Open AccessOverview of Power Lithium Battery Modeling and Soc Estimation
Author(s) -
Darui He,
W Zhang,
Xiuying Luo
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 - 10.1088/1755-1315/461/1/012032
Subject(s) - computer science , kalman filter , equivalent circuit , lithium battery , voltage , battery (electricity) , power (physics) , extended kalman filter , electronic engineering , control theory (sociology) , electrical engineering , engineering , artificial intelligence , ion , physics , quantum mechanics , ionic bonding , control (management)
Power lithium battery is the hotspot of current research. This paper introduces the mechanism model and equivalent circuit model from the external characteristics and internal characteristics of lithium battery, and analyzes the applicable scenarios and principles of these two models. According to the existing model, the principle of the SOC, the advantages and disadvantages and the existing problems of the ampere-time integral method, the open-circuit voltage method, the neural network algorithm and the Kalman filter algorithm are introduced.