储能科学与技术 ›› 2024, Vol. 13 ›› Issue (4): 1176-1187.doi: 10.19799/j.cnki.2095-4239.2024.0167

• 电池智能制造、在线监测与原位分析专刊 • 上一篇    下一篇

动力电池智能卷绕技术

柯奥1(), 阳如坤1,2(), 吴学科1   

  1. 1.深圳吉阳智能科技有限公司,广东 深圳 518100
    2.清华大学工程师学院,北京 100084
  • 收稿日期:2024-03-11 修回日期:2024-03-21 出版日期:2024-04-26 发布日期:2024-04-22
  • 通讯作者: 阳如坤 E-mail:keao@geesun.com;yangrukun@geesun.com
  • 作者简介:柯奥(1996—),硕士,助工,研究方向为锂电装备, E-mail:keao@geesun.com
  • 基金资助:
    深圳市技术攻关重点项目(JSGG20220831110605009)

Intelligent winding technology of power batteries

Ao KE1(), Rukun YANG1,2(), Xueke WU1   

  1. 1.Shenzhen GEESUN intelligent technology Co. , Ltd, Shenzhen 518100, Guangdong, China
    2.College of Engineers, Tsinghua University, Beijing 100084, China
  • Received:2024-03-11 Revised:2024-03-21 Online:2024-04-26 Published:2024-04-22
  • Contact: Rukun YANG E-mail:keao@geesun.com;yangrukun@geesun.com

摘要:

在卷绕电芯质量的把控中,极耳对齐精度是一个极为复杂的影响因素,涉及多个工序的质量。为了解决电芯多极耳对齐精度差的问题,本文通过建立极耳位置模型,采用边缘闭环控制算法,对影响对齐精度的各项参数进行检测、矫正和控制闭环,为现有控制技术提供理论参考数据,实现极耳对齐精度的有效控制。同时,极耳位置模型可反映各项参数对极耳位置的影响方式以及极耳错位的表现方式,以便于研发人员理解各项参数对极耳错位的影响程度以及修正极耳错位的方式,并将其表现在控制方法中。仿真分析与实际控制工况的结合结果表明,所采取的控制方法对改善极耳位置有着较高的适应性,且模型也能准确反映出极耳位置的变化趋势。此外,本文进一步探讨了实现智能卷绕整体闭环的逻辑方法,进而优化整个卷绕工艺中的控制闭环,对最终实现卷绕工艺的质量闭环,提高电池性能质量以及生产效率的目标,有着重大的参考意义。

关键词: 动力电池, 极耳错位, 智能卷绕, 边缘闭环, 整体闭环

Abstract:

In the realm of wound cell quality control, tab alignment accuracy stands as a paramount yet intricate factor influencing multiple stages of the production process. To address the challenges associated with the alignment accuracy of multiple tabs in cells, this paper introduces a tab position model coupled with an edge closed-loop control algorithm. This approach facilitates the detection, correction, and control of various parameters impacting alignment accuracy, thus providing a theoretical foundation for enhancing existing control technologies and ensuring precise control over tab alignment. Furthermore, the tab position model elucidates the effects of diverse parameters on tab positioning and the manifestation of tab misalignment. This enables research and development personnel to gauge the impact of these parameters on misalignment and devise corrective strategies articulated through control methodologies. The synergy of simulation analysis and empirical control evaluations underscores the control method's adaptability in refining tab positioning, with the model accurately depicting the tab's positional dynamics. Additionally, this study delves into a logical framework for realizing a comprehensive closed-loop system in intelligent winding, aiming to optimize the control loop throughout the winding process. The insights gleaned hold substantial relevance for achieving a quality-centric closed-loop in winding operations, thereby enhancing battery performance and production efficiency.

Key words: power battery, tabs misalignment, intelligent winding, edge closed-loop, overall closed-loop

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