Electric vehicles are one of the effective tools for pollution reduction and sustainable transportation in emerging markets. In this paper, we investigate the optimal locations and electricity prices for dynamic wireless charging links of electric vehicles to minimize total social cost within a given budget while ensuring nonnegative operating profit to alleviate a government’s operational pressure. A logit-based stochastic user equilibrium model is proposed to capture drivers’ routing and recharging behavior, and a linear programming approach is developed to determine a path recharging plan. The problem is rendered as a bi-level formulation and solved using an efficient surrogate model-based algorithm.

电动汽车是新兴市场减少污染和可持续交通的有效工具之一。在本文中，我们研究了电动汽车动态无线充电链路的最佳位置和电价，以在给定预算内最小化社会总成本，同时确保非负运营利润以减轻政府的运营压力。提出了一种基于 logit 的随机用户均衡模型来捕捉驾驶员的路线和充电行为，并开发了一种线性规划方法来确定路径充电计划。该问题呈现为双层公式，并使用基于模型的高效代理算法解决。