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A geometry-based algorithm to provide guidance for electric vehicle charging

机译：基于几何的算法可为电动汽车充电提供指导

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摘要

Electric vehicles (EVs) have been regarded as effective options for solving the environmental and energy problems in the field of transportation. However, given the limited driving range and insufficient charging stations, searching and selecting charging stations is an important issue for EV drivers during trips. A smart charging service should be developed to help address the charging issue of EV drivers, and a practical algorithm for charging guidance is required to realise it. This study aims to design a geometry-based algorithm for charging guidance that can be effectively applied in the smart charging service. Geographic research findings and geometric approaches are applied to design the algorithm. The algorithm is practical because it is based on the information from drivers' charging requests, and its total number of calculations is significantly less than that of the conventional shortest-first algorithm. The algorithm is effective because it considers the consistency of direction trend between the charging route and the destination in addition to the travel distance, which conforms to the travel demands of EV drivers. Moreover, simulation examples are presented to demonstrate the proposed algorithm. Results of the proposed algorithm are compared with those of the other two algorithms, which show that the proposed algorithm can obtain a better selection of charging stations for EV drivers from the perspective of entire travel chains and take a shorter computational time.
机译：电动汽车（EV）已被视为解决交通领域环境和能源问题的有效选择。但是，由于行驶距离有限且充电站不足，因此搜索和选择充电站是电动汽车驾驶员出行时的重要问题。应该开发一种智能充电服务来帮助解决EV驾驶员的充电问题，并且需要一种实用的充电指导算法来实现这一目的。这项研究旨在设计一种用于充电指导的基于几何的算法，该算法可以有效地应用于智能充电服务。地理研究结果和几何方法被应用于设计算法。该算法之所以实用，是因为它基于来自驾驶员充电请求的信息，并且其计算总数明显少于传统的最短优先算法。该算法之所以有效，是因为它除了考虑行驶距离外，还考虑了充电路线和目的地之间方向趋势的一致性，这符合EV驾驶员的行驶需求。此外，给出了仿真实例来证明所提出的算法。将该算法与其他两种算法的结果进行比较，表明从整个行驶链的角度来看，该算法可以为电动汽车驾驶员提供更好的充电站选择，并且计算时间较短。

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