Estimating the rate of battery degradation under a stationary Markov operating policy

Rechargeable Li-Ion battery energy storage is becoming a vital component of many power systems. The infinite horizon Markov decision problem (MDP) framework has been proposed for optimal scheduling of battery charging and discharging under uncertainty in many applications, such as hybrid electric vehicles and bulk electric power grids. In this paper we explain how to determine the expected rate of battery capacity degradation from the solution of an infinite horizon MDP and a degradation severity factor map. We apply the proposed methods to an example MDP from literature.