A reservation based charging management for on-the-move EV under mobility uncertainty

Yue Cao, Ning Wang, Y. J. Kim, Chang Ge
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引用次数: 11

Abstract

With the continually increased attention on Electric Vehicles (EVs) due to environment impact, public Charging Stations (CSs) for EVs will become common. However, due to the limited electricity of battery, the driver may experience discomfort for long charging waiting time, if travelling towards a CS which is heavily loaded for charging. With this concern, we manage on-the-move EV charging by coordinating which CS to select for charging, and propose a CS-selection scheme considering EVs anticipated charging reservations generally including arrival time and expected charging time, in particular the parking duration is further considered in this paper. Upon this, by addressing mobility uncertainty that EVs may not reach their selected CSs on time due to uncertain traffic condition on the road, a periodical reservation updating for requesting the change of CS-selection decision is proposed to further coordinate charging management. The motivation for this is mainly due to that the mobility uncertainty affects the accuracy of reported reservation information, concerning the arrival time at selected CSs and expected charging time upon arrival. Evaluation results show the effectiveness of our proposal when considering realistic EV and CS characteristics.
出行不确定性下基于预约的移动电动汽车充电管理
随着人们对电动汽车环境影响的不断关注,电动汽车公共充电站将会越来越普遍。然而,由于电池电量有限,如果行驶在充电负荷较大的CS上,驾驶员可能会感到充电等待时间过长而感到不适。考虑到这一问题,我们通过协调选择充电的CS来管理移动电动汽车充电,并提出了一种考虑电动汽车预期充电预约的CS选择方案,通常包括到达时间和预期充电时间,特别是停车时间。在此基础上,针对由于道路交通状况的不确定性,电动汽车可能无法按时到达所选择的cs的移动性不确定性,提出定期预约更新请求更改cs选择决策,进一步协调充电管理。这样做的动机主要是由于移动性的不确定性影响了报告的预订信息的准确性,包括在所选CSs的到达时间和到达时的预期充电时间。评估结果表明,在考虑实际EV和CS特性的情况下,我们的建议是有效的。
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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