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http://dx.doi.org/10.4313/TEEM.2016.17.1.13

A Simplified Li-ion Battery SOC Estimating Method  

Zhang, Xiaoqiang (North China University of Technology)
Wang, Xiaocheng (North China University of Technology)
Zhang, Weiping (North China University of Technology)
Lei, Geyang (North China University of Technology)
Publication Information
Transactions on Electrical and Electronic Materials / v.17, no.1, 2016 , pp. 13-17 More about this Journal
Abstract
The ampere-hour integral method and the open circuit voltage method are integrated via the extended Kalman filter method so as to overcome insufficiencies of the ampere-hour integral method and the open circuit voltage method for estimating battery SOC. The process noise covariance and the measurement noise covariance of the extended Kalman filter method are simplified based on the Thevenin equivalent circuit model, with a proposed simplified SOC estimating method. Verification of DST experiments indicated that the battery SOC estimating method is simple and feasible, and the estimated SOC error is no larger than 2%.
Keywords
Li-ion battery; SOC estimation; Extended Kalman filter method; Process noise covariance;
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