论文标题
实时电动汽车在工作场所的智能充电：现实世界中的案例研究
Real-Time Electric Vehicle Smart Charging at Workplaces: A Real-World Case Study
论文作者
论文摘要
我们在工作场所停车场研究了电动汽车（EV）的实时智能充电算法，以最大程度地减少用途的电费和需求费用，同时确保电动汽车的所有者获得足够的费用。值得注意的是，由于现实世界中的约束，我们的算法对电动汽车的收费和出发时间不可知，并使用场景生成来解释每个EV的未知未来的未来出发时间以及确定性的等效控制，以解释未来未知的EV ARRIVALLE。来自加利福尼亚州Google校园的现实世界充电数据使我们能够建立一周中每一天的需求的现实模型。然后，我们将智能充电算法与现状的各种结果在Google停车位置为期两周。
We study a real-time smart charging algorithm for electric vehicles (EVs) at a workplace parking lot in order to minimize electricity cost from time-of-use electricity rates and demand charges while ensuring that the owners of the EVs receive adequate levels of charge. Notably, due to real-world constraints, our algorithm is agnostic to both the state-of-charge and the departure time of the EVs and uses scenario generation to account for each EV's unknown future departure time as well as certainty equivalent control to account for the unknown EV arrivals in the future. Real-world charging data from a Google campus in California allows us to build realistic models of charging demand for each day of the week. We then compare various results from our smart charging algorithm to the status quo for a two week period at a Google parking location.
