Knowledge Commons of Institute of Automation,CAS
Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data | |
Chengbao,Liu1,2; Jie, Tan1; Heyuan,Shi3; Xuelei,Wang1 | |
发表期刊 | IEEE ACCESS |
2018-10 | |
期号 | 6页码:59001 - 59014 |
文章类型 | Research |
摘要 | Due to the material variations of lithium-ion cells and fluctuations in their manufacturing precision, differences exist in electrochemical characteristics of cells, which inevitably lead to a reduction in the available capacity and premature failure of a battery pack with multiple cells configured in series, parallel, and series–parallel. Screening cells that have similar electrochemical characteristics to overcome the inconsistency among cells in a battery pack is a challenging problem. This paper proposes an approach for lithium -ion cell screening using convolutional neural networks (CNNs) based on two-step time-series clustering (TTSC) and hybrid resampling for imbalanced data, which takes into account the dynamic characteristics of lithium-ion cells, thus ensuring that the screened cells have similar electrochemical characteristics. In this approach, we propose the TTSC to label the raw samples and propose the hybrid resampling method to solve the sample imbalance issue, thereby obtaining labeled and balanced datasets and establishing the CNN model for online cell screening. Finally, industrial applications verify the effectiveness of the proposed approach and the inconsistency rate of the screened cells drops by 91.08%. |
关键词 | Lithium-ion Cell Screening Time-series Clustering Resampling Convolutional Neural Networks |
收录类别 | SCIE |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23544 |
专题 | 中科院工业视觉智能装备工程实验室_工业智能技术与系统 综合信息系统研究中心 |
通讯作者 | Jie, Tan |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.School of Software, Tsinghua University |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Chengbao,Liu,Jie, Tan,Heyuan,Shi,et al. Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data[J]. IEEE ACCESS,2018(6):59001 - 59014. |
APA | Chengbao,Liu,Jie, Tan,Heyuan,Shi,&Xuelei,Wang.(2018).Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data.IEEE ACCESS(6),59001 - 59014. |
MLA | Chengbao,Liu,et al."Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data".IEEE ACCESS .6(2018):59001 - 59014. |
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Lithium-Ion Cell Scr(19745KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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