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1
Neural Network Approaches for State of Charge Prediction of..:
, In:
2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)
,
Apa, Ludovica
;
Del Prete, Zaccaria
;
Forconi, Flavia
... - p. 236-241 , 2024
Link:
https://doi.org/10.1109/MELECON56669.2024.10608570
RT T1 <cTitle>2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)</cTitle>: T1 <Title>Neural Network Approaches for State of Charge Prediction of Rechargeable Lithium Polymer Batteries</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10608570&Exemplar=1&LAN=DE A1 Apa, Ludovica A1 Del Prete, Zaccaria A1 Forconi, Flavia A1 Palermo, Martina A1 Fulginei, Francesco Riganti A1 Rizzuto, Emanuele A1 Sabino, Lorenzo YR 2024 SN 2158-8481 K1 Recurrent neural networks K1 Neurons K1 Lithium K1 Discharges (electric) K1 Batteries K1 Feedforward neural networks K1 Delays K1 battery management system K1 artificial neural networks K1 feedfoward neural network K1 recurrent neural network K1 lithium battery K1 state of charge K1 charge K1 discharge SP 236 OP 241 LK http://dx.doi.org/https://doi.org/10.1109/MELECON56669.2024.10608570 DO https://doi.org/10.1109/MELECON56669.2024.10608570 SF ELIB - SuUB Bremen
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