Lithium-Ion Battery Screening by K-Means with DBSCAN for Denoising
文献类型：期刊论文
| 作者 | Wang, Yudong1,2 ; Tan, Jie2; Liu, Zhenjie2; Ditta, Allah3
|
| 刊名 | CMC-COMPUTERS MATERIALS & CONTINUA
 |
| 出版日期 | 2020 |
| 卷号 | 65期号:3页码:2111-2122 |
| 关键词 | Lithium-ion battery battery screening K-means denoising |
| ISSN号 | 1546-2218 |
| DOI | 10.32604/cmc.2020.011098 |
| 通讯作者 | Tan, Jie(tan.jie@tom.com) |
| 英文摘要 | Batteries are often packed together to meet voltage and capability needs. However, due to variations in raw materials, different ages of equipment, and manual operation, there is inconsistency between batteries, which leads to reduced available capacity, variability of resistance, and premature failure. Therefore, it is crucial to pack similar batteries together. The conventional approach to screening batteries is based on their capacity, voltage and internal resistance, which disregards how batteries perform during manufacturing. In the battery discharge process, real time discharge voltage curves (DVCs) are collected as a set of unlabeled time series, which reflect how the battery voltage changes. However, few studies have focused on DVC based battery screening. In this paper, we provide an effective approach for battery screening. First, we apply interpolation on DVCs and give a method to transform them into slope sequences. Then, we use density-based spatial clustering of applications with noise (DBSCAN) for denoising and treat the remaining data as input to the K-means algorithm for screening. Finally, we provide the experimental results and give our evaluation. It is proved that our method is effective. |
| WOS关键词 | PACK |
| 资助项目 | National Key Research and Development Program[2018YFB1703400] ; National Natural Science Foundation of China[U1801263] ; National Natural Science Foundation of China[U1701262] |
| WOS研究方向 | Computer Science ; Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000572868100015 |
| 出版者 | TECH SCIENCE PRESS |
| 资助机构 | National Key Research and Development Program ; National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/41985]  |
| 专题 | 综合信息系统研究中心_工业智能技术与系统 |
| 通讯作者 | Tan, Jie |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Univ Educ, Coll Rd Lahore Punjab, Lahore 54770, Pakistan |
| 推荐引用方式 GB/T 7714 | Wang, Yudong,Tan, Jie,Liu, Zhenjie,et al. Lithium-Ion Battery Screening by K-Means with DBSCAN for Denoising[J]. CMC-COMPUTERS MATERIALS & CONTINUA,2020,65(3):2111-2122. |
| APA | Wang, Yudong,Tan, Jie,Liu, Zhenjie,&Ditta, Allah.(2020).Lithium-Ion Battery Screening by K-Means with DBSCAN for Denoising.CMC-COMPUTERS MATERIALS & CONTINUA,65(3),2111-2122. |
| MLA | Wang, Yudong,et al."Lithium-Ion Battery Screening by K-Means with DBSCAN for Denoising".CMC-COMPUTERS MATERIALS & CONTINUA 65.3(2020):2111-2122. |
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来源：自动化研究所
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