Improving Li-S Battery SOC Estimation using an SOC-Dependent Resistance Model

Autor: Xu, Chu, Cleary, Timothy, Fathy, Hosam K.
Zdroj: IFAC-PapersOnLine; January 2023, Vol. 56 Issue: 3 p439-444, 6p
Abstrakt: This paper quantifies the degree to which one can exploit the dependence of battery resistance on state of charge (SOC) for better SOC estimation, and illustrates this improvement for a Lithium-Sulfur (Li-S) battery. This work is motivated by the poor SOC estimation accuracy for batteries with shallow slopes of open-circuit potential versus SOC. This is a well-recognized challenge for a number of batteries, including Li-S batteries in the low plateau region. For such batteries, the dependence of internal resistance on SOC can be exploited to obtain more accurate SOC estimates. Moreover, dithering the battery current to increase its mean square value can be valuable for improving SOC estimation accuracy. The paper examine these insights using Fisher information analysis, then demonstrates them insights using laboratory-fabricated Li-S coin cells. An equivalent circuit model is parameterized from the resulting experimental data, then utilized in a Monte Carlo simulation study supporting the paper's theoretical insights. The simulation results show a reduction of up to 50% in SOC estimation error.
Databáze: Supplemental Index