Sorting method of lithium-ion batteriesinmass production

Abstract

Abstract To improve the level classificationaccuracy of the method used in the lithium-ion battery production lines, the sorting method suitable for mass production lines is studied.Based on the developed single-cell battery detection system, this paper proposed a method that combines multi-parameter sorting and fuzzy C-means clustering to realize level classification of single-cell batteries.A cycle life test was designed for comparison and verification to perform random packing, OCV and internal resistance sorting packing, multi-parameter sorting and fuzzy C-means clustering combined packing experiments.The experiment results show that the classification method combining multi-parameter sorting and fuzzy C-means clustering can improve the consistency of the batteries after grouping, and further prove that the cycle lifetimes of the battery packsincrease.