Open AccessA novel intelligent SOC prediction method of lithium-ion battery packs based on the improved unscented transformation
Author(s) -
Fei Xie,
Shunli Wang,
James Coffie-Ken,
Yanxin Xie,
Xueqing Liang
Publication year - 2019
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 - 10.1088/1755-1315/227/3/032034
Subject(s) - battery (electricity) , transformation (genetics) , lithium ion battery , battery pack , state of charge , power (physics) , computer science , process (computing) , lithium (medication) , automotive engineering , simulation , engineering , medicine , biochemistry , physics , chemistry , quantum mechanics , gene , endocrinology , operating system