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 assumption, and the assumption of sequential electrode reaction and diffusion processes. In this work, a quasi-equilibrium criterion of 0.1 mV h−1 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 t+=0.3, 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.

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Publication Details

Journal
Batteries
Published
2025-06-19
DOI
https://doi.org/10.3390/batteries11060234
Citations
6
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
4.38

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article

GITT Limitations and EIS Insights into Kinetics of NMC622

Jong‐Sook Lee, Jaekook Kim, Thanh Toan Tran, Hoon‐Hwe Cho et al.
6 citations
Batteries
Fuel Cells and Related Materials
4.38
article

GITT Limitations and EIS Insights into Kinetics of NMC622

Jong‐Sook Lee, Jaekook Kim, Thanh Toan Tran, Hoon‐Hwe Cho, Huyen Tran Tran, Daeho Jeong, Chan‐Jin Park, Miran Gaberšček, Su‐Mi Hur, An‐Giang Nguyen, Jongwoo Lim, Thuy Linh Pham, Sung-Bong Yu, Eun-Jae Shin, Namsoo Shin, O Lee, Chan-Woo Park, Intizar Abbas, Bok Hyun Ka
article en
6 citations

Abstract

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−1 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 t+=0.3, 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.

BatteriesVol. 11(6)
Chonnam National University (KR), Seoul National University (KR), Hanbat National University (KR), Samsung (South Korea) (KR), National Institute of Chemistry (SI)
National Research Foundation, National Research Foundation of Korea, Ministry of Education, India, Ministry of Science and ICT, South Korea, Samsung
Affordable and clean energy
Openalex Percentile: Top 5%
Fuel Cells and Related Materials
4.38
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