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

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%.

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Publication Details

Journal
iEnergy
Published
2024-09-01
DOI
https://doi.org/10.23919/ien.2024.0017
Citations
3
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.61
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article

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

Yongqi Li, You‐Wei Wen, Rui Xiong, Cheng Chen et al.
3 citations
iEnergy
Advanced Battery Technologies Research
0.61
article

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

Yongqi Li, You‐Wei Wen, Rui Xiong, Cheng Chen, Yifei Chen, Qikai Lei, Kaixuan Zhang
article en
3 citations

Abstract

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%.

iEnergyVol. 3(3)
Beijing Institute of Technology (CN), University of Science and Technology of China (CN), China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 33%
Advanced Battery Technologies Research
0.61
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