Adaptive state of charge (SOC) estimation for batteries with parametric uncertainties

In this paper, we introduce an adaptive state of charge (SOC) estimator for batteries. The adaptive strategy consists of online parameters estimation. A Lyapunov-based stability analysis is presented for the proposed estimation technique. Unlike other estimation strategies, only battery terminal voltage and current measurements are required. A computer simulation highlights the performance of the proposed estimator in determining the SOC with high accuracy.