A <i>K</i>-Value Dynamic Detection Method Based on Machine Learning for Lithium-Ion Battery Manufacturing

A <i>K</i>-Value Dynamic Detection Method Based on Machine Learning for Lithium-Ion Battery Manufacturing

During the manufacturing process of the lithium-ion battery, metal foreign matter is likely to be mixed into the battery, which seriously influences the safety performance of the battery. In order to reduce the outflow of such foreign matter defect cells, the production line universally adopted the...

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Bibliographic Details
Main Authors: Hekun Zhang, Xiangdong Kong, Yuebo Yuan, Jianfeng Hua, Xuebing Han, Languang Lu, Yihui Li, Xiaoyi Zhou, Minggao Ouyang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Batteries
Subjects:
lithium-ion cell
foreign matter defect
<i>K</i>-value test
machine learning
local outlier factor
Online Access:https://www.mdpi.com/2313-0105/9/7/346

Internet

https://www.mdpi.com/2313-0105/9/7/346

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