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In Situ Stress Measurement Techniques on Li-ion Battery Electrodes: A Review

Author

Listed:
  • Ximing Cheng

    (Collaborative Innovation Center for Electric Vehicles in Beijing, National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Michael Pecht

    (Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USA)

Abstract

Li-ion batteries experience mechanical stress evolution due in part to Li intercalation into and de-intercalation out of the electrodes, ultimately resulting in performance degradation. In situ measurements of electrode stress can be used to analyze stress generation factors, verify mechanical deformation models, and validate degradation mechanisms. They can also be embedded in Li-ion battery management systems when stress sensors are either implanted in electrodes or attached on battery surfaces. This paper reviews in situ measurement methods of electrode stress based on optical principles, including digital image correlation, curvature measurement, and fiber optical sensors. Their experimental setups, principles, and applications are described and contrasted. This literature review summarizes the current status of these stress measurement methods for battery electrodes and discusses recent developments and trends.

Suggested Citation

  • Ximing Cheng & Michael Pecht, 2017. "In Situ Stress Measurement Techniques on Li-ion Battery Electrodes: A Review," Energies, MDPI, vol. 10(5), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:591-:d:96908
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    References listed on IDEAS

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    Cited by:

    1. Davide Clerici & Francesco Mocera & Aurelio Somà, 2020. "Analytical Solution for Coupled Diffusion Induced Stress Model for Lithium-Ion Battery," Energies, MDPI, vol. 13(7), pages 1-20, April.
    2. Laura Albero Blanquer & Florencia Marchini & Jan Roman Seitz & Nour Daher & Fanny Bétermier & Jiaqiang Huang & Charlotte Gervillié & Jean-Marie Tarascon, 2022. "Optical sensors for operando stress monitoring in lithium-based batteries containing solid-state or liquid electrolytes," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. Davide Clerici & Francesco Mocera & Aurelio Somà, 2021. "Experimental Characterization of Lithium-Ion Cell Strain Using Laser Sensors," Energies, MDPI, vol. 14(19), pages 1-17, October.
    4. Jiang, Yihui & Xu, Jun & Hou, Wenlong & Mei, Xuesong, 2021. "A stack pressure based equivalent mechanical model of lithium-ion pouch batteries," Energy, Elsevier, vol. 221(C).
    5. Anyu Cheng & Yi Xin & Hang Wu & Lixin Yang & Banghuai Deng, 2023. "A Review of Sensor Applications in Electric Vehicle Thermal Management Systems," Energies, MDPI, vol. 16(13), pages 1-29, July.
    6. Lysander De Sutter & Gert Berckmans & Mario Marinaro & Jelle Smekens & Yousef Firouz & Margret Wohlfahrt-Mehrens & Joeri Van Mierlo & Noshin Omar, 2018. "Comprehensive Aging Analysis of Volumetric Constrained Lithium-Ion Pouch Cells with High Concentration Silicon-Alloy Anodes," Energies, MDPI, vol. 11(11), pages 1-21, October.
    7. Aleksandra Fortier & Max Tsao & Nick D. Williard & Yinjiao Xing & Michael G. Pecht, 2017. "Preliminary Study on Integration of Fiber Optic Bragg Grating Sensors in Li-Ion Batteries and In Situ Strain and Temperature Monitoring of Battery Cells," Energies, MDPI, vol. 10(7), pages 1-11, June.
    8. Francesca Pistorio & Davide Clerici & Francesco Mocera & Aurelio Somà, 2022. "Review on the Experimental Characterization of Fracture in Active Material for Lithium-Ion Batteries," Energies, MDPI, vol. 15(23), pages 1-47, December.
    9. Han, Gaoce & Yan, Jize & Guo, Zhen & Greenwood, David & Marco, James & Yu, Yifei, 2021. "A review on various optical fibre sensing methods for batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).

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