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Descriptive analysis of e-mobility system

机译:电子移动系统的描述性分析

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摘要

This article explores the charging profiles and preferences of electric vehicle (EV) drivers. It identifies three main strands: The charging profiles, preferences, and the recharging facilities through various clustering analyses. This, in turn, investigates the unique nature of the electric mobility (e-mobility) system. It is an empirical data-driven analyses of an existing EV system in the North East of England. The first analysis is charging-network oriented. It labels the main design and behavioural variables that affect the use of the Recharging Facilities (RFs) and investigates the correlation between the network design features and the users' charging patterns. The second analysis is end-user oriented and it aims at exploring the non-linear charging profiles and patterns of the EV drivers. This is followed by a matrix that links and puts together the carried out analyses. The study should be of interest to planning authorities and policy makers; it gives insights on the charging patterns and recommendations to understand the nature of the EV system and plan for new RFs.
机译:本文探讨了电动车辆(EV)驱动程序的充电配置文件和偏好。它通过各种聚类分析识别三个主要股线:充电简档,偏好和充电设施。反过来,这调查了电动迁移率(E-Mobility)系统的独特性质。它是英格兰东北地区现有的EV系统的经验数据驱动分析。第一次分析是充电网络导向。它标记了影响使用充电设施(RFS)的主要设计和行为变量,并调查网络设计功能与用户充电模式之间的相关性。第二个分析是终端用户的导向,它旨在探索EV驱动程序的非线性充电配置文件和模式。接下来是一个链接并将进行的分析组合在一起的矩阵。该研究应该对规划当局和决策者感兴趣;它可以了解充电模式和建议,了解EV系统的性质和新RF的计划。

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