2013
DOI: 10.1016/j.electacta.2012.10.121
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Evaluation of acoustic emission as a suitable tool for aging characterization of LiAl/LiMnO2 cell

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Cited by 24 publications
(35 citation statements)
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“…), the acoustic hits were sorted with respect to individual parameters. Each acoustic signal can generally be distinguished by its set of different characteristic parameters, such as duration, rise time, energy and amplitude, with the peak frequency appearing as the most distinctive AE parameter …”
Section: Resultsmentioning
confidence: 99%
“…), the acoustic hits were sorted with respect to individual parameters. Each acoustic signal can generally be distinguished by its set of different characteristic parameters, such as duration, rise time, energy and amplitude, with the peak frequency appearing as the most distinctive AE parameter …”
Section: Resultsmentioning
confidence: 99%
“…This has been proven by different studies on various battery materials. [40,42,59,62,[65][66][67] AE therefore provides evidence that mechanical degradation is mainly related to the occurrence of the hexagonal H2 and H3 phases in the case of LNO. We assume that both the above-mentioned second increase in hits in the initial cycle and the sudden increase in acoustic activity at high voltages in the following cycles are due to the induced strain and the associated degradation (fracture) behavior.…”
Section: Resultsmentioning
confidence: 78%
“…Each acoustic signal can generally be distinguished by its set of different characteristic parameters, such as duration, rise time, energy and amplitude, with the peak frequency appearing as the most distinctive AE parameter. [42,59] Figure 3a depicts the peak frequency histogram of the AE signals detected in the first five cycles. Based on the histogram, we divided the acoustic hits into three groups.…”
Section: Resultsmentioning
confidence: 99%
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