추출된 파라미터 기반의 확장칼만필터를 이용한 리튬인산철 배터리의 SOC추정 = SOC Estimation of an LFP Battery using Extended Kalman Filter with Extracted Prameter

다국어 초록 (Multilingual Abstract)

This paper proposes a method to estimate SOC(State of charge) by extracting parameters for each circuit element of an LFP(LiFePO4) battery equivalent circuit model and combining the Extended Kalman Filter and coulomb counting method. A lithium battery cell is generally modeled using an equivalent circuit, and parameters for each circuit element of the battery model can be extracted using pulse charging and discharging curves. Those curves are collected experimentally to characterize battery performance at various operating points. Numerical optimization algorithms are repeatedly performed in computer simulation to minimize errors in battery models and experimental data. SOC is estimated using extracted parameters and the Extended Kalman Filter algorithm.