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Magnetically aligned graphite electrodes for high-rate performance Li-ion batteries

Author

Listed:
  • Juliette Billaud

    (Paul Scherrer Institut, Electrochemical Laboratory)

  • Florian Bouville

    (Complex Materials)

  • Tommaso Magrini

    (Complex Materials)

  • Claire Villevieille

    (Paul Scherrer Institut, Electrochemical Laboratory)

  • André R. Studart

    (Complex Materials)

Abstract

As lithium-ion batteries become ubiquitous, the energy storage market is striving for better performance, longer lifetime and better safety of the devices. This race for performance is often focused on the search for new materials, whereas less effort has been dedicated to the electrode engineering. Enhancing the power density by increasing the amount of active material remains impractical since it impinges the transport of ions across the electrode during the charging and discharging processes. Here, we show that the electrochemical performance of a battery containing a thick (about 200 μm), highly loaded (about 10 mg cm−2) graphite electrode can be remarkably enhanced by fabricating anodes with an out-of-plane aligned architecture using a low external magnetic field. The lower tortuosity resulting from such a simple and scalable magnetic alignment approach leads to a specific charge up to three times higher than that of non-architectured electrodes at a rate of 1C.

Suggested Citation

  • Juliette Billaud & Florian Bouville & Tommaso Magrini & Claire Villevieille & André R. Studart, 2016. "Magnetically aligned graphite electrodes for high-rate performance Li-ion batteries," Nature Energy, Nature, vol. 1(8), pages 1-6, August.
    • Handle: RePEc:nat:natene:v:1:y:2016:i:8:d:10.1038_nenergy.2016.97
    DOI: 10.1038/nenergy.2016.97
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    Cited by:

    1. Yuqiang Zeng & Buyi Zhang & Yanbao Fu & Fengyu Shen & Qiye Zheng & Divya Chalise & Ruijiao Miao & Sumanjeet Kaur & Sean D. Lubner & Michael C. Tucker & Vincent Battaglia & Chris Dames & Ravi S. Prashe, 2023. "Extreme fast charging of commercial Li-ion batteries via combined thermal switching and self-heating approaches," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Ruan, Guanqiang & Liu, Zixi & Cheng, Jinrun & Hu, Xing & Chen, Song & Liu, Shiwen & Guo, Yong & Yang, Kuo, 2024. "A deep learning model for predicting the state of energy in lithium-ion batteries based on magnetic field effects," Energy, Elsevier, vol. 304(C).
    3. Hridoy Roy & Bimol Nath Roy & Md. Hasanuzzaman & Md. Shahinoor Islam & Ayman S. Abdel-Khalik & Mostaf S. Hamad & Shehab Ahmed, 2022. "Global Advancements and Current Challenges of Electric Vehicle Batteries and Their Prospects: A Comprehensive Review," Sustainability, MDPI, vol. 14(24), pages 1-30, December.
    4. Qing Zhao & Jingxu Zheng & Lynden A. Archer, 2022. "Reply to: Critical evaluation of (110) texture in lithium electrodeposits on isotropic Cu polycrystals," Nature Communications, Nature, vol. 13(1), pages 1-4, December.

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