With the popularization of new energy electric vehicles (EVs), the recommendation algorithm is widely used in the relatively new field of charge piles. At the same time, the construction of charging infrastructure is facing increasing demand and more severe challenges. With the ubiquity of Internet of vehicles (IoVs), inter-vehicle communication can share information about the charging experience and traffic condition to help achieving better charging recommendation and higher energy efficiency. The recommendation of charging piles is of great value. However, the existing methods related to such recommendation consider inadequate reference factors and most of them are generalized for all users, rather than personalized for specific populations. In this paper, we propose a recommendation method based on dynamic charging area mechanism, which recommends the appropriate initial charging area according to the user's warning level, and dynamically changes the charging area according to the real-time state of EVs and charging piles. The recommendation method based on a classification chain provides more personalized services for users according to different charging needs and improves the utilization ratio of charging piles. This satisfies users' multilevel charging demands and realizes a more effective charging planning, which is beneficial to overall balance. The chained recommendation method mainly consists of three modules: intention detection, warning levels classification, and chained recommendation. The dynamic charging area mechanism reduces the occurrence of recommendation conflict and provides more personalized service for users according to different charging needs. Simulations and computations validate the correctness and effectiveness of the proposed method.

中文翻译：

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一种车联网充电桩链式推荐方法

随着新能源电动汽车（EV）的普及，推荐算法被广泛应用于充电桩这个相对较新的领域。与此同时，充电基础设施建设面临着日益增长的需求和更加严峻的挑战。随着车联网 (IoV) 的普及，车辆间通信可以共享有关充电体验和交通状况的信息，以帮助实现更好的充电推荐和更高的能源效率。充电桩的推荐很有价值。然而，现有的与此类推荐相关的方法考虑了不充分的参考因素，并且大多数是针对所有用户进行泛化，而不是针对特定人群进行个性化。在本文中，我们提出了一种基于动态收费区机制的推荐方法，它根据用户的预警级别推荐合适的初始充电区域，并根据电动汽车和充电桩的实时状态动态改变充电区域。基于分类链的推荐方式，根据不同的充电需求，为用户提供更加个性化的服务，提高充电桩的利用率。满足用户多层次的充电需求，实现更有效的充电规划，有利于整体平衡。链式推荐方法主要包括三个模块：意图检测、警告级别分类和链式推荐。动态计费区机制，减少推荐冲突的发生，根据不同的计费需求为用户提供更加个性化的服务。仿真和计算验证了所提出方法的正确性和有效性。