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A novel approach for state-of-charge estimation of lithium-ion batteries by quasi-static component generation of ultrasonic waves.

Authors :
Yuan, Xinyi
Wang, Yiyu
Li, Weibin
Deng, Mingxi
Source :
Measurement Science & Technology; Sep2024, Vol. 35 Issue 9, p1-10, 10p
Publication Year :
2024

Abstract

Lithium-ion batteries content complex internal components, such as porous media and electrolytes, which result in strong scattering and high attenuation of ultrasonic waves in these batteries. The low attenuative feature of the quasi-static components (QSCs) of ultrasonic waves offers great potential for nondestructive assessment of highly attenuating and porous materials. This paper presents an innovative approach for estimating the state-of-charge (SOC) of lithium-ion batteries using QSC of ultrasonic waves. Experimental results demonstrate a clear and repeatable linear relationship between the amplitudes of the generated QSC and the SOC of lithium-ion batteries. In addition, the relationships between different SOCs of the battery and the conventional linear ultrasonic parameters, second harmonic generation (SHG), and the QSC were compared to verify the improved sensitivity of the proposed approach. Notably, compared to linear ultrasonic features and the SHG, the generated QSC shows much higher sensitivity to the variations of SOC. We employ the phase-reversal method to further enhance the signal-to-noise ratio of measured QSC signals. The experimental results demonstrate that the proposed method exhibits a heightened sensitivity to changes in the SOC of batteries, resulting in significantly enhanced detection accuracy and resolution. This method effectively addresses the deficiencies observed in the current detection methods such as limited accuracy and sluggish response times. This method provides a new solution to overcome this challenge. Meanwhile, it also confirms that nonlinear ultrasound promises an alternative method for SOC assessment, providing a foundation for efficient and safe battery management practices. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09570233
Volume :
35
Issue :
9
Database :
Complementary Index
Journal :
Measurement Science & Technology
Publication Type :
Academic Journal
Accession number :
177634683
Full Text :
https://doi.org/10.1088/1361-6501/ad4e54