点击次数：

影响因子：7.2

DOI码：10.1109/TTE.2024.3414190

发表刊物：IEEE Transactions on Transportation Electrification

关键字：LIB, Feature extraction, Clustering methods, Internal-external Euclidean distance, Stepwise regrouping

摘要：LIB regrouping echelon utilization application scenarios are very wide, such as communication base station backup power supply, distributed energy storage system, photovoltaic power station, etc. A key challenge is to ensure the consistency and scale of the regrouping LIB module. However, the inadequacies of existing solutions have hindered the widespread adoption of echelon utilization. Hence, two optimized features are determined as the screening criteria. Meanwhile, FCM clustering algorithm and subtractive clustering algorithm are proposed to combine to carry out LIB clustering efficiently. Furthermore, a new stepwise regrouping approach based on internal-external Euclidean distance is put forward to ensure the scale same of each LIB module and meet the direct echelon utilization application scenario requirements. Compared with the random regrouping method, the innovatively proposed multidimensional evaluation indexes including maximum available capacity, terminal voltage and SOC, indicate that the consistency of the LIB module based on the proposed method in this paper is obviously improved. The inconsistency evaluation indexes of each dimension are all decreased by more than 20%, which may contribute to the advancement of LIB regrouping echelon utilization.

备注：中科院1区Top

合写作者：Li Wang,Wenlong Xia

第一作者：Muyao Wu

论文类型：期刊论文

通讯作者：Ji Wu

学科门类：工学

文献类型：J

页面范围：Early Access

ISSN号：2332-7782

是否译文：否

发表时间：2024-06-13

收录刊物：SCI、EI

发布期刊链接：https://ieeexplore.ieee.org/document/10556634