Study on distributed lithium-ion power battery grouping scheme for efficiency and consistency improvement
文献类型：期刊论文
| 作者 | Bai, Xiwei1,2 ; Tan, Jie1; Wang, Xuelei1; Wang, Lianjing1; Liu, Chengbao1,2; Shi, Liyong3; Sun, Wei3
|
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2019-10-01 |
| 卷号 | 233页码:429-445 |
| 关键词 | Lithium-ion power battery grouping Consistency improvement Efficiency improvement Edge computing Distributed time-series clustering |
| ISSN号 | 0959-6526 |
| DOI | 10.1016/j.jclepro.2019.05.401 |
| 通讯作者 | Tan, Jie(jie.tan@ia.ac.cn) |
| 英文摘要 | The service life, safety, and capacity of lithium-ion power battery packs relies heavily on the consistency among battery cells. Grouping is an effective procedure to improve consistency by screening cells with similar performance and assembling them into an identical group. Battery grouping can be achieved via clustering techniques based on characteristics like static capacity, internal resistance etc. The dynamic characteristics-based method considers the battery performance during the entire charging-discharging process and has become one of the most promising grouping method. However, it suffers from high computational complexity. Nowadays, facing stricter quality standards and the increasing demand for battery products, existing dynamic characteristics-based grouping scheme cannot meet the performance and time requirement of the modern high-quality, large-scale battery manufacturing. In this paper, a novel grouping scheme based on distributed time-series clustering is proposed to match the need of both efficiency and consistency improvement. The proposed scheme designs an effective "cloud-edge" mode and utilizes an innovative two-stage trick to achieve parallel processing, which split the original centralized clustering approach into local clustering and global merging. The host computers for data acquisition and battery control are regarded as distributed edge computing resources to implement local clustering on the acquired battery discharging voltage sequence set. Cluster contours are extracted via a denoising contour extraction algorithm considering the irregularity of the discharging voltage sequences. The results of the above preliminary processing are uploaded to a cloud data center. A pragmatic merging scheme based on an integrated merging indicator is established to solve the decision-making problem of global merging on the cloud data center. The final global cluster set is transmitted back to host computers to instruct cell unloading operation. Experimental results based on real battery discharging voltage sequence data suggest that the proposed scheme can reduce the inconsistency rate by 43.56% and the time cost by 92.87%. The computing efficiency and resource utilization rate of the distributed scheme is much higher than the centralized scheme. Meanwhile, compared with three existing advanced grouping approaches, our scheme perform the best in reducing inconsistency rate. (C) 2019 Published by Elsevier Ltd. |
| WOS关键词 | ELECTRIC VEHICLES ; KEY ISSUES ; CELL ; SYSTEM ; STATE ; PACKS ; MECHANISMS ; MANAGEMENT ; HEALTH ; MODEL |
| 资助项目 | National Natural Science Foundation of China of China[U1701262] ; National Natural Science Foundation of China of China[U1801263] |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000479025500034 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Natural Science Foundation of China of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/26175]  |
| 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.Chinese Acad Sci, Inst Automat, 95 East Zhongguancun Rd, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Zhejiang Tianneng Energy Technol Co Ltd, Changxing 313100, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bai, Xiwei,Tan, Jie,Wang, Xuelei,et al. Study on distributed lithium-ion power battery grouping scheme for efficiency and consistency improvement[J]. JOURNAL OF CLEANER PRODUCTION,2019,233:429-445. |
| APA | Bai, Xiwei.,Tan, Jie.,Wang, Xuelei.,Wang, Lianjing.,Liu, Chengbao.,...&Sun, Wei.(2019).Study on distributed lithium-ion power battery grouping scheme for efficiency and consistency improvement.JOURNAL OF CLEANER PRODUCTION,233,429-445. |
| MLA | Bai, Xiwei,et al."Study on distributed lithium-ion power battery grouping scheme for efficiency and consistency improvement".JOURNAL OF CLEANER PRODUCTION 233(2019):429-445. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。