
Lithium-ion battery state of function estimation based on fuzzy logic algorithm with associated variables
Author(s) -
Lin Gan,
Feng Yang,
Yang Shi,
Hongwen He
Publication year - 2017
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 - 10.1088/1755-1315/94/1/012133
Subject(s) - battery (electricity) , reliability (semiconductor) , state of charge , state of health , fuzzy logic , lithium ion battery , computer science , lithium (medication) , reliability engineering , power (physics) , function (biology) , state (computer science) , lithium battery , algorithm , engineering , ion , artificial intelligence , chemistry , medicine , physics , quantum mechanics , evolutionary biology , biology , endocrinology , organic chemistry , ionic bonding