优化充电站配置,实现电动汽车高效行驶

Chaima Taieb, Takwa Tlili, I. Nouaouri, S. Krichen
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引用次数: 0

摘要

本文提出了一种电动汽车充电站配置模型。目标是根据容量和充电时间的限制,将每辆电动汽车分配到最近的充电站。我们假设每辆车的到达时间都是由GPS设备提供的,并且每个充电站的容量和所需的充电时间都是已知的。为了有效地处理这一组合问题,我们提出了一个用CPLEX求解的整数规划模型。电动汽车充电站分配(EVCSA)的目标是使从起点到目的地经过充电站所需的总时间最小。为了评估所提出的方法的性能,在模拟真实世界场景的大规模随机生成实例上进行了计算实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing the charging stations allocation for efficient electric vehicles routing
In this paper, we present a charging station allocation model for electric vehicles. The goal is to assign each electric vehicle to the closest charging station with respect to capacity and charging time constraints. We assume that each vehicle's arrival time is provided by a GPS device and each charging station capacity as well as the required charging time are known in advance. We propose an integer programming model solved with CPLEX to efficiently deal with this combinatorial problem. The objective of Electric Vehicles Charging Stations Allocation (EVCSA) is to minimize the total required time from a start point to a destination going through a Charging Station (CS). To evaluate the performance of the proposed approach, computational experiments are conducted on large scale randomly generated instances simulating a real world scenario.
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