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Enabling the Wireless Charging via Bus Network: Route Scheduling for Electric Vehicles

机译:通过总线网络实现无线充电:电动车辆的路线调度

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摘要

The development of Electric Vehicle (EV) helps to ease energy crises and deduce vehicle exhaust emissions. However, it also brings a great impact on both transportation networks and power grids. There are some serious impediments in terms of energy charging to the popularization of EV, such as high deployment cost of charging stations, low charging efficiency, and voltage deviation of power grid. To address these issues, we design a new EV charging system, which levers the bus network in urban areas through the integration of OnLine Electric Vehicle (OLEV) system and Microwave Power Transfer (MPT) system. We formulate the EV route scheduling problem based on this new charging system to maximize the total residual energy subject to all EVs can arrive to their destinations before deadlines. Then, we propose an approximation algorithm, RSA, to solve the route scheduling problem. To relieve the traffic congestion, we further formulate the conflict-free EV route scheduling problem, and use the matching based algorithm, FRSA, to find the EV route schedules with the maximal residual energy. Through the extensive simulations, we demonstrate that RSA and FRSA can increase the average residual energy by 67.66% and 50.36% compared with the solution without the designed wireless charging system, respectively. Moreover, RSA reduces 22.22% of travel time and outputs 77.23% of residual energy, and FRSA can obtain 83.51% residual energy with 3.62% of extra travel time of the corresponding optimal solutions on average, respectively.
机译:电动车辆(EV)的发展有助于缓解能量危机并推断车辆排放。然而,它对运输网络和电网也有很大影响。在EV的普及中,能量充电方面存在一些严重的障碍,例如充电站的高部署成本,低充电效率和电网的电压偏差。为了解决这些问题,我们设计了一个新的EV充电系统,通过在线电动车(OLEV)系统和微波功率传输(MPT)系统中集成了城市地区的巴士网络。我们根据这一新的充电系统制定了EV路由调度问题,以最大限度地提高所有EVS的剩余能量,在截止日期之前可以到达其目的地。然后,我们提出了一种近似算法RSA来解决路线调度问题。为了减轻交通拥堵,我们进一步制定了无冲突的EV路由调度问题,并使用基于匹配的算法FRSA找到具有最大剩余能量的EV路由计划。通过广泛的模拟,我们证明RSA和FRSA可以分别将平均剩余能量增加67.66%和50.36%,而没有设计的无线充电系统。此外,RSA减少了22.22%的旅行时间,输出77.23%的剩余能量,FRSA分别可以分别获得83.51%的剩余能量,平均相应的最佳解决方案的额外旅行时间为3.62%。

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