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A Review of Non-Destructive Testing for Lithium Batteries

Author

Listed:
  • Junfu Gao

    (AVIC Research Institute for Special Structures of Aeronautical Composites, Jinan 250023, China)

  • Sikai Wang

    (Department of Engineering Mechanics, Shandong University, Jinan 250100, China)

  • Feng Hao

    (Department of Engineering Mechanics, Shandong University, Jinan 250100, China
    Shenzhen Research Institute of Shandong University, Shenzhen 515100, China)

Abstract

With the rapid development of mobile devices, electronic products, and electric vehicles, lithium batteries have shown great potential for energy storage, attributed to their long endurance and high energy density. In order to ensure the safety of lithium batteries, it is essential to monitor the state of health and state of charge/discharge. There are commonly two methods for measuring lithium batteries: destructive testing and non-destructive testing. Destructive testing is not suitable for in situ or non-destructive analysis as it can cause irreversible deformation or damage to the battery. Herein, this review focuses on three non-destructive testing methods for lithium batteries, including ultrasonic testing, computer tomography, and nuclear magnetic resonance. Ultrasonic testing is widely used in crack and fatigue damage detection. X-ray computer tomography and neutron tomography have gained increasing attention in monitoring the health status of lithium batteries. Nuclear magnetic resonance can be used to conduct in situ and ex situ detection. In this review, non-destructive testing of lithium batteries is summarized, including the current status, achievements, and perspectives of this technology.

Suggested Citation

  • Junfu Gao & Sikai Wang & Feng Hao, 2024. "A Review of Non-Destructive Testing for Lithium Batteries," Energies, MDPI, vol. 17(16), pages 1-24, August.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:4030-:d:1456234
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    References listed on IDEAS

    as
    1. Bosong Zou & Lisheng Zhang & Xiaoqing Xue & Rui Tan & Pengchang Jiang & Bin Ma & Zehua Song & Wei Hua, 2023. "A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles," Energies, MDPI, vol. 16(14), pages 1-19, July.
    2. Ming Zhang & Yanshuo Liu & Dezhi Li & Xiaoli Cui & Licheng Wang & Liwei Li & Kai Wang, 2023. "Electrochemical Impedance Spectroscopy: A New Chapter in the Fast and Accurate Estimation of the State of Health for Lithium-Ion Batteries," Energies, MDPI, vol. 16(4), pages 1-16, February.
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