Optimal Charging Station Search in Manhattan Poisson Line Cox Process

Abstract

With the increasing popularity of electric vehicles (EVs), mileage anxiety and charging waiting caused by disorderly charging are the main constraints restricting the development of EVs. In this paper, we use stochastic geometric modeling and analysis of the vehicle road and location distribution network, combined with the residual mileage estimation model to estimate the remaining charge and charging probability of EVs at any location. The charging scheduling strategies of the first-come-first-served and same-moment low state of charge first-charged. The results show that the simulated MPLCP model can estimate the state of charge (SOC), drivers can make appropriate path planning, and achieve optimal charging options. The adopted charging strategy can reduce users' waiting time for charging at charging stations (CSs) and avoid congestion in CSs.