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

Xinyi Yuan, Yiyu Wang, Weibin Li, Mingxi Deng
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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 (QSC) 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 (SNR) 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.
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通过超声波准静态分量生成估算锂离子电池充电状态的新方法
锂离子电池含有复杂的内部组件,如多孔介质和电解质,这导致超声波在这些电池中的强散射和高衰减。超声波准静态成分 (QSC) 的低衰减特性为高衰减和多孔材料的无损评估提供了巨大潜力。本文介绍了一种利用超声波准静态分量估算锂离子电池充电状态(SOC)的创新方法。实验结果表明,所产生的 QSC 振幅与锂离子电池的 SOC 之间存在清晰且可重复的线性关系。此外,还比较了电池的不同 SOC 与传统线性超声波参数、二次谐波发生(SHG)和 QSC 之间的关系,以验证所提方法提高了灵敏度。值得注意的是,与线性超声波特征和 SHG 相比,生成的 QSC 对 SOC 变化的灵敏度要高得多。我们采用相位反转方法进一步提高了测量 QSC 信号的信噪比(SNR)。实验结果表明,所提出的方法对电池 SOC 的变化具有更高的灵敏度,从而显著提高了检测精度和分辨率。该方法有效解决了当前检测方法中存在的缺陷,如精度有限和响应时间缓慢。该方法为克服这一挑战提供了新的解决方案。同时,它还证实了非线性超声有望成为 SOC 评估的替代方法,为高效、安全的电池管理实践奠定基础。
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