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Predicting Capacity Fade in Silicon Anode-Based Li-Ion Batteries

Author

Listed:
  • Harika Dasari

    (SUNY Polytechnic Institute, College of Nanoscale Science and Engineering, Albany, NY 12203, USA)

  • Eric Eisenbraun

    (SUNY Polytechnic Institute, College of Nanoscale Science and Engineering, Albany, NY 12203, USA)

Abstract

While silicon anodes hold promise for use in lithium-ion batteries owing to their very high theoretical storage capacity and relatively low discharge potential, they possess a major problem related to their large volume expansion that occurs with battery aging. The resulting stress and strain can lead to mechanical separation of the anode from the current collector and an unstable solid electrolyte interphase (SEI), resulting in capacity fade. Since capacity loss is in part dependent on the cell materials, two different electrodes, Lithium Nickel Oxide or LiNi 0.8 Co 0.15 Al 0.05 O 2 (NCA) and LiNi 1/3 Mn 1/3 Co 1/3 O 2 (NMC 111), were used in combination with silicon to study capacity fade effects using simulations in COMSOL version 5.5. The results of these studies provide insight into the effects of anode particle size and electrolyte volume fraction on the behavior of silicon anode-based batteries with different positive electrodes. It was observed that the performance of a porous matrix of solid active particles of silicon anode could be improved when the active particles were 150 nm or smaller. The range of optimized values of volume fraction of the electrolyte in the silicon anode were determined to be between 0.55 and 0.40. The silicon anode behaved differently in terms of cell time with NCA and NMC. However, NMC111 gave a high relative capacity in comparison to NCA and proved to be a better working electrode for the proposed silicon anode structure.

Suggested Citation

  • Harika Dasari & Eric Eisenbraun, 2021. "Predicting Capacity Fade in Silicon Anode-Based Li-Ion Batteries," Energies, MDPI, vol. 14(5), pages 1-16, March.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1448-:d:512084
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    References listed on IDEAS

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    1. Yu Miao & Patrick Hynan & Annette von Jouanne & Alexandre Yokochi, 2019. "Current Li-Ion Battery Technologies in Electric Vehicles and Opportunities for Advancements," Energies, MDPI, vol. 12(6), pages 1-20, March.
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    Cited by:

    1. Xingyu Zhang & Jian Chen & Yinhua Bao, 2022. "Model-Based Investigations of Porous Si-Based Anodes for Lithium-Ion Batteries with Effects of Volume Changes," Energies, MDPI, vol. 15(23), pages 1-18, November.

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