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1 Ergebnisse
1
State of Health Estimation of Li-Ion Batteries Using Multi-..:
, In:
2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)
,
Kim, Si Joong
;
Kim, Seon Hyeog
;
Lee, Hyeong Min
... - p. 1336-1341 , 2020
Link:
https://doi.org/10.1109/ISIE45063.2020.9152544
RT T1 <cTitle>2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)</cTitle>: T1 <Title>State of Health Estimation of Li-Ion Batteries Using Multi-Input LSTM with Optimal Sequence Length</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9152544&Exemplar=1&LAN=DE A1 Kim, Si Joong A1 Kim, Seon Hyeog A1 Lee, Hyeong Min A1 Lim, Sue Hyang A1 Kwon, Gu-Young A1 Shin, Yong-June YR 2020 SN 2163-5145 K1 Batteries K1 State of charge K1 Estimation K1 Neural networks K1 Voltage measurement K1 Battery charge measurement K1 Current measurement K1 lithium-ion battery K1 long short-term memory (LSTM) K1 sequence length K1 state of health (SOH) SP 1336 OP 1341 LK http://dx.doi.org/https://doi.org/10.1109/ISIE45063.2020.9152544 DO https://doi.org/10.1109/ISIE45063.2020.9152544 SF ELIB - SuUB Bremen
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