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Examining the Performance of Implantable-Grade Lithium-Ion Cells after Overdischarge and Thermally Accelerated Aging

Author

Listed:
  • Jonathon R. Harding

    (Exponent, Inc., 1075 Worcester St., Natick, MA 01760, USA)

  • Binghong Han

    (Exponent, Inc., 1075 Worcester St., Natick, MA 01760, USA)

  • Samuel B. Madden

    (Exponent, Inc., 1075 Worcester St., Natick, MA 01760, USA)

  • Quinn C. Horn

    (Exponent, Inc., 1075 Worcester St., Natick, MA 01760, USA)

Abstract

For implanted medical devices containing rechargeable batteries, maximizing battery lifetime is paramount as surgery is required for battery replacement. In non-life-sustaining applications (e.g., spinal cord stimulators or sacral nerve modulation), these implants may be left unused and unmaintained for extended periods, according to patient preference or in the case of unexpected life events. In this study, we examine the performance of two commercial lithium-ion cells intended for implantable neurostimulators (using lithium titanium oxide (LTO) and graphite as the negative electrode) when subjected to repeated deep overdischarge and to aging at a high state of charge (SOC). The graphite-based cells exhibited significant performance decline and swelling after overdischarge and became unable to store a charge after 42 days at 0 V. In contrast, the LTO-based cells exhibited minimal changes in performance even after 84 days (the length of the study) at 0 V. When subjected to an accelerated aging protocol at 100% SOC, the graphite-based cells were found to age more rapidly than the LTO cells, which exhibited minimal aging over the course of the study period. These results show that practical LTO-based lithium-ion cells are much more tolerant of abuse as a result of neglect and misuse and are worth considering for use in high-value applications where battery replacement is difficult or impossible.

Suggested Citation

  • Jonathon R. Harding & Binghong Han & Samuel B. Madden & Quinn C. Horn, 2022. "Examining the Performance of Implantable-Grade Lithium-Ion Cells after Overdischarge and Thermally Accelerated Aging," Energies, MDPI, vol. 15(4), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1405-:d:749772
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    References listed on IDEAS

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    1. Su, Laisuo & Zhang, Jianbo & Wang, Caijuan & Zhang, Yakun & Li, Zhe & Song, Yang & Jin, Ting & Ma, Zhao, 2016. "Identifying main factors of capacity fading in lithium ion cells using orthogonal design of experiments," Applied Energy, Elsevier, vol. 163(C), pages 201-210.
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    Cited by:

    1. Mahsa Doosthosseini & Mahdi Khajeh Talkhoncheh & Jeffrey L. Silberberg & Hamed Ghods, 2024. "An Arrhenius-Based Simulation Tool for Predicting Aging of Lithium Manganese Dioxide Primary Batteries in Implantable Medical Devices," Energies, MDPI, vol. 17(21), pages 1-12, October.
    2. Takyi-Aninakwa, Paul & Wang, Shunli & Zhang, Hongying & Li, Huan & Xu, Wenhua & Fernandez, Carlos, 2022. "An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries," Energy, Elsevier, vol. 260(C).
    3. Takyi-Aninakwa, Paul & Wang, Shunli & Zhang, Hongying & Yang, Xiaoyong & Fernandez, Carlos, 2022. "An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries," Applied Energy, Elsevier, vol. 326(C).

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