Constructing micro‐rheological model for lithium‐ion battery electrode slurry for coating window prediction

Abstract The composition of lithium‐ion battery electrode slurry determines its rheological properties, which have a significant impact on defect control during the coating process and the final electrode microstructure. Due to the complexity of slurry composition, it is difficult to determine the quantitative relationship between the formulation and rheological properties through experimental analysis. Herein, a shear rheological model based on the microscopic properties of electrode slurry was proposed, and the predicted viscosities based on slurry compositions were consistent with experimental measurements. Furthermore, the coating performance of electrode slurries was evaluated by combining a two‐dimensional phase‐field model and an analytical model, and the relationship between slurry viscosity and stable coating window was analyzed. Our work provides theoretical guidance for the formulation design of electrode slurry and the optimization of the coating process, which has practical significance for improving the manufacturing of lithium‐ion batteries.

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Publication Details

Journal
AIChE Journal
Published
2025-04-19
DOI
https://doi.org/10.1002/aic.18800
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.68

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article

Constructing micro‐rheological model for lithium‐ion battery electrode slurry for coating window prediction

Cheng Lian, Haolan Tao, Yuxin Chen, Liqing He et al.
1 citations
AIChE Journal
Advanced Battery Technologies Research
0.68
article

Constructing micro‐rheological model for lithium‐ion battery electrode slurry for coating window prediction

Cheng Lian, Haolan Tao, Yuxin Chen, Liqing He, Honglai Liu
article en
1 citations

Abstract

Abstract The composition of lithium‐ion battery electrode slurry determines its rheological properties, which have a significant impact on defect control during the coating process and the final electrode microstructure. Due to the complexity of slurry composition, it is difficult to determine the quantitative relationship between the formulation and rheological properties through experimental analysis. Herein, a shear rheological model based on the microscopic properties of electrode slurry was proposed, and the predicted viscosities based on slurry compositions were consistent with experimental measurements. Furthermore, the coating performance of electrode slurries was evaluated by combining a two‐dimensional phase‐field model and an analytical model, and the relationship between slurry viscosity and stable coating window was analyzed. Our work provides theoretical guidance for the formulation design of electrode slurry and the optimization of the coating process, which has practical significance for improving the manufacturing of lithium‐ion batteries.

AIChE JournalVol. 71(8)
East China University of Science and Technology (CN), Hefei General Machinery Research Institute (China) (CN), State Key Laboratory of Chemical Engineering (CN)
China Postdoctoral Science Foundation, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 30%
Advanced Battery Technologies Research
0.68
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Constructing micro‐rheological model for lithium‐ion battery electrode slurry for coating window prediction — Cheng Lian, Haolan Tao, et al. · AIChE Journal (2025) | TGRS Research Map | TGRS