中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
DOI10.1016/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

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