质量(理念)
电池(电)
层压
分离器(采油)
过程(计算)
工程类
工艺工程
锂离子电池
超级电容器
汽车工程
可靠性工程
计算机科学
材料科学
电极
纳米技术
电容
化学
物理
哲学
认识论
热力学
操作系统
图层(电子)
功率(物理)
物理化学
量子力学
作者
Chao Zhang,Gabriela Ventura Silva,Tim Abraham,Christoph Herrmann
出处
期刊:Procedia CIRP
[Elsevier BV]
日期:2023-01-01
卷期号:120: 1119-1124
被引量:5
标识
DOI:10.1016/j.procir.2023.09.135
摘要
Lithium-ion batteries (LIB) are considered a prominent energy storage technology, especially in the field of electromobility. In this sense, early quality control of battery cell manufacturing is crucial as it can increase energy and material efficiency by stopping further production of critical cells. This paper proposes a virtual quality gate (VQG) concept for inline quality control of battery cell manufacturing. Based on that, only the cells that meet the predefined quality requirements can proceed to the next process steps. For quality control, the VQG includes high-potential tests (HiPot), a measurement method to characterize the electrical insulation properties of separator layers under a defined electrical voltage. As a use case, the Effects of the lamination process of electrodes and separators on cell quality are investigated using the VQG. Data-driven modeling is implemented to predict and classify cell quality concerning the process parameters of lamination. As a result, early-failure detection and better decision-making for battery cell manufacturing are achieved, increasing efficiency from both economic and environmental perspectives.
科研通智能强力驱动
Strongly Powered by AbleSci AI