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The SOC Prediction of Lead-Acid Battery Based on MIV-OSELM ..:
, In:
2022 4th International Conference on Power and Energy Technology (ICPET)
,
Shuo, Sun
;
Hai-Long, Jiang
;
Chao, Li
. - p. 1005-1010 , 2022
Link:
https://doi.org/10.1109/ICPET55165.2022.9918411
RT T1 <cTitle>2022 4th International Conference on Power and Energy Technology (ICPET)</cTitle>: T1 <Title>The SOC Prediction of Lead-Acid Battery Based on MIV-OSELM Algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9918411&Exemplar=1&LAN=DE A1 Shuo, Sun A1 Hai-Long, Jiang A1 Chao, Li A1 Yi-Yang, Ding YR 2022 K1 Lead acid batteries K1 Adaptation models K1 Analytical models K1 Computational modeling K1 Input variables K1 Heuristic algorithms K1 Neural networks K1 lead-acid battery K1 state of charge (SOC) K1 incremental learning K1 adaptive ability SP 1005 OP 1010 LK http://dx.doi.org/https://doi.org/10.1109/ICPET55165.2022.9918411 DO https://doi.org/10.1109/ICPET55165.2022.9918411 SF ELIB - SuUB Bremen
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