Zonotopic filtering based operating state estimation for power battery

A state estimation method based upon zonotopic filtering for power battery to estimate the state of charge and state of health jointly is proposed. The battery model is constructed through equivalent circuit system, and a zonotopic filter is designed to obtain the state estimation through a prediction step and update step. The voltage drops and state of charge is wraped in a three-dimensional zonotope and state of health lies in an interval, which is also regarded as a one-dimensional zonotope. The centers and generators are obtained by searching an optimal argument based on the zonotope and strip of noise term. Finally, a given simulation demonstrates the effectiveness and accuracy of the proposed algorithm.