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Prognostics of lithium-ion batteries health state based on ..:
Guo, Li
;
He, Hongwei
;
Ren, Yiran
...
Engineering Applications of Artificial Intelligence. 127 (2024) - p. 107317 , 2024
Link:
https://doi.org/10.1016/j.engappai.2023.107317
RT Journal T1
Prognostics of lithium-ion batteries health state based on adaptive mode decomposition and long short-term memory neural network
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2023.107317&Exemplar=1&LAN=DE A1 Guo, Li A1 He, Hongwei A1 Ren, Yiran A1 Li, Runze A1 Jiang, Bin A1 Gong, Jianye PB Elsevier BV YR 2024 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 127 SP 107317 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2023.107317 DO https://doi.org/10.1016/j.engappai.2023.107317 SF ELIB - SuUB Bremen
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