Training-improved electrochemical performances of silicon-based lithium-ion batteries

Kai Zhang, Junwu Zhou, Bailin Zheng, Yong Li, Fuqian Yang

Research output: Contribution to journalArticlepeer-review

Abstract

Silicon has great potential as the anode material of lithium-ion batteries, while the significant volumetric expansion of silicon during lithiation can lead to severe loss of capacity. To address this issue, we propose a viable training approach to improve the electrochemical performance of silicon electrodes and elucidate the underlying mechanism. The numerical calculations reveal that introducing appropriate structural damage through cycling at a high charging rate (C-rate) can suppress the increase of internal stress and mitigate structural damage during cycling at a C-rate less than the C-rate used in training. The associated process is referred to as “mechanical training process”. An optimal training method is proposed which consists of 15 consecutive high C-rate cycles, according to the numerical results. Experimental results demonstrate the feasibility and effectiveness of the training method, including differential capacity, median voltage, internal resistance, electrochemical impedance, and surface morphology, and provide insights into the training mechanism. The findings provide an avenue to improve electrochemical performance and capacity retention of silicon-based lithium-ion batteries.

Original languageEnglish
Article number236020
JournalJournal of Power Sources
Volume629
DOIs
StatePublished - Feb 15 2025

Bibliographical note

Publisher Copyright:
© 2024 Elsevier B.V.

Keywords

  • Capacity retention
  • Damage
  • Lithium-ion battery
  • Mechanical training
  • Silicon anode

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Physical and Theoretical Chemistry
  • Electrical and Electronic Engineering

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