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Acoustic Emission Detection and Analysis Method for Health Status of Lithium Ion Batteries

机译:锂离子电池健康状况的声发射检测及分析方法

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摘要

The health detection of lithium ion batteries plays an important role in improving the safety and reliability of lithium ion batteries. When lithium ion batteries are in operation, the generation of bubbles, the expansion of electrodes, and the formation of electrode cracks will produce stress waves, which can be collected and analyzed by acoustic emission technology. By building an acoustic emission measurement platform of lithium ion batteries and setting up a cycle experiment of lithium ion batteries, the stress wave signals of lithium ion batteries were analyzed, and two kinds of stress wave signals which could characterize the health of lithium ion batteries were obtained: a continuous acoustic emission signal and a pulse type acoustic emission signal. The experimental results showed that during the discharge process, the amplitude of the continuous acoustic emission signal decreased with the increase of the cycle times of batteries, which could be used to characterize performance degradation; there were more pulse type acoustic emission signals in the first cycle of batteries, less in the small number of cycles, and slowly increased in the large number of cycles, which was in line with the bathtub curve and could be used for aging monitoring. The research on the health of lithium ion batteries by acoustic emission technology provides a new idea and method for detecting the health lithium ion batteries.
机译:锂离子电池的健康检测在提高锂离子电池的安全性和可靠性方面起着重要作用。当锂离子电池运行时,气泡的产生,电极的膨胀和电极裂缝的形成将产生应力波,这可以通过声发射技术收集和分析。通过构建锂离子电池的声发射测量平台并设置锂离子电池的循环实验,分析了锂离子电池的应力波信号,以及两种应表征锂离子电池健康的应力波信号获得:连续声发射信号和脉冲型声发射信号。实验结果表明,在放电过程中,连续声发射信号的幅度随着电池的循环时间的增加而降低,这可用于表征性能下降;在电池的第一循环中有更多的脉冲型声发射信号,少量循环较少,并且在大量循环中缓慢增加,这与浴缸曲线一致,可用于老化监测。声发射技术对锂离子电池健康的研究提供了一种用于检测健康锂离子电池的新思路和方法。

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