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March 10, 2026Advanced Materials Technologies6 citations

A Formal Analysis of Internal Resistances of Li‐Ion Cells Using EIS and DRT to Simultaneously Probe Both Working Electrodes

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BBBapi BeraARAnirban RoyPYPreston Young

Key Points

  • This work aims to analyze aging mechanisms in lithium-ion batteries using a detailed impedance approach.
  • Used electrochemical impedance spectroscopy (EIS) in a three-electrode configuration.
  • Investigated state-of-charge dependent resistances in NMC811│graphite cells.
  • Employed distribution of relaxation times (DRT) to analyze impedance features.
  • Identified catode processes as dominant at high state-of-charge (SOC) contributing to impedance growth.
  • Found anode resistance mainly affects at low SOC due to intercalation limitations.
  • Noted SEI resistance stabilizes after initial cycles with growing diffusion impedances over time.

Abstract

ABSTRACT Lithium‐ion battery performance degrades over time due to complex aging mechanisms, including lithium inventory loss, structural changes in electrode materials, and increases in contact resistance. Understanding these processes is essential for improving battery performance and extending cycle life. This work presents a combined electrochemical impedance spectroscopy and distribution of relaxation times approach using a three‐electrode configuration to investigate aging and state‐of‐charge (SOC)‐dependent internal resistances in NMC811│graphite Li‐ion cells. By simultaneously probing the cathode, anode, and full‐cell responses and deconvoluting overlapping impedance features using DRT, we identify distinct contributions from particle‐particle resistance, SEI resistance, intercalation (charge‐transfer) kinetics, and solid‐state diffusion. Our results show that cathode processes dominate impedance growth at high SOC due to structural degradation and surface reconstruction, whereas anode contributions arise mainly at low SOC through increasing intercalation‐kinetic limitations. SEI‐related resistance stabilizes after the initial cycles, while contact resistance and diffusion impedances grow steadily with aging. These trends correlate closely with SEM, XRD, and Raman evidence of particle cracking, lattice strain, and structural disorder, establishing strong links between electrochemical signatures and physical degradation. Overall, this methodology provides a quantitative, component‐resolved framework for diagnosing electrode‐specific failure modes and guiding materials or interface‐engineering strategies to enhance the lifetime of lithium‐ion cells.

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Cite This Study

Bera et al. (2026) studied this question.

synapsesocial.com/papers/69af955970916d39fea4cd70https://doi.org/10.1002/admt.202502455
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