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A (max - plus)-based approach for charging management of electric vehicles

机译:基于(最大-最大)的电动汽车充电管理方法

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摘要

The management of electric vehicles charging and adequate assignment to charging stations are the major challenges facing managers of EV fleet. These issues required then to be optimized considering all functioning constraints and real situation of the charging process. Therefore development of a faithful model to the context integrating all entities of the process while considering their interaction and collaboration is required. In this paper we propose a (max-plus) based approach to represent a sequence of events and states of the charging process involving the principal entities. Three main components of the system will be represented: EV as a discrete entity, charging stations as energy providers and an integrated platform that ensures the synergy between the two mentioned entities. Each entity is modeled and the occurrence date of each event will be evaluated. A predictive charging approach is proposed to anticipate and improve the provided service to drivers and to suggest the adequate charging station according to their characteristics.
机译:电动汽车充电的管理以及对充电站的适当分配是电动车车队经理面临的主要挑战。然后需要考虑所有功能限制和充电过程的实际情况,对这些问题进行优化。因此,需要在结合流程的所有实体的同时,考虑其交互和协作的前提下,开发出一种能够在上下文中实现忠诚的模型。在本文中,我们提出了一种基于(最大加)的方法来表示涉及主要实体的充电过程的一系列事件和状态。该系统的三个主要组成部分将代表:电动汽车作为离散实体,充电站作为能源提供者,以及确保上述两个实体之间协同作用的集成平台。对每个实体进行建模,并评估每个事件的发生日期。提出了一种预测性充电方法,以预期和改善向驾驶员提供的服务,并根据其特征建议适当的充电站。

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