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Optimized Path Planning for Electric Vehicle Routing and Charging Station Navigation Systems

机译:电动汽车路线和充电站导航系统的优化路径规划

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摘要

With the increase in the number of electric vehicles (EV) on the street in the last years, the drivers of EVs are suffering from the problem of guiding themselves toward the nearest charging stations for recharging their batteries or finding the shortest routes toward their destinations. Although, the electric vehicle planning problem (EPP) is designed to achieve several transactions such as battery energy restrictions and the challenge of finding the nearest charging stations to the position of the electric vehicle. In this work, a new distributed system for electric vehicle routing is based on a novel driving strategy using a distributed Ant system algorithm (AS). The distributed architecture minimizes the total travelling path for the EV to attain the destination by proposing a set of the nearest charging stations that can be visited for recharging during his travels. Simulation result proved that our prototype is able to prepare optimal solutions within a reasonable time and forwarding EVs toward the nearest charging stations during their trips.
机译:近年来,随着街道上电动汽车(EV)数量的增加,电动汽车的驾驶员面临着将自己引向最近的充电站充电或寻找到目的地的最短路线的问题。虽然,电动汽车规划问题(EPP)旨在实现多项交易,例如电池能量限制和寻找与电动汽车位置最近的充电站的挑战。在这项工作中,基于分布式蚂蚁系统算法(AS)的新型驾驶策略,一种用于电动汽车路线选择的新型分布式系统。分布式架构通过提出一组最近的充电站来最大程度地减少电动汽车到达目的地的总行驶路径,在充电过程中可以访问该充电站进行充电。仿真结果证明,我们的原型能够在合理的时间内准备最佳解决方案,并在行驶过程中将电动汽车向最近的充电站转发。

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