The pore emptying stage during the drying of lithium-ion battery electrodes directly influences the microstructure and battery performance, yet its multiphysics coupling mechanisms remain insufficiently revealed. This study develops a comprehensive mathematical model for electrode pore emptying during the drying process. The model integrates several key physical phenomena, including non-Newtonian fluid flow, particle adsorption and topological coupling, evaporative phase change, and gas-phase transport mechanisms. An extended Hoshen–Kopelman algorithm is used to solve the model efficiently. The results indicate that liquid clusters of solvent within the graphite skeleton undergo fragmentation during evaporation and subsequently reach a dynamic equilibrium state. The distribution of conductive additive particles is jointly determined by evaporation-induced retention and flow-driven adsorption. The synergistic effect between structural homogeneity and low-temperature drying conditions facilitates the attainment of an optimal particle distribution state, providing theoretical guidance for optimizing electrode performance.
 

Lithium-ion battery electrode,Pore network modeling,Drying characteristics