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1
Accurate State of Health Estimation of Lithium-ion Batterie..:
, In:
2024 4th International Conference on Smart Grid and Renewable Energy (SGRE)
,
Eddin, Ez Eddin Ez
;
Massaoudi, Mohamed
;
Ghrayeb, Ali
- p. 1-6 , 2024
Link:
https://doi.org/10.1109/SGRE59715.2024.10428975
RT T1 <cTitle>2024 4th International Conference on Smart Grid and Renewable Energy (SGRE)</cTitle>: T1 <Title>Accurate State of Health Estimation of Lithium-ion Batteries: An Efficient ResNet-LSTM Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10428975&Exemplar=1&LAN=DE A1 Eddin, Ez Eddin Ez A1 Massaoudi, Mohamed A1 Ghrayeb, Ali YR 2024 K1 Lithium-ion batteries K1 NASA K1 Estimation K1 Feature extraction K1 Electric vehicles K1 Data models K1 Safety K1 Lithium-ion battery K1 long short term memory K1 residual neural network K1 state-of-health K1 time series SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/SGRE59715.2024.10428975 DO https://doi.org/10.1109/SGRE59715.2024.10428975 SF ELIB - SuUB Bremen
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