A roadmap for modeling and feature extraction of energy storage battery pack for marine energy power station

被引:0
|
作者
Zhang, Liqiang [1 ]
Liu, Lanjun [1 ]
Yang, Rui [1 ]
Wang, Kun [1 ]
Chen, Zhen [1 ]
Li, Ming [1 ]
机构
[1] Ocean Univ China, Dept Automat & Measurement, Coll Engn, Qingdao, Peoples R China
基金
中国国家自然科学基金;
关键词
Lithium-ion battery pack; health feature extraction; double-layer model; energy storage; LITHIUM-ION BATTERIES; CAPACITY FADE; DEGRADATION; MECHANISMS;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper introduces the entire roadmap and detailed research methods of our NSFC project. A three-stage roadmap is proposed for energy store application of marine power station, and called upon to solve the key issues of health feature rapid extraction and modeling for battery pack. Efficient numerical modeling, rapid ICA and EIS testing and degradation of key features investigating makes the acquirement of the key features much faster. Graph theory and data mining method will be applied in the preparation of the performance and health relationship between cells and pack. A double-layer model will be finally proposed to describe the performance and health behavior of the battery pack. This project can provide a systematic method for extracting health features of energy store battery pack, the findings will enrich the theoretical understanding of battery pack health and its degradation mechanisms, and provide strong support for health status evaluation in further.
引用
收藏
页码:1032 / 1038
页数:7
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