Descriptive analysis of e-mobility system

Eiman Y. Elbanhawy
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引用次数: 1

Abstract

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.
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电动交通系统描述性分析
本文探讨了电动汽车(EV)司机的充电概况和偏好。它通过各种聚类分析确定了三个主要方面:充电概况、偏好和充电设施。这反过来又研究了电动交通(e-mobility)系统的独特性。这是对英格兰东北部现有电动汽车系统的实证数据驱动分析。首先是面向充电网络的分析。它标记了影响充电设施(rf)使用的主要设计和行为变量,并调查了网络设计特征与用户充电模式之间的相关性。第二个分析面向终端用户,旨在探索电动汽车驾驶员的非线性充电曲线和模式。接下来是一个矩阵,它将所执行的分析链接并放在一起。这项研究应引起规划当局和决策者的兴趣;它提供了关于充电模式的见解和建议,以了解电动汽车系统的性质和规划新的rf。
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