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1 Ergebnisse
1
Remaining Useful Life Prediction Model for Lithium-ion Batt..:
, In:
2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC)
,
Kim, Dong Hwan
;
Lim, Jong-Hun
;
Lim, Je-Yeong
. - p. 1-2 , 2024
Link:
https://doi.org/10.1109/CEFC61729.2024.10585974
RT T1 <cTitle>2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC)</cTitle>: T1 <Title>Remaining Useful Life Prediction Model for Lithium-ion Batteries Using Transfer Learning Base on Long Short Term Memories</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10585974&Exemplar=1&LAN=DE A1 Kim, Dong Hwan A1 Lim, Jong-Hun A1 Lim, Je-Yeong A1 Lee, Byoung Kuk YR 2024 K1 Lithium-ion batteries K1 Empirical mode decomposition K1 Computational modeling K1 Transfer learning K1 NASA K1 Predictive models K1 Prediction algorithms K1 transfer learning K1 battery degradation model K1 long short-term memory K1 Lithium ion-battery SP 1 OP 2 LK http://dx.doi.org/https://doi.org/10.1109/CEFC61729.2024.10585974 DO https://doi.org/10.1109/CEFC61729.2024.10585974 SF ELIB - SuUB Bremen
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