论文标题
对高级双向电动电动汽车充电控制算法的整体综述
A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms
论文作者
论文摘要
电动汽车(EV)的快速增长已承诺将下一代运输系统降低碳排放。电动汽车和充电设施的快速发展正在推动汽车互联网(IOV)的发展到电动汽车互联网(IOEV)。 IOEV从智能电网和物联网(IoT)技术中受益,这些技术分别提供高级双向收费服务和实时数据处理能力。 IOEV充电控制的主要设计挑战在于充电事件的随机性和电动汽车的流动性。在本文中,我们介绍了有关高级双向EV充电控制算法的整体综述。对于车辆到车辆(G2V),我们在两种情况下介绍了充电控制问题:1)单个充电站的操作和2)在耦合运输和电力网络中运行多个充电站。对于车辆到网格(V2G),我们讨论电动汽车如何在电力市场上进行能源交易,并为电网提供辅助服务。此外,还提供了一个案例研究,以说明IOEV中多个电动汽车的路由和收费计划的联合优化的经济利益。最后但并非最不重要的一点是,我们将重点介绍一些为IOEV收取调度问题的开放问题和未来的研究指示。
The rapid growth of electric vehicles (EVs) has promised a next-generation transportation system with reduced carbon emission. The fast development of EVs and charging facilities is driving the evolution of Internet of Vehicles (IoV) to Internet of Electric Vehicles (IoEV). IoEV benefits from both smart grid and Internet of Things (IoT) technologies which provide advanced bi-directional charging services and real-time data processing capability, respectively. The major design challenges of the IoEV charging control lie in the randomness of charging events and the mobility of EVs. In this article, we present a holistic review on advanced bi-directional EV charging control algorithms. For Grid-to-Vehicle (G2V), we introduce the charging control problem in two scenarios: 1) Operation of a single charging station and 2) Operation of multiple charging stations in coupled transportation and power networks. For Vehicle-to-Grid (V2G), we discuss how EVs can perform energy trading in the electricity market and provide ancillary services to the power grid. Besides, a case study is provided to illustrate the economic benefit of the joint optimization of routing and charging scheduling of multiple EVs in the IoEV. Last but not the least, we will highlight some open problems and future research directions of charging scheduling problems for IoEVs.