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arXiv 2203.04149physics.class-phcond-mat.mtrl-sci
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利用超声共振定量表征锂离子电池内部的层状结构

Quantitative characterisation of the layered structure within lithium-ion batteries using ultrasonic resonance

Ming Huang, Niall Kirkaldy, Yan Zhao, Yatish Patel, Frederic Cegla, Bo Lan

AI总结:

本文提出利用锂离子电池重复层产生的超声共振进行无损表征,并建立物理模型解析测量结果,以定量获取层数、电极厚度、内部层图像及逐层荷电状态。

摘要:

锂离子电池(LIB)正成为实现碳中和的重要储能解决方案,但表征其内部状态以保障性能、耐久性和安全性仍具挑战性。本研究报告了一种简单而强大的无损表征技术,其基础是LIB内部重复层形成的超声共振。研究从零开始建立了一个物理模型,用于解释标准实验超声测量装置得到的结果。作为输出,该方法提供了一系列关于LIB内部结构的关键信息,例如层数、电极平均厚度、内部层图像,以及各层之间的荷电状态变化。这使得对电芯内部属性的定量追踪成为可能,有望为生产过程中的质量控制,以及运行期间健康状态和荷电状态的追踪提供新的手段。

英文摘要:

Lithium-ion batteries (LIBs) are becoming an important energy storage solution to achieve carbon neutrality, but it remains challenging to characterise their internal states for the assurance of performance, durability and safety. This work reports a simple but powerful non-destructive characterisation technique, based on the formation of ultrasonic resonance from the repetitive layers within LIBs. A physical model is developed from the ground up, to interpret the results from standard experimental ultrasonic measurement setups. As output, the method delivers a range of critical pieces of information about the inner structure of LIBs, such as the number of layers, the average thicknesses of electrodes, the image of internal layers, and the states of charge variations across individual layers. This enables the quantitative tracking of internal cell properties, potentially providing new means of quality control during production processes, and tracking the states of health and charge during operation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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