상세정보
학술대회
A Study of Prediction Methods for lithium-ion Battery Capacity
- 발행일
- 202210
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1840-1845
- 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