An Improved State-of-Charge Estimation Method for Sodium-Ion Battery Based on Combined Correction of Voltage and Internal Resistance

Yongqi Li, Cheng Chen*, Youwei Wen, Qikai Lei, Kaixuan Zhang, Yifei Chen, Rui Xiong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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%.

Original languageEnglish
Pages (from-to)128-134
Number of pages7
JournaliEnergy
Volume3
Issue number3
DOIs
Publication statusPublished - 2024

Keywords

  • equivalent circuit model
  • joint estimation
  • parameter identification
  • Sodium-ion battery
  • state of charge

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