  The rapid emergence of electric vehicles (EVs) demands an advanced
infrastructure of publicly accessible charging stations that provide efficient
charging services. In this paper, we propose a new charging station operation
mechanism, the JoAP, which jointly optimizes the EV admission control, pricing,
and charging scheduling to maximize the charging station's profit. More
specifically, by introducing a tandem queueing network model, we analytically
characterize the average charging station profit as a function of the admission
control and pricing policies. Based on the analysis, we characterize the
optimal JoAP algorithm. Through extensive simulations, we demonstrate that the
proposed JoAP algorithm on average can achieve 330% and 531% higher profit than
a widely adopted benchmark method under two representative waiting-time penalty
rates.
