An improved state-of-charge estimation method for sodium-ion battery based on combined correction of voltage and internal resistance

被引:0
作者
Li, Yongqi [1 ,3 ]
Chen, Cheng [2 ]
Wen, Youwei [1 ]
Lei, Qikai [1 ]
Zhang, Kaixuan [2 ]
Chen, Yifei [2 ]
Xiong, Rui [2 ]
机构
[1] China Southern Power Grid Power Generat Co Ltd, Energy Storage Res Inst, Guangzhou 510663, Peoples R China
[2] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
[3] Univ Sci & Technol China, Coll Resources & Environm, State Key Lab Fire Sci, Hefei 230026, Peoples R China
来源
IENERGY | 2024年 / 3卷 / 03期
基金
中国国家自然科学基金;
关键词
Sodium-ion battery; equivalent circuit model; parameter identification; state of charge; joint estimation;
D O I
10.23919/IEN.2024.0017
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The accurate state-of-charge (SOC) estimation of sodium-ion batteries is the basis for their efficient application. In this paper, a new SOC estimation method suitable for sodium-ion batteries and their application conditions is proposed, which considers the combination of open circuit voltage (OCV) and internal resistance correction. First, the optimal order of equivalent circuit model is analyzed and selected, and the monotonic and stable mapping relationships between OCV and SOC, as well as between ohmic internal resistance and SOC are determined. Then, a joint estimation algorithm for battery model parameters and SOC is established, and a joint SOC correction strategy based on OCV and ohmic internal resistance is established. The test results show that OCV correction is reliable when polarization is small, that the ohmic internal resistance correction is reliable when the current fluctuation is large, and that the maximum absolute error of SOC estimation of the proposed method is not more than 2.6%.
引用
收藏
页码:128 / 134
页数:7
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