STATE OF CHARGE (SOC) ESTIMATION METHOD BASED ON THE EXTENDED INFORMATION KALMAN FILTER FOR RECHARGEABLE BATTERIES
A.V. Golubkov, A.N. Kuvshinova, A.V. Tsyganov
Ulyanovsk State University of Education, Ulyanovsk, Russia
Keywords: state of charge of electric battery, SoC, Thevenin model, discrete system in state space, extended information Kalman filter
Abstract
The paper considers the problem of estimating the state of charge (SoC) of lithium-ion batteries. The second-order Thevenin model based on the substitution scheme is used as a mathematical model of the battery. An extended information Kalman filter is used to estimate the state of charge of the battery
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