Chapter
Jul 3, 2013
Research on SOC Estimation for Power Lithium Battery Based on Kalman Filter
Authors: Xu Wang, Chunsheng Jiang, and Duanfeng ChuAuthor Affiliations
Publication: ICTIS 2013: Improving Multimodal Transportation Systems-Information, Safety, and Integration
Abstract
Considering the lithium ion battery, this paper analyzes the influential factors of the SOC and the lithium battery model. Two lithium, ion-powered battery models are proposed. One is the battery-equivalent circuit model (the Thevenin model) and the other is the external characteristic of equivalent model (the algebra model). Kalman filtering is used to estimate the SOC of the battery and is described in detail. The simulation results show that if the error of the SOC initial value is large, the Kalman filter adjusts the SOC value to converge close to the true value. This proves that Kalman filtering is an effective method.
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© 2013 American Society of Civil Engineers.
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Published online: Jul 3, 2013
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Xu Wang
China Automotive Technology & Research Center, Tianjin, 300300
Chunsheng Jiang
China Vehicle Technology Service Center, Beijing, 100070
Duanfeng Chu
Wuhan University of Technology, Wuhan, 430070
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