储能科学与技术2026，Vol.15Issue(5)：1595-1605,11.DOI:10.19799/j.cnki.2095-4239.2026.0253
锂离子电容器浆料搅拌过程的多尺度颗粒追踪数值模拟
Numerical simulation of multi-scale particle tracking for slurry mixing process in lithium-ion capacitors
摘要
Abstract
The quality of electrode coating is crucial for the performance of lithium-ion capacitors(LICs),as it directly influences the final product's efficacy.One main challenge in enhancing LIC performance is the production of uneven electrodes,which contribute to increased internal resistance and,consequently,reduced capacitor performance.Non-uniform slurries often result in heterogeneous electrodes,posing significant challenges that can lead to accelerated capacity decay and safety risks.Existing evaluation methods mainly focus on macro-scale rheological tests or final electrode characterization,lacking insights into the in-situ dynamics of particle-scale mixing.To address this gap,this study proposes an innovative multi-scale trajectory coupling analysis framework for evaluating mixing uniformity.The methodology involves the synchronous construction and analysis of the motion trajectories of particles within a simulated stirred tank.Individual tracer particle movements are tracked to reveal micro-scale dynamics,whereas the collective paths of particle swarms are analyzed to visualize macro-scale transport and diffusion patterns.This framework incorporates qualitative flow field analysis and quantitative particle distribution statistics,creating a triangulated approach for mechanistic understanding.Using this method,the study systematically simulated and compared the mixing performance of four widely used industrial impellers,namely,anchor,C-type outer blade,fixed-pitch hydrofoil,and retreat blade,in a standard flat-bottomed tank.The results clearly identify their dominant mixing mechanisms and limitations regarding LIC slurries.The anchor impeller generates a global wall-shear flow,achieving the best macro-scale particle distribution uniformity.In summary,this study translates complex flow-particulate interactions into actionable,particle-scale criteria for evaluating impellers.The findings provide a solid theoretical and methodological foundation for the science-guided selection and optimization of stirring equipment in high-performance LIC slurry manufacturing.In addition,the analytical approach developed in this study can be extended to the simulation of lithium-ion batteries,active materials,and other types of slurry stirring,thus demonstrating broad applicability.关键词
数值模拟/搅拌/锂离子电容器/颗粒示踪/均匀性Key words
numerical simulation/stir/lithium-ion battery/particle tracing/uniformity分类
化学化工引用本文复制引用
林垦,陈安国,陈铎,刘富亮,张校刚,申来法..锂离子电容器浆料搅拌过程的多尺度颗粒追踪数值模拟[J].储能科学与技术,2026,15(5):1595-1605,11.基金项目
黔科合平台人才-GCC[2023]100. （）
