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1
Predicting Remaining Useful Life of Lithium-Ion Battery Usi..:
, In:
2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
,
Yang, Long-Hao
;
Qian, Bei-Ya
;
Huang, Chen-Xi
... - p. 585-591 , 2023
Link:
https://doi.org/10.1109/ISKE60036.2023.10480946
RT T1 <cTitle>2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)</cTitle>: T1 <Title>Predicting Remaining Useful Life of Lithium-Ion Battery Using Extended Belief Rule Base Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10480946&Exemplar=1&LAN=DE A1 Yang, Long-Hao A1 Qian, Bei-Ya A1 Huang, Chen-Xi A1 Ye, Fei-Fei A1 Hu, Haibo A1 Wu, Hai-Dong YR 2023 K1 Lithium-ion batteries K1 Knowledge engineering K1 Industries K1 Analytical models K1 Roads K1 Carbon dioxide K1 Predictive models K1 lithium-ion battery K1 remaining useful life K1 extended belief rule base K1 health indicators K1 data-driven SP 585 OP 591 LK http://dx.doi.org/https://doi.org/10.1109/ISKE60036.2023.10480946 DO https://doi.org/10.1109/ISKE60036.2023.10480946 SF ELIB - SuUB Bremen
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