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NTIS 바로가기한국전자통신학회 논문지 = The Journal of the Korea Institute of Electronic Communication Sciences, v.18 no.6, 2023년, pp.1151 - 1156
이정구 (한국과학기술정보연구원) , 박귀만 (전남대학교 전기 및 반도체공학과) , 이은서 (전남대학교 전기 및 반도체공학과) , 진병진 (온테스트) , 배영철 (전남대학교 전기컴퓨터공학부)
In this paper, we propose a deep learning model that utilizes charge/discharge data from initial lithium-ion batteries to predict the remaining useful life of lithium-ion batteries. We build the DMP using the PNP model. To demonstrate the performance of DMP, we organize DML using the LSTM model and ...
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