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 ,2 ]
Chen, Cheng [3 ]
Wen, Youwei [1 ]
Lei, Qikai [1 ]
Zhang, Kaixuan [3 ]
Chen, Yifei [3 ]
Xiong, Rui [3 ]
机构
[1] Energy Storage Research Institute, China Southern Power Grid Power Generation Co., Ltd, Guangzhou
[2] College of Resources and Environment, University of Science and Technology of China, State Key Laboratory of Fire Science, Hefei
[3] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
来源
iEnergy | 2024年 / 3卷 / 03期
基金
中国国家自然科学基金;
关键词
equivalent circuit model; joint estimation; parameter identification; Sodium-ion battery; state of charge;
D O I
10.23919/IEN.2024.0017
中图分类号
学科分类号
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%. © 2022 Tsinghua University Press.
引用
收藏
页码:128 / 134
页数:6
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