Open AccessA Remaining Useful Life Prediction approach for Li-ion batteries Based on Variational Mode Decomposition and SVM
Author(s) -
Jianyi Lin,
Zhiwen Liu,
Yue Yang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/585/1/012154
Subject(s) - support vector machine , battery (electricity) , degradation (telecommunications) , decomposition , mode (computer interface) , battery capacity , lithium ion battery , computer science , process (computing) , artificial intelligence , hilbert–huang transform , gaussian process , gaussian , engineering , pattern recognition (psychology) , machine learning , chemistry , electronic engineering , white noise , physics , power (physics) , telecommunications , computational chemistry , organic chemistry , quantum mechanics , operating system