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Cyclability evaluation on Si based Negative Electrode in Lithium ion Battery by Graphite Phase Evolution: an operando

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This study introduces artificial graphite (FSN) as a marker to predict the cyclability of silicon (Si) anodes in lithium-ion batteries (LIBs). The FSN additive helps assess material performance and improve Si electrode stability.

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Battery Technology

Background:

  • Silicon (Si) anodes offer high theoretical capacity for lithium-ion batteries (LIBs) but suffer from poor cyclability due to volume expansion.
  • Developing strategies to enhance Si anode stability and predict their long-term performance is crucial for advancing battery technology.

Purpose of the Study:

  • To utilize artificial graphite (FSN) as an internal structural marker to predict the cyclability of Si anodes in LIBs.
  • To investigate the effects of high energy ball-milling on Si structure and its impact on lithium intercalation kinetics.
  • To establish a method for assessing silicide formation mechanisms and predicting anode performance based on FSN phase evolution.

Main Methods:

  • Operando X-ray diffraction (XRD) analysis on Si-FSN composite electrodes in LIBs.
  • High energy ball-milling treatment of Si material.
  • Electrochemical cycling and capacity fading measurements.

Main Results:

  • Operando XRD revealed that the phase transition delay of FSN correlates with the lithiation/delithiation affinity of the Si material.
  • High energy ball-milling induced surface amorphous structure and lattice strain in Si, improving lithium intercalation kinetics.
  • The Si-FSN electrode exhibited a capacity fading of less than 10% over 50 cycles (1860 to 1650 mAhg⁻¹).

Conclusions:

  • FSN serves as a reliable internal marker for evaluating Si anode performance and predicting cyclability in LIBs.
  • The proposed method allows for quantitative assessment of amorphous and strain-related silicide formation.
  • This approach offers a robust strategy for understanding degradation mechanisms and optimizing Si-based negative electrodes.