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Analysis of Li-ion battery degradation using self-organizin..:
, In:
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
,
Pastor-Flores, Pablo
;
Bernal-Ruiz, Carlos
;
Sanz-Gorrachategui, Ivan
... - p. 4525-4530 , 2019
Link:
https://doi.org/10.1109/IECON.2019.8926907
RT T1 <cTitle>IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society</cTitle>: T1 <Title>Analysis of Li-ion battery degradation using self-organizing maps</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8926907&Exemplar=1&LAN=DE A1 Pastor-Flores, Pablo A1 Bernal-Ruiz, Carlos A1 Sanz-Gorrachategui, Ivan A1 Bono-Nuez, Antonio A1 Martin-del-Brio, Bonifacio A1 Artal-Sevil, Jesus Sergio A1 Perez-Cebolla, Francisco J. YR 2019 SN 2577-1647 K1 Discharges (electric) K1 Batteries K1 Self-organizing feature maps K1 Neurons K1 Degradation K1 US Department of Defense K1 Databases K1 Neural networks K1 Self-organizing maps (SOM) K1 batteries K1 battery degradation K1 Remaining useful life (RUL) SP 4525 OP 4530 LK http://dx.doi.org/https://doi.org/10.1109/IECON.2019.8926907 DO https://doi.org/10.1109/IECON.2019.8926907 SF ELIB - SuUB Bremen
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