RBF network-aided adaptive unscented Kalman filter for lithium-ion battery SOC estimation in electric vehicles

Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Volumn , Issue , 2012, Pages 1673-1677

  Liu, Zhitao ^a,b   Wang, Youyi ^c   Du, Jiani ^c   Chen, Can ^c  

^a TUM CREATE   (Singapore)

^b ZHEJIANG UNIVERSITY   (China)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

adaptive unscented Kalman filter; Lithium ion battery; RBF networks; State of charge

Indexed keywords

BATTERY MODELING; BATTERY STATE OF CHARGE; LITHIUM-ION BATTERY; STATE OF CHARGE; UNSCENTED KALMAN FILTER;

ELECTRIC VEHICLES; ESTIMATION; INDUSTRIAL ELECTRONICS; LITHIUM BATTERIES; NONLINEAR FILTERING;

RADIAL BASIS FUNCTION NETWORKS;

EID: 84871672083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2012.6360994     Document Type: Conference Paper

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