Energy Storage Science and Technology ›› 2025, Vol. 14 ›› Issue (1): 286-309.doi: 10.19799/j.cnki.2095-4239.2024.0570

• Energy Storage Test: Methods and Evaluation • Previous Articles     Next Articles

Physical characterization techniques and applications in lithium battery failure analysis

Jianru ZHANG1(), Qiyu WANG1(), Qinghao LI2, Xianying ZHANG1, Bitong WANG1, Xiqian YU1, Hong LI1   

  1. 1.Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
    2.College of Physics, Qingdao University, Qingdao 266071, Shandong, China
  • Received:2024-06-25 Revised:2024-07-22 Online:2025-01-28 Published:2025-02-25
  • Contact: Qiyu WANG E-mail:momsnow@foxmail.com;qywang10@iphy.ac.cn

Abstract:

Lithium-ion battery failure analysis is a critical area in battery research and development, aging mechanism studies, and battery cascade utilization. The reliability of analysis results depends on the accurate testing and characterization of materials and device performance parameters. Currently, numerous methods are available for characterizing the physical properties of battery materials and devices. However, variations in test items, test cycles, sample preparation, and equipment popularization influence the frequency and selection of these techniques. For instance, scanning electron microscope and X-ray diffraction have become fundamental methods for analyzing material morphology and structure. Advanced characterization technologies such as synchrotron radiation, secondary ion mass spectrometry, and nuclear magnetic resonance are increasingly applied to investigate lithium-ion battery testing and failure research. This study reviews several mainstream and advanced physical characterization methods in lithium-ion battery analysis. In addition, this study highlights the best characterization directions of various technologies based on their working principles to address the specific issues related to failure mechanisms, providing valuable guidance for researchers in selecting the appropriate characterization methods to enhance their analysis and offer stronger evidence for failure analysis.

Key words: lithium-ion battery, characterization techniques, failure analysis

CLC Number: