基本信息:
- 专利标题： 一种基于模糊均值聚类算法对电池进行分类的方法及系统
- 专利标题（英）：Method and system for classifying batteries based on fuzzy means clustering algorithm
- 申请号：CN201810231526.9 申请日：2018-03-20
- 公开(公告)号：CN108655028A 公开(公告)日：2018-10-16
- 发明人： 许守平 , 侯朝勇 , 惠东 , 胡娟 , 汪奂伶 , 渠展展 , 沈进冉 , 范红家 , 程法民 , 解玖霞
- 申请人： 中国电力科学研究院有限公司 , 国家电网公司 , 国网山东省电力公司东营供电公司
- 申请人地址： 北京市海淀区清河小营东路15号
- 专利权人： 中国电力科学研究院有限公司,国家电网公司,国网山东省电力公司东营供电公司
- 当前专利权人： 中国电力科学研究院有限公司,国家电网公司,国网山东省电力公司东营供电公司
- 当前专利权人地址： 北京市海淀区清河小营东路15号
- 代理机构： 北京工信联合知识产权代理有限公司
- 代理人： 郭一斐
- 主分类号： B07C5/344
- IPC分类号： B07C5/344 ; G06F17/30 ; G06N7/02
The invention discloses a method for classifying batteries based on the fuzzy means clustering algorithm. The method comprises the steps that the to-be-classified batteries are subjected to the dynamic impedance test in the charging state and the discharging state, and a dynamic impedance test curve of the multiple batteries in the charging and discharging state is obtained; in the dynamic impedance test curve, a plurality of sampling points of the dynamic impedance test of each battery are selected; the multiple sampling points of the dynamic impedance test of each battery are utilized, and an original data matrix of multiple classifying factors is established; the original data matrix is subjected to normalization processing, and an initialized data matrix is obtained; and on the basis of the initialized data matrix, one of the multiple classifying factors is selected as a main classifying factor, a similarity function of the main classifying factor is established through the fuzzy clustering algorithm, and the to-be-classified batteries are classified.
IPC结构图谱:
| B | 作业；运输 |
| --B07 | 将固体从固体中分离；分选 |
| ----B07C | 邮件分拣；单件物品的分选，或适于一件一件地分选的散装材料的分选，如拣选 |
| ------B07C5/00 | 按照物品或材料的特性或特点分选，例如用检测或测量这些特性或特点的装置进行控制；用手动装置，例如开关，来分选 |
| --------B07C5/04 | .根据大小来分选 |
| ----------B07C5/344 | ..根据电或电磁性质 |