
State-of-charge estimation method of lithium-ion batteries based on long-short term memory network
Author(s) -
Qichang Zhang,
Bing Liu,
Fei Zhou,
Qianzhi Wang,
Jizhou Kong
Publication year - 2018
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 - 10.1088/1755-1315/208/1/012001
Subject(s) - state of charge , battery (electricity) , artificial neural network , lithium (medication) , computer science , lithium ion battery , term (time) , long short term memory , state (computer science) , equivalent circuit , voltage , algorithm , artificial intelligence , electrical engineering , recurrent neural network , engineering , power (physics) , physics , medicine , quantum mechanics , endocrinology