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Time–frequency coupled modeling of lithium-ion battery impedance: Insights into solid electrolyte interphase growth and lithium plating

  • Lizhi Xiang
  • , Binghan Cui
  • , Fangmin Wu
  • , Daode Wang
  • , Geping Yin
  • , Hua Huo
  • , Chunyu Du*
  • *Corresponding author for this work
  • School of Chemistry and Chemical Engineering, Harbin Institute of Technology
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

We develop a time–frequency coupled degradation model for lithium-ion batteries to resolve dynamic aging phenomena such as the growth of the solid electrolyte interphase (SEI) and lithium plating. By decoupling slow cycling dynamics from fast impedance responses, the model captures frequency-specific signatures—SEI growth elevates high-frequency resistance (Rs), while lithium plating induces sharp changes in anode charge transfer resistance and electrical double-layer capacitance at lower frequencies. SEI rupture induces a non-monotonic dependence of Rs on the state of charge (SOC) during long-term cycling, while lithium plating and the reduction of anode porosity exacerbate current density heterogeneity, thereby promoting a further decrease in the Rs. These features, elusive to traditional electrochemical impedance spectroscopy (EIS), are clearly identified via dynamic electrochemical impedance spectroscopy (DEIS). Overall, the framework clarifies the physical origins of key DEIS features and establishes a mechanistic basis for interpreting frequency-dependent signatures associated with battery degradation.

Original languageEnglish
Article number239381
JournalJournal of Power Sources
Volume668
DOIs
StatePublished - 15 Mar 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Coupled time-frequency modeling
  • Dynamic electrochemical impedance spectroscopy
  • Lithium plating
  • Lithium-ion battery degradation model

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