面向智能交通的电动汽车充电基础设施框架

Ruchita, R. Shankar
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引用次数: 0

摘要

在工业中增加电动汽车(ev)的制造和公众采用电动汽车的问题已经成为快速增长的社会和发展中国家的普遍需求,但电动汽车的制造和采用并不令人满意,而是很差,原因有几个,需要关注并尽快最小化。为公众提供电动汽车充电基础设施也不符合标准。因此,发展中国家似乎要对现有技术进行现代化改造。本文分析了发展中国家市场的现状,并提出了一种可能有效的新系统,可以最大限度地减少电动汽车制造和采用过程中的冗余障碍。本文采用政治、经济、社会、技术、环境、法律产业(pestei)分析来显示经济和商业环境的变化。软系统方法(SSM)可能是研究电动汽车制造和采用没有迅速提高的原因/根本原因的合适方法。SSM用于开发一个框架,该框架提供了鼓励制造商大规模生产电动汽车的方法。以及让公众采用电动汽车。本文利用peseli分析和软系统方法论(SSM)开发了一个运输系统管理框架。拟议的框架也说明了目前情况的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electric Vehicles Charging Infrastructure Framework for Smart Transportation
The issue of increasing manufacturing of electric vehicles (EVs) in industries and adoption of EVs by the public has become a universal need of fast-growing society and developing countries but manufacturing and adoption of EVs are not satisfactory rather poor due to several reasons which are to be focused and need to be minimized very fast. Providing charging infrastructure to EVs for the public is also not up to the mark. So, it seems that ongoing technologies are to be modernized in developing countries. This paper analyzes the present scenario of developing countries’ markets and proposes a new system that may be effective and may minimize obstructions that are redundant in the way of manufacturing and adoption of EVs. Political Economic Social Technological Environmental Legal Industry (PESTELI) analysis has been employed to show the happenings in the economic & business environment. Soft system methodology (SSM) may be a suitable approach for studying reasons/root causes for not rapid enhancement of manufacturing and adoption of EVs. SSM is applied to develop a framework that provides the way to encourage a manufacturer to produce EVs in large no. and to adopt EVs by the public. The paper develops a framework for the management of transportation systems using PESTELI analysis and Soft System Methodology (SSM). The proposed framework also gives the reasons for the present situation.
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