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

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

An accurate battery State of Charge (SOC) estimation is very important for electric vehicles. In this paper, a method is proposed to estimate the SOC of the lithium-ion batteries using radial basis function (RBF) networks and the adaptive unscented Kalman filter (AUKF). The RBF networks are to model...

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Bibliographic Details
Main Authors: Liu, Zhitao, Wang, Youyi, Du, Jiani, Chen, Can
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/99709
http://hdl.handle.net/10220/12820

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