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

机译:在移动性不确定的情况下基于预约的移动EV充电管理

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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.
机译:随着环境影响对电动汽车(EV)的关注不断增加,电动汽车的公共充电站(CS)将变得越来越普遍。但是,由于电池电量有限,如果驾驶员朝着载满负荷进行充电的CS行驶,可能会因长时间的充电等待时间而感到不适。考虑到这一点,我们通过协调选择哪个CS进行充电来管理行驶中的EV充电,并提出一种CS选择方案,其中考虑了EV的预期充电预约,通常包括到达时间和预期充电时间,尤其是停车时间更长在本文中考虑过。基于此,通过解决由于道路上的不确定交通状况而导致EV可能无法准时到达其选择的CS的移动性不确定性,提出了用于请求改变CS选择决定的定期保留更新以进一步协调充电管理。这样做的动机主要是由于移动性不确定性会影响报告的预订信息的准确性,有关所选CS的到达时间和到达时的预计充电时间。评估结果表明,当考虑现实的EV和CS特性时,我们的建议是有效的。

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