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1 Ergebnisse
1
Remaining Useful Life Estimation of Lithium-Ion Batteries V..:
, In:
2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)
,
Sahay, Rahul
;
Pugalenthi, Karkulali
;
Raghavan, Nagarajan
- p. 1-8 , 2023
Link:
https://doi.org/10.1109/PHM-Hangzhou58797.2023.1048263
RT T1 <cTitle>2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)</cTitle>: T1 <Title>Remaining Useful Life Estimation of Lithium-Ion Batteries Via Hyperparameter Optimized Bi-Long Short-Term Memory Recurrent Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10482631&Exemplar=1&LAN=DE A1 Sahay, Rahul A1 Pugalenthi, Karkulali A1 Raghavan, Nagarajan YR 2023 K1 Training K1 Lithium-ion batteries K1 Recurrent neural networks K1 Training data K1 Predictive models K1 Hyperparameter optimization K1 Discharges (electric) K1 Remaining useful life (RUL) K1 Long short-term memory (LSTM) K1 Lithium-ion batteries (LIBs) K1 Recurrent neural network (RNN) K1 Bayesian Optimization K1 Hyperparameter Tuning SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/PHM-Hangzhou58797.2023.10482631 DO https://doi.org/10.1109/PHM-Hangzhou58797.2023.10482631 SF ELIB - SuUB Bremen
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