GITT Limitations and EIS Insights into Kinetics of NMC622

GITT Limitations and EIS Insights into Kinetics of NMC622

Conventional applications of the Galvanostatic Intermittent Titration Technique (GITT) and EIS for estimating chemical diffusivity in battery electrodes face issues such as insufficient relaxation time to reach equilibrium, excessively long pulse durations that violate the short-time diffusion assum...

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Main Authors: Intizar Abbas, Huyen Tran Tran, Tran Thi Ngoc Tran, Thuy Linh Pham, Eui-Chol Shin, Chan-Woo Park, Sung-Bong Yu, Oh Jeong Lee, An-Giang Nguyen, Daeho Jeong, Bok Hyun Ka, Hoon-Hwe Cho, Jongwoo Lim, Namsoo Shin, Miran Gaberšček, Su-Mi Hur, Chan-Jin Park, Jaekook Kim, Jong-Sook Lee
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Batteries
Subjects:
GITT
EIS
spherical diffusion
chemical diffusivity
relaxation
pulse times
Online Access:https://www.mdpi.com/2313-0105/11/6/234
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Summary:Conventional applications of the Galvanostatic Intermittent Titration Technique (GITT) and EIS for estimating chemical diffusivity in battery electrodes face issues such as insufficient relaxation time to reach equilibrium, excessively long pulse durations that violate the short-time diffusion assumption, and the assumption of sequential electrode reaction and diffusion processes. In this work, a quasi-equilibrium criterion of 0.1 mV h<sup>−1</sup> was applied to NMC622 electrodes, yielding 8–9 h relaxations below 3.8 V, but above 3.8 V, voltage decayed linearly and indefinitely, even upon discharging titration, showing unusual nonmonotonic relaxation behavior. The initial 36-s transients of a 10-min galvanostatic pulse and diffusion impedance in series with the electrode reaction yielded consistent diffusivity values. However, solid-state diffusion in spherical active particles within porous electrodes, where ambipolar diffusion occurs in the pore electrolyte with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>t</mi><mo>+</mo></msub><mo>=</mo><mn>0.3</mn></mrow></semantics></math></inline-formula>, requires a physics-based three-rail transmission line model (TLM). The corrected diffusivity may be three to four times higher. An analytic two-rail TLM approximating the three-rail numerical model was applied to temperature- and frequency-dependent EIS data. This approach mitigates parameter ambiguity and unphysical correlations in EIS. Physics-based EIS enables the identification of multistep energetics and the diagnosis of performance and degradation mechanisms.
ISSN:2313-0105

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