Cover for Advances in Lithium-Ion Batteries for Electric Vehicles

Advances in Lithium-Ion Batteries for Electric Vehicles

Degradation Mechanism, Health Estimation, and Lifetime Prediction

Book2024

Authors:

Haifeng Dai and Jiangong Zhu

Advances in Lithium-Ion Batteries for Electric Vehicles

Degradation Mechanism, Health Estimation, and Lifetime Prediction

Book2024

 

Cover for Advances in Lithium-Ion Batteries for Electric Vehicles

Authors:

Haifeng Dai and Jiangong Zhu

About the book

Browse this book

Book description

Advances in Lithium-Ion Batteries for Electric Vehicles: Degradation Mechanism, Health Estimation, and Lifetime Prediction examines the electrochemical nature of lithium-ion batter ... read full description

Browse content

Table of contents

Actions for selected chapters

Select all / Deselect all

  1. Full text access
  2. Book chapterAbstract only

    Chapter 1 - Overview of Li-ion battery degradation

    Pages 1-13

  3. Book chapterAbstract only

    Chapter 2 - Battery life test

    Pages 15-45

  4. Book chapterAbstract only

    Chapter 3 - Battery degradation mechanism and analysis method

    Pages 47-102

  5. Book chapterAbstract only

    Chapter 4 - Battery state of health estimation

    Pages 103-189

  6. Book chapterAbstract only

    Chapter 5 - Battery lifetime prediction methods

    Pages 191-247

  7. Book chapterAbstract only

    Chapter 6 - Lifetime management of battery degradation

    Pages 249-305

  8. Book chapterNo access

    Index

    Pages 307-316

About the book

Description

Advances in Lithium-Ion Batteries for Electric Vehicles: Degradation Mechanism, Health Estimation, and Lifetime Prediction examines the electrochemical nature of lithium-ion batteries, including battery degradation mechanisms and how to manage the battery state of health (SOH) to meet the demand for sustainable development of electric vehicles. With extensive case studies, methods and applications, the book provides practical, step-by-step guidance on battery tests, degradation mechanisms, and modeling and management strategies. The book begins with an overview of Li-ion battery aging and battery aging tests before discussing battery degradation mechanisms and methods for analysis.

Further methods are then presented for battery state of health estimation and battery lifetime prediction, providing a range of case studies and techniques. The book concludes with a thorough examination of lifetime management strategies for electric vehicles, making it an essential resource for students, researchers, and engineers needing a range of approaches to tackle battery degradation in electric vehicles.

Advances in Lithium-Ion Batteries for Electric Vehicles: Degradation Mechanism, Health Estimation, and Lifetime Prediction examines the electrochemical nature of lithium-ion batteries, including battery degradation mechanisms and how to manage the battery state of health (SOH) to meet the demand for sustainable development of electric vehicles. With extensive case studies, methods and applications, the book provides practical, step-by-step guidance on battery tests, degradation mechanisms, and modeling and management strategies. The book begins with an overview of Li-ion battery aging and battery aging tests before discussing battery degradation mechanisms and methods for analysis.

Further methods are then presented for battery state of health estimation and battery lifetime prediction, providing a range of case studies and techniques. The book concludes with a thorough examination of lifetime management strategies for electric vehicles, making it an essential resource for students, researchers, and engineers needing a range of approaches to tackle battery degradation in electric vehicles.

Key Features

  • Evaluates the cause of battery degradation from the material level to the cell level
  • Explains key battery basic lifetime test methods and strategies
  • Presents advanced technologies of battery state of health estimation
  • Evaluates the cause of battery degradation from the material level to the cell level
  • Explains key battery basic lifetime test methods and strategies
  • Presents advanced technologies of battery state of health estimation

Details

ISBN

978-0-443-15543-7

Language

English

Published

2024

Copyright

Copyright © 2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.

Imprint

Elsevier

Authors

Haifeng Dai

School of Automotive Studies, Tongji University, Shanghai, China

Jiangong Zhu

School of Automotive Studies, Tongji University, Shanghai, China