A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries

Applied Energy

Volumn 101, Issue , 2013, Pages 808-814

  He, Yao ^a   Liu, XingTao ^a   Zhang, ChenBin ^a   Chen, ZongHai ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

High power Li ion battery; State of Charge; Total available capacity; Unscented particle filter; Working model

Indexed keywords

ELECTRIC VEHICLES; ESTIMATION; LEAD ACID BATTERIES; MONTE CARLO METHODS;

AVAILABLE CAPACITY; LI-ION BATTERIES; STATE OF CHARGE; UNSCENTED PARTICLE FILTERS; WORKING MODELS;

ELECTROCHEMICAL CELLS;

CATION; DATA SET; ELECTRIC VEHICLE; ESTIMATION METHOD; EXPERIMENTAL STUDY; LITHIUM; NUMERICAL MODEL; RECONSTRUCTION; SENSOR;

EID: 84869866120     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2012.08.031     Document Type: Article

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