A classification based methodology for estimation of state-of-health of rechargeable batteries

This work proposes a methodology for determining the state-of-health (SOH) of rechargeable batteries. The proposed method uses a parametric approach which is based on a generic electrical circuit model for rechargeable batteries. Battery parameters of the model are identified by an algorithm based on extended Kalman filtering (EKF). Estimated battery parameters are used as classification features in quadratic discriminant analysis. Classification performance of the proposed method is investigated via a method using the concept of Bhattacharyya distance.