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Indexed by:期刊论文

Date of Publication:2015-08-01

Journal:ICIC Express Letters

Included Journals:EI、Scopus

Volume:9

Issue:9

Page Number:2409-2414

ISSN No.:1881803X

Abstract:With the increasing popularity of battery, the state-of-charge (SOC) estimation has attracted increasingly attention for reliability and safety of battery operation. In this paper, the online least square method is employed to calculate the corresponding parameters of the lithium battery model. Furthermore, the Unscented Kalman Filtering (UKF) Algorithm is adopted to carry out the SOC estimation. The experiment results demonstrate that UKF can conduct the SOC estimation with good tracking performance and small steady error. The UKF error is no more than 0.25%. ? ICIC International 2015.