Capacity-Fading Behavior Analysis for Early Detection of Unhealthy Li-Ion Batteries
Reliability testing on lithium-ion (Li-ion) batteries is critical to designing operational back-end strategies for developing portable electronics. In this article, we develop a capacity-fading behavior analysis for the early detection of unhealthy Li-ion batteries during reliability tests by compar...
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Veröffentlicht in: | IEEE transactions on industrial electronics (1982) 2021-03, Vol.68 (3), p.2659-2666 |
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Sprache: | eng |
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Zusammenfassung: | Reliability testing on lithium-ion (Li-ion) batteries is critical to designing operational back-end strategies for developing portable electronics. In this article, we develop a capacity-fading behavior analysis for the early detection of unhealthy Li-ion batteries during reliability tests by comparing against the capacity-fading behaviors of healthy batteries from qualification. The developed approach uses a local outlier factor for measuring the anomaly scores of the capacity-fading behaviors of test batteries at a certain cycle, kernel density estimation for normalizing the range of anomaly scores over cycles, and a hidden Markov model for estimating the probability that the test batteries are at a certain state (i.e., healthy or unhealthy). Experimental results on Li-ion batteries used for portable consumer electronics confirm that the developed method outperforms previous approaches, reducing the required number of reliability tests for unhealthy batteries to 100 cycles, less than a month in practice. |
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ISSN: | 0278-0046 1557-9948 |
DOI: | 10.1109/TIE.2020.2972468 |