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An efficient on-demand charging scheduling scheme for mobile charging vehicle
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2021-07-06 , DOI: 10.1002/dac.4919
Ping Zhong 1 , Aikun Xu 1 , Jianliang Gao 1 , Yiming Zhang 2 , Yingwen Chen 2
Affiliation  

Shared transportation is a new way of traveling generated by the rapid development of the “Internet +” and the sharing economy. Due to the limited energy carried by shared e-bikes, the energy problem becomes the primary obstacle restricting its development. At present, one way to solve the energy problem is to use mobile charging vehicles (MCVs). However, how to schedule MCVs to achieve fast response, reduce energy consumption, and improve charging efficiency is crucial. In this paper, we propose a Charging Scheduling scheme based on Dynamic Characteristic of shared e-bike in Obstacle Space (CSDC-OS). Firstly, we design two MCV departure mechanisms to solve the problems of low utilization of MCVs and long waiting time for shared e-bikes. Then, we design the schedulability conditions based on the A-star algorithm and the dynamic change of e-bikes to ensure that MCVs can return to the service station in time. Finally, we propose a charging sequence algorithm based on linear skyline query and a selective insertion algorithm to improve the charging efficiency of MCVs. Simulation results show that the CSDC-OS can improve the response time, mobile consumption, and charging efficiency by more than 8% on average.

中文翻译:

一种高效的移动充电车按需充电调度方案

共享交通是“互联网+”和共享经济的快速发展催生的一种新型出行方式。由于共享电动自行车携带的能量有限,能源问题成为制约其发展的主要障碍。目前,解决能源问题的一种方法是使用移动充电车(MCV)。然而,如何调度MCV以实现快速响应、降低能耗、提高充电效率至关重要。在本文中,我们提出了一种基于障碍空间共享电动自行车动态特性的充电调度方案(CSDC-OS)。首先,我们设计了两种 MCV 发车机制,以解决 MCV 利用率低和共享电动自行车等待时间长的问题。然后,我们基于A-star算法和电动自行车的动态变化设计可调度性条件,以确保MCV能够及时返回服务站。最后,我们提出了一种基于线性天际线查询的充电序列算法和一种选择性插入算法,以提高MCV的充电效率。仿真结果表明,CSDC-OS 可将响应时间、移动消费和充电效率平均提高 8% 以上。
更新日期:2021-08-04
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