电动汽车充电路线优化系统的研制  

Study of Electric Vehicle Intelligent Charging Route Optimization System

作　　者：曹以龙 帅禄玮 涂少博 

机构地区：[1]上海电力学院电子与信息工程学院,上海200090

出　　处：《上海电力学院学报》2017年第6期563-567,596,共6页Journal of Shanghai University of Electric Power

基　　金：上海市科技创新行动计划地方院校能力建设项目(13160500900)

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.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.

关 键 词：电动汽车 北斗定位 大数据采集 优化路径 

分 类 号：U469.72[机械工程—车辆工程] TM910.6[交通运输工程—载运工具运用工程]