一种锂离子电池正极浆料分散性的多指标协同诊断方法

By employing a multi-index collaborative diagnostic method, combining thixotropic ring area, four-probe resistivity, electrode resistivity, and peel strength, the accuracy problem of lithium-ion battery cathode slurry dispersion diagnosis in existing technologies has been solved, enabling precise diagnosis and process optimization guidance across the entire process in multiple dimensions.

CN122409759APending Publication Date: 2026-07-17CENT SOUTH UNIV +2

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CENT SOUTH UNIV
Filing Date
2026-05-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies lack a method to accurately diagnose the dispersion state of lithium-ion battery cathode slurry from multiple dimensions. Evaluation methods based on single indicators are easily affected by material systems and process conditions, leading to distorted results and failing to fully reflect the dispersion state of the slurry from liquid to solid coating.

Method used

A multi-index synergistic diagnostic method was adopted, including shear rate scanning to obtain the thixotropic ring area immediately after pulping, coating electrode resistivity, electrode resistivity and peel strength test of four probes, and comprehensive diagnosis of the true dispersion state of the pulp through normalization and relative standard deviation analysis.

Benefits of technology

It achieves accurate diagnosis across the entire process and multiple dimensions, can identify and guide the solution of potential process problems, provides quantitative directions for pulping process optimization, eliminates the one-sidedness and misjudgment of single index evaluation, and has universality.

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Abstract

本发明涉及锂离子电池生产技术领域,具体提供了一种锂离子电池正极浆料分散性的多指标协同诊断方法,包括以下步骤:在制浆结束后,立即取样进行剪切速率扫描,计算触变环面积;将浆料制成极片并测试极片不同位置处的四探针电阻率、极片电阻率和极片剥离强度;对得到的浆料触变环面积进行归一化处理;剔除异常值后分别计算四探针电阻率、极片电阻率和极片剥离强度的平均相对标准偏差;综合归一化触变环面积、四探针电阻率、极片电阻率和极片剥离强度的平均相对标准偏差四个指标,根据预设的多指标协同诊断逻辑,评价浆料的真实分散状态。本发明能够有效排除单一指标受材料体系和工艺条件干扰的局限性,准确诊断浆料的真实分散状态。
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