter 6 Lifetime management of battery degradation
  • Abstract
  • 6.1 Battery multilayer management strategy
  • 6.2 Extending battery life by adjusting the voltage window
  • 6.3 Low-temperature charging strategy optimization based on electrochemical-aging-thermal coupling model
  • 6.4 Active life equalization strategy of series battery module based on a life degradation model
  • 6.5 Conclusion