自动发现和选择最合格的电动汽车充电站

IF 0.4 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
R. Yaqub, K. Heidary
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引用次数: 0

摘要

媒体报道显示,电动汽车(ev)的数量仍然超过公共充电站的六倍,这与电动汽车部署的早期阶段是一致的。因此,寻找充电站对电动汽车司机来说可能是一项艰巨的任务。虽然可以通过提供在线目录、基于网络的充电站定位器、全球定位系统(GPS)辅助齿轮来解决这个问题,但这些方法并不足够,因为它们不能帮助电动汽车司机自动发现和选择最合适的电动汽车充电站。因此,如果司机到达某个地点或多个地点,却因为网络不足、排队时间长、社区安全或他想要的价值而找不到服务,这将是令人沮丧的。本文介绍了一种安装在电动汽车上的智能客户端自动发现、筛选、选择或推荐最合适的电动汽车充电站的方法和装置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic discovery and selection of most qualified electric vehicle charging station
Media reports show that electric vehicles (EVs) still outnumber public charging stations by more than six to one, which is consistent with the early stage of electric car deployment. Thus finding charging stations may be a daunting task for EV drivers. Though the issue can be dealt with by providing online directories, web-based charging station locators, global positioning system (GPS) assisted gears, however, these methods are not adequate, because they do not help EV drivers automatically discover and select the most qualified EV charging station. Thus it will be frustrating for a driver to reach a certain location, or multiple locations, and not find a service because of gird inadequacy, long waiting queue, neighbourhood safety, or the value he was looking for. This paper introduces a method and apparatus based on which the smart client installed in EV would automatically discover, shortlist, and select, or to recommend the EV driver, the most qualified EV charging station.
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来源期刊
International Journal of Electric and Hybrid Vehicles
International Journal of Electric and Hybrid Vehicles TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.60
自引率
14.30%
发文量
27
期刊介绍: IJEHV provides a high quality, fully refereed international forum in the field of electric and hybrid automotive systems, including in-vehicle electricity production such as hydrogen fuel cells, to describe innovative solutions for the technical challenges enabling these new propulsion technologies.
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