Task Time Allocation and Reward Scheme for PEV Charging Station Advertising

Abstract

As the number of Plug-in Electric Vehicles (PEVs) is increasing in recent years, there has been a growing interest in terms of improving the charging service for on-the-move PEVs. In this paper, a task time allocation and reward scheme for advertising PEV charging station information is proposed. PEVs passing by a charging station are assigned a period of time to spread the charging station information within an interest area. To stimulate PEVs behaving cooperatively, two incentive policies provided by the charging station are studied in the task time allocation: the pre-determined reward policy and the optimal reward policy. For the former one, a fairness task time allocation scheme is developed to maximize the utility of the recruited PEVs. For the latter one, a Stackelberg game based optimization problem is formulated to obtain the optimal reward according to the utility of the charging station. An optimization tool, Geometric Water-filling, is utilized to analyze both problems efficiently. Simulation results are provided to validate the optimality of proposed schemes.