期刊论文

Hu, Xiaosong;Feng, Fei

英文

Applied Energy

0306-2619

2020

262

114569

10.1016/j.apenergy.2020.114569

This work was supported in part by NSF of China (Grant No. 51807017 , 51875054 , 51875049 ), the Hunan Science Foundation for Distinguished Young Scholars of China (Grant No. 2019JJ20017 ), the Chongqing Natural Science Foudation for Distinguished Young Scholars (Grant No. Grant No. cstc2019jcyjjq0010 ), Chinese Postdoctoral Science Foundation (Grant No. 2018M643404 ), and Special Foundation of Chongqing Postdoctoral Science (Grant No. XmT2018036).

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Inconsistencies among battery cells and measurement errors have significant impacts on the accuracy and reliability of state of charge (SOC) estimations for series-connected battery packs. The aim of this paper is to propose a novel SOC estimation method for series-connected battery packs based on the fuzzy adaptive federated filtering. The mean-plus-difference model is employed to characterize the inconsistencies among battery cells. The fuzzy system is designed to improve the accuracy and adaptability of SOC estimation under cell inconsistencies. The SOC estimation value from a cell mean mod...