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Conference Paper A Study of Prediction Methods for lithium-ion Battery Capacity
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Authors
HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee
Issue Date
2022-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1840-1845
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952452
Abstract
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.