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학술대회 A Study of Prediction Methods for lithium-ion Battery Capacity
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저자
이현용, 김낙우, 이준기, 이병탁
발행일
202210
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1840-1845
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952452
협약과제
22ZK1100, 호남권 지역산업 기반 ICT 융합기술 고도화 지원사업, 강현서
초록
Lithium-ion batteries have been used in various applications in the electronics industry. It is very important to know accurate remaining useful life of lithium-ion batteries for safety and reliability issues. One way for estimating the remaining useful life is to predict battery capacity degradation trend. In this paper, we discuss a Transformer network and an empirical model as candidate methods for predicting battery capacity degradation trend. Using the datasets publicly available, we compare two methods.
KSP 제안 키워드
Battery capacity, Capacity degradation, Electronics industry, Empirical model, Ion batteries, Safety and reliability, lithium-ion batteries(LIBs), prediction method, remaining useful life