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http://dx.doi.org/10.15207/JKCS.2020.11.6.007

Development of Battery Monitoring System Using the Extended Kalman Filter  

Jo, Sung-Woo (Materials & Components Basic Research Division, ETRI)
Jung, Sun-Kyu (Materials & Components Basic Research Division, ETRI)
Kim, Hyun-Tak (Materials & Components Basic Research Division, ETRI)
Publication Information
Journal of the Korea Convergence Society / v.11, no.6, 2020 , pp. 7-14 More about this Journal
Abstract
A Battery Monitoring System capable of State-of-Charge(SOC) estimation using the Extended Kalman Filter(EKF) is described in this paper. In order to accurately estimate the SOC of the battery, the battery cells were modeled as the Thevenin equivalent circuit model. The Thevenin model's parameters were measured in experiments. For the Battery Monitoring System, we designed a battery monitoring device that can calculate the SOC estimation using the EKF and a monitoring server that controls multiple battery monitoring devices. We also develop a web-based dashboard for controlling and monitoring batteries. Especially the computation of the monitoring server could be reduced by calculating the battery SOC estimation at each Battery Monitoring Device.
Keywords
Battery; SOC; EKF; Monitoring; Web Service;
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Times Cited By KSCI : 10  (Citation Analysis)
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