摘要
针对锂离子电芯一致性分选问题,采用系统聚类法、模糊C均值聚类法、KOHONEN网络聚类法和广义神经网络回归聚类算法,对锂离子电芯进行筛选和快速分选配组。相较于传统的系统聚类法和模糊C均值聚类法,KOHONEN网络聚类法和广义神经网络回归聚类算法对锂离子电芯分选配组的效果更佳。
Aiming at the problem of consistency sorting of Li-ion cell,the system clustering method,fuzzy C-means clustering method,KOHONEN network clustering method and generalized neural network regression clustering algorithm were used to screen and quickly sort and group Li-ion cells.Compared with the traditional system clustering method and fuzzy C-means clustering method,the sorting and grouping effect of Li-ion cell of KOHONEN network clustering method and generalized neural network regression clustering algorithm was better.
作者
王焰辉
黄志福
林宇星
刘建炜
WANG Yan-hui;HUANG Zhi-fu;LIN Yu-xing;LIU Jian-wei(School of Business,Fuzhou Institute of Technology,Fuzhou,Fujian 350506,China;School of Information Science and Engineering,Huaqiao University,Xiamen,Fujian 361021,China;The People’s Bank of China Quanzhou Central Sub-branch,Quanzhou,Fujian 362000,China;College of Civil Engineering,Fuzhou University,Fuzhou,Fujian 350108,China)
出处
《电池》
CAS
北大核心
2021年第3期247-251,共5页
Battery Bimonthly
基金
国家自然科学基金(11305064)。
关键词
锂离子电池
电芯一致性
分选配组
聚类算法
Li-ion battery
cell consistency
sorting and grouping
clustering algorithm