An efficient itinerary management scheme for electric vehicles using ACO

Deepika Hooda, Neeraj Kumar
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引用次数: 2

Abstract

Electric grid has been transformed to smart grid by incorporating ICT infrastructure. This transformation of a smart grid from a conventional grid is necessary to achieve environmental targets. Smart grid technology has significantly changed the way of generation and distribution of electricity which not only helps to decrease the demand of power and cost savings, but also can comparably improve the reliability and efficiency of power system. An electric vehicle (EV), a component of smart grid is the vehicle which uses electric motors for moving the vehicle. Itinerary planning of EV is to manage the whole journey without exhausting battery capacity. The aim of the proposed model is to find the optimized route for an EV in terms of distance travelled and cost of charging from any source to destination. In this paper, an algorithm has been designed to calculate the optimized route by using Ant Colony Optimization (ACO) technique.
基于蚁群算法的高效电动汽车行程管理方案
通过整合信息通信技术基础设施,电网向智能电网转型。智能电网从传统电网的转变是实现环境目标所必需的。智能电网技术极大地改变了电力的生产和分配方式,不仅有助于减少电力需求和节约成本,而且可以相对提高电力系统的可靠性和效率。电动汽车(EV)是智能电网的一个组成部分,是使用电动机驱动车辆的车辆。电动汽车的行程规划是在不耗尽电池容量的情况下管理整个行程。提出的模型的目的是根据行驶距离和充电成本,找到电动汽车从任何地方到目的地的最佳路线。本文利用蚁群优化技术设计了一种计算优化路线的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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