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Scheduling and Routing of Mobile Charging Stations to Charge Electric Vehicles in a Smart-City

机译:移动充电站的调度和路由在智能城市中充电电动车辆

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摘要

We introduce the concept of mobile charging stations to charge electric vehicles. The mobile charging stations are vehicles carrying fast DC-DC chargers and battery bank. These mobile charging stations are scheduled and routed to service spatially and temporally heterogeneous electric vehicle charging requests. We formulate the optimization problem to minimize the cost of charging while satisfying the constraints of mobile charging stations and deadline constraints of charging requests. We show that the optimization problem which we have formulated is a combination of Bin–packing problem and a multi-city travelling-salesman-problem hence it is NP-hard and cannot be solved in reasonable CPU time, unless P=NP. We thus propose the modified Clarke and Wright Saving’s heuristics to solve this problem. Numerical results show that our algorithm requires less number of mobile charging stations and can appreciably reduce the cost of charging while simultaneously increasing customer satisfaction.
机译:我们介绍了移动充电站的概念来充电电动车。移动充电站是携带快速DC-DC充电器和电池组的车辆。这些移动充电站预定并路由到服务空间和时间异质电动车辆充电请求。我们制定优化问题,以最小化充电成本,同时满足移动计费站的约束和充电请求的截止日期限制。我们表明,我们制定的优化问题是箱包装问题的组合,而且多城市旅行 - 推销员问题因此是NP - 硬,除非P = NP,否则不能在合理的CPU时间内解决。因此,我们提出了改进的克拉克和赖特储蓄的启发式来解决这个问题。计算结果表明,我们的算法需要更少的移动充电站的数量,可以明显降低收费,同时提高客户满意度的成本。

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