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1 Ergebnisse
1
Advanced Battery Management for Electric Vehicles: A Deep D..:
, In:
2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream)
,
Fallah, Saad El
;
Kharbach, Jaouad
;
Vanagas, Jonas
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/eStream61684.2024.10542616
RT T1 <cTitle>2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream)</cTitle>: T1 <Title>Advanced Battery Management for Electric Vehicles: A Deep Dive into Estimation Techniques Based on Deep Learning for the State of Health and State of Charge of Lithium-Ion Batteries</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10542616&Exemplar=1&LAN=DE A1 Fallah, Saad El A1 Kharbach, Jaouad A1 Vanagas, Jonas A1 Vilkelyte, Zivile A1 Tolvaisiene, Sonata A1 Ikmel, Ghita A1 Redouani, Assia A1 Lagnaoui, Saloua A1 Boumais, Khaoula A1 Jamil, Mohammed Ouazzani YR 2024 SN 2690-8506 K1 Lithium-ion batteries K1 Degradation K1 Deep learning K1 Recurrent neural networks K1 Estimation K1 Battery management systems K1 Electric vehicles K1 State of health K1 Electric vehicle K1 State of charge SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/eStream61684.2024.10542616 DO https://doi.org/10.1109/eStream61684.2024.10542616 SF ELIB - SuUB Bremen
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