Dynamical estimation of State-of-Health of batteries by using adaptive observer

The battery performance relative to the initial conditions such as usable capacity, thermal behavior, and electrical response are correlated to its State-of-Health (SOH) that determines its remaining life cycles. The most direct and simple way for estimating the SOH is to measure or estimate the electrical characteristics of the battery. Such the characteristics can be modeled by equivalent circuit that is mostly composed of a series resistor and parallel RC networks. It implies the parametric estimation of the equivalent circuit model can facilitate the determination of the SOH. In this study, an adaptive observer incorporated with estimator for unobservable RC state is devised to accurately estimate the relevant parameters. A simulation is presented to validate the effectiveness of the proposed algorithm. This proposed scheme can be applied to different types of batteries, and dynamically monitor the parameters relating to the SOH.