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1 Ergebnisse
1
Review on RUL Prediction Methods for Lithium-ion Battery:
, In:
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
,
Zhao, Jiahui
;
Tian, Liting
;
Cheng, Lin
.. - p. 1501-1505 , 2022
Link:
https://doi.org/10.1109/ICPSAsia55496.2022.9949753
RT T1 <cTitle>2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)</cTitle>: T1 <Title>Review on RUL Prediction Methods for Lithium-ion Battery</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9949753&Exemplar=1&LAN=DE A1 Zhao, Jiahui A1 Tian, Liting A1 Cheng, Lin A1 Zhang, Yongmi A1 Zhu, Changyu YR 2022 K1 Lithium-ion batteries K1 Employee welfare K1 Training K1 Lead acid batteries K1 Heuristic algorithms K1 Predictive models K1 Prediction algorithms K1 lithium-ion battery K1 remaining useful life K1 model-based method K1 data-driven method K1 hybrid method SP 1501 OP 1505 LK http://dx.doi.org/https://doi.org/10.1109/ICPSAsia55496.2022.9949753 DO https://doi.org/10.1109/ICPSAsia55496.2022.9949753 SF ELIB - SuUB Bremen
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