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1 Ergebnisse
1
Lithium-ion battery RUL prediction using ANN and comparison..:
, In:
2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon)
,
Attari, Samina Arif
;
Shah, Dhruv
;
Joshi, Aayushi
.. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/NKCon56289.2022.10126729
RT T1 <cTitle>2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon)</cTitle>: T1 <Title>Lithium-ion battery RUL prediction using ANN and comparison to alternative models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10126729&Exemplar=1&LAN=DE A1 Attari, Samina Arif A1 Shah, Dhruv A1 Joshi, Aayushi A1 Sharma, Shreyansh A1 Phalle, Vikas M. YR 2022 K1 Lithium-ion batteries K1 Industries K1 Green products K1 Artificial neural networks K1 Maintenance engineering K1 Predictive models K1 Electric vehicles K1 Lithium-ion battery (LIB) K1 regression K1 remaining usable life K1 critical point (RUL) SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/NKCon56289.2022.10126729 DO https://doi.org/10.1109/NKCon56289.2022.10126729 SF ELIB - SuUB Bremen
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