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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
- 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.
- KSP Keywords
- Capacity degradation, Electronics industry, Empirical model, Ion batteries, Lithium-ion batteries(LIBs), Prediction methods, Remaining useful life, Safety and reliability, battery capacity