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上海电力大学学报:2017,33(6):563-567,596
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电动汽车充电路线优化系统的研制
(上海电力学院 电子与信息工程学院)
Study of Electric Vehicle Intelligent Charging Route Optimization System
(School of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China)
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投稿时间:2016-03-16    
中文摘要: 在电动汽车充电站预约网站的基础上,采用用户实际行驶轨迹与网站智能提供方案对比的方式对路线导航加以改进,着重于客户实际行驶路线数据的采集与发送,利用AJAX技术与北斗卫星定位系统及嵌入式微处理器,分别从网站前台与基于HTTP传输协议的后台,采集到网站提供的原始方案与车辆实际行动轨迹,将获得的大数据进行对比与展示,分析出客户的路线习惯,为客户提供更好的充电服务.
Abstract:A program based on the electric vehicle charging station booking website is offered,comparing the user's actual movement track and website intelligence providing scheme to improve route navigation,focusing on the customer actual route data acquisition and sending.It uses AJAX technology and BEIDOU satellite positioning system and embedded microcontroller processor respectively from the front end and the back end based on HTTP,to collect original plan offered by the site and track vehicles action,display a big data,and analyze the customer's route habits,and provide customers with better charge service.
文章编号:20176010     中图分类号:    文献标志码:
基金项目:上海市科技创新行动计划地方院校能力建设项目(13160500900).
引用文本:
曹以龙,帅禄玮,涂少博.电动汽车充电路线优化系统的研制[J].上海电力大学学报,2017,33(6):563-567,596.
CAO Yilong,SHUAI Luwei,TU Shaobo.Study of Electric Vehicle Intelligent Charging Route Optimization System[J].Journal of Shanghai University of Electric Power,2017,33(6):563-567,596.