Markov models for electric vehicles: the role of battery parameters and charging point frequency

Abstract

Electric vehicles represent a promising choice to decrease pollution and reducing fossil fuel consumption. However, their limited autonomy poses a challenge that prevents them from being suitable for many car users. Several practical solutions are sought to avoid this problem, in particular one may think of enhancing the battery capacity, reducing the charging time, or increasing the frequency of charging points. In this paper, we discuss how these aspects can be integrated by a proper Markov model, thereby offering a neat analytical solution to investigate all these problems. Some preliminary results are also shown to demonstrate the descriptiveness of the model. Further investigation can frame the proposed contribution within an optimization framework, maintaining an analytical context.