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Descriptive analysis of e-mobility system

机译:电动汽车系统的描述性分析

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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:本文探讨了电动汽车(EV)驾驶员的充电方式和偏好。通过各种聚类分析,它确定了三个主要方面:充电配置文件,偏好和充电设施。反过来,这也研究了电动汽车(e-mobility)系统的独特性质。它是对英格兰东北部现有电动汽车系统的经验数据驱动分析。第一种分析是面向收费网络的。它标记了影响充电设施(RF)使用的主要设计和行为变量,并调查了网络设计功能与用户的充电模式之间的相关性。第二种分析是面向最终用户的,其目的是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,该矩阵链接并汇总了所执行的分析。计划主管部门和政策制定者应该对这项研究感兴趣。它提供了有关充电模式的见解和建议,以了解电动汽车系统的性质并计划新的RF。

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