储能科学与技术 ›› 2024, Vol. 13 ›› Issue (4): 1118-1127.doi: 10.19799/j.cnki.2095-4239.2024.0025

• 电池智能制造、在线监测与原位分析专刊 • 上一篇    下一篇

狭缝挤压式涂布质量密度流场演变与膜区形貌的闭环控制策略

刘玉青1(), 林怀锋2, 于艳玲1(), 崔栋3   

  1. 1.哈尔滨工业大学化工与化学学院,黑龙江 哈尔滨 150001
    2.东莞市中能精密机械有限公司,广东 东莞 523000
    3.燕山大学车辆与能源学院,河北 秦皇岛 066004
  • 收稿日期:2024-01-08 修回日期:2024-03-01 出版日期:2024-04-26 发布日期:2024-04-22
  • 通讯作者: 于艳玲 E-mail:liuyuqingjob@163.com;yuyanling@hit.edu.cn
  • 作者简介:刘玉青(1984—),男,博士,副教授,研究方向为锂电工艺与智能制造,E-mail:liuyuqingjob@163.com
  • 基金资助:
    河北省自然科学基金(E2022203036)

Closed-loop control strategy of mass-density flow field evolution and film morphology for slot die coating

Yuqing LIU1(), Huaifeng LIN2, Yanling YU1(), Dong CUI3   

  1. 1.School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China
    2.Dongguan Zhongneng Precision Machinery Co. , Ltd. , Dongguan 523000, Guangdong, China
    3.School of Vehicles and Energy, Yanshan University, Qinhuangdao 066004, Hebei, China
  • Received:2024-01-08 Revised:2024-03-01 Online:2024-04-26 Published:2024-04-22
  • Contact: Yanling YU E-mail:liuyuqingjob@163.com;yuyanling@hit.edu.cn

摘要:

涂布是锂离子电池制造过程中的关键工序,其工艺规格对电池容量一致性和安全性起着至关重要的作用,且涉及表面化学、流变理论等多学科复杂机理。各锂电制造厂家与涂布设备厂家都在追求自动控制的智能化操作方法,而当前的涂布研究往往局限于表面化学等微观问题。本工作在综合相关文献研究及仿真分析的基础上,首次提出了浆料在狭缝挤压式涂布过程中质量密度流场与膜区形貌的狭缝挤压、离模膨胀、润湿成膜、干燥收缩4个演变过程。归纳了涂布演变过程中各影响因素对面密度横向一致性、面密度纵向一致性、边缘厚度、膜区宽度、漏涂缺陷、辊压后剥离强度这6个涂布核心工艺指标造成的影响,通过对这些影响涂布过程的主动变量和不可控因子的分析,可以更好地了解涂布过程中可能出现的问题和原因。最后本文对这6个核心工艺指标分别设计了智能调节与人工干预相结合的闭环控制策略,为涂布的智能化和无人化生产改善提供了理论指导与算法框架,对提高锂电涂布过程中的产品质量和生产效率具有重要意义。

关键词: 狭缝涂布, 表面化学, 流变学, 制造工艺, 智能制造

Abstract:

As a key process in manufacturing lithium-ion batteries, coating compliance with process specifications plays a crucial role in the capacity consistency and safety of batteries and involves complex mechanisms such as surface chemistry and rheology theory. Lithium-ion battery manufacturers and coating equipment suppliers are pursuing automated and intelligent coating operation methods, whereas current research on coating is often limited to surface chemistry and other microscopic problems. Based on comprehensive literature research and simulation analysis, four evolution processes of mass-density flow field and film morphology of slurry, namely during slot die coating, mold expansion, wetting film formation, and drying shrinkage, are proposed for the first time. The influence of six key processes and quality indices, namely the consistency of the transverse opposite density, consistency of longitudinal areal density, edge thickness, film width, missing coating defects, and peel strength after calendaring, are summarized in the process of coating evolution. Through the analysis of these active variables and uncontrollable factors affecting the coating process, we can better understand the possible problems and reasons related to these problems in the coating process. Finally, a closed-loop control strategy combining intelligence and manual intervention was devised to manage the six coating quality indices. This strategy provides theoretical guidance and an algorithmic framework for improving intelligent coating and unmanned production. Additionally, this strategy is of great significance for improving the quality and production efficiency of lithium-ion battery coatings.

Key words: slot die coating, surface chemistry, rheology, manufacturing process, intelligent manufacturing

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