Battery State of Health Model Estimation Based on Variable Projection Algorithm Using Steffensen Acceleration Method

In this paper, the variable projection based Steffensen acceleration (VP-SA) algorithm is proposed for battery state of health (SOH) estimation. The VP-SA algorithm exploits the separability of variables to reduce the dimensionality of the parameters, which can improve the estimation efficiency. In addition, based on the Steffensen acceleration method, the convergence rates of the VP algorithm can be increased. The simulation example shows the effectiveness of the proposed algorithm.