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1 Ergebnisse
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Hybrid Data-Driven Approach for Predicting the Remaining Us..:
Li, Yuanjiang
;
Li, Lei
;
Mao, Runze
...
IEEE Transactions on Transportation Electrification. 10 (2024) 2 - p. 2789-2805 , 2024
Link:
https://doi.org/10.1109/tte.2023.3305555
RT Journal T1 <Title>Hybrid Data-Driven Approach for Predicting the Remaining Useful Life of Lithium-Ion Batteries</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tte.2023.3305555&Exemplar=1&LAN=DE A1 Li, Yuanjiang A1 Li, Lei A1 Mao, Runze A1 Zhang, Yi A1 Xu, Song A1 Zhang, Jinglin PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 2332-7782 SN 2372-2088 JF IEEE Transactions on Transportation Electrification VO 10 IS 2 SP 2789 OP 2805 LK http://dx.doi.org/https://doi.org/10.1109/tte.2023.3305555 DO https://doi.org/10.1109/tte.2023.3305555 SF ELIB - SuUB Bremen
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