摘要
目前在电池分选及成组过程中,大多数企业还不能完全实现自动化,需要靠人工辅助完成整个作业,因此本文提出采用基于改进的模糊聚类算法,利用电池自动检测平台并结合尺寸链优化技术,实现电池分选成组的自动化。首先,利用自动检测平台获取动力电池性能参数。然后,使用智能算法对电池进行首次分选。最终,对首次分选后的电池利用尺寸链优化技术实现电池成组。实验表明,此方案可以在动态流水线上自动完成电池的分选和成组,不仅保证了电池的电性能和几何性能,而且减少了工人作业时间,提高了企业的生产效率,满足企业的需求。
At present,in the process of battery sorting and grouping,most enterprises can’t fully realize automation and need to re⁃ly on manual assistance to complete the whole operation.Therefore,this paper proposes an improved fuzzy clustering algorithm,uti⁃lize the battery automatic detection platform and use the dimensional chain optimization technology to realize the automation of battery sorting and grouping.First,the power battery performance parameters are obtained using an automatic detection platform.Then,the battery is first sorted using an intelligent algorithm.Finally,the first sorting battery uses the size chain optimization tech⁃nology to achieve battery grouping.The experimental results show that this scheme can automatically complete the sorting and grouping of batteries on the dynamic assembly line,which not only ensures the electrical and geometric performance of the battery,but also reduces the working time of workers,improves the production efficiency of enterprises and meets the needs of enterprises.
作者
辛传福
赵凤霞
武钰瑾
高建设
XIN Chuan-fu;ZHAO Feng-xia;WU Yu-jin;GAO Jian-she(School of Mechanical Engineering,Zhengzhou University,He’nan Zhengzhou 450001,China)
出处
《机械设计与制造》
北大核心
2021年第7期133-136,共4页
Machinery Design & Manufacture
基金
基于物料特征识别和作业轨迹优化的电池包智能制造(2018YFB0104101)。
关键词
电池分选
电池成组
自动化
模糊聚类算法
Battery Sorting
Battery Grouping
Automation
Fuzzy Clustering Algorithm