Capacity-Fading Behavior Analysis for Early Detection of Unhealthy Li-Ion Batteries
- 주제(키워드) 도움말 Lithium-ion batteries , Reliability , Battery charge measurement , Hidden Markov models , Anomaly detection , Kernel , Capacity-fading behavior analysis , early detection , qualification test , unhealthy lithium-ion (Li-ion) battery
- 발행기관 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- 발행년도 2021
- 총서유형 Journal
- 본문언어 영어
초록/요약 도움말
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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