Volume 115
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Elucidation of the dispersion characterization of lithium-ion battery slurry under effects of both composite conductive agent amount and carbon nanotubes to graphene mass ratio
Zhilong Wang a, Bingjia Li a, Xiao Yang a, Jianhang Lu a, Jiatan Zhang a, Chunguo Zhou a, Irfan Bahiuddin b, Bo Sun a, Tong Zhao a c *
a Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an, 710048, China
b Department of Mechanical Engineering, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
c Key Laboratory of Green and Intelligent Development and Efficient Utilization of Strategic Mineral Resources of Xinjiang Production and Construction Corps, Faculty of Electromechanical and Automation, Xinjiang University of Technology, Hotan City, 848000, China
10.1016/j.partic.2026.05.006
Volume 115, August 2026, Pages 35-46
Received 24 March 2026, Revised 8 May 2026, Accepted 11 May 2026, Available online 17 May 2026, Version of Record 22 May 2026.
E-mail: tongzhao@xaut.edu.cn

Highlights

• LiCoO2 particles are well dispersed within LIB slurry when φcom2 = 0.5%.

• Both LiCoO2 particles and the composite conductive agent are well dispersed to form network when mCNTS: mGr = 4:1.

• The best synergistic effect between CNTs and Gr provides a solid foundation for LIB production.


Abstract

This manuscript mainly proposed an effective method to well disperse the composite conductive agent which is composed of carbon nanotubes (CNTs) and graphene (Gr) in lithium-ion battery (LIB) slurry. Electrochemical Impedance Spectroscopy (EIS), Scanning Electron Microscopy (SEM) and gravitational sedimentation (GS) are employed to characterize the electrochemical, morphological and stability characterizations of LIB slurry, respectively. Specifically, electrochemical characterizations of LIB electrode slurries are performed by fitting Nyquist plots with a 10-parameter EEC, and quantitative morphological analysis of SEM images is conducted using a Mask R-CNN instance segmentation algorithm, both of which were proposed in our prior published research works. Consequently, the dispersion characterizations of LIB slurry are able to be summarized as follows: LiCoO2 particles are well dispersed in LIB slurry at φcom2 = 0.5%, by contrast, the composite conductive agent achieves superior coating and networking of LiCoO2 particles under the conditions of both φcom2 = 0.5% and mCNTs:mGr = 4:1, due to the maximized CNTs-Gr synergistic effect. Meanwhile, the formed three-dimensional “long-range” conductive network maintains the stability of its internal skeleton structure during the sedimentation of LIB slurry. This finding holds significant potential to advance the application of CNTs/Gr composite conductive agents in LIB slurry.

Graphical abstract
Keywords
Composite conductive agent; Lithium-ion battery slurry; Carbon nanotubes; Graphene