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.