摘要
充电桩建设不健全导致的电动汽车不能及时充电现象,已经严重阻碍电动汽车行业发展,为此设计基于云存储数据的充电桩控制系统。该系统由手机APP客户端、云服务器、分布式充电桩设备等共同组成。云服务器利用分层架构设计,合理配置云存储数据,设计大数据分析模块挖掘用户充电数据,为构建功能全面、数据并发量庞大的服务器平台奠定基础。APP客户端利用云服务器中存储的海量云存储数据,实现充电过程中的个性化功能。硬件设计以ARM处理器为控制核心,实现充电过程中各项数据实时控制。系统测试结果表明:系统电压精度及有功电能测量精度均可控制在国家规定范围内;系统各项功能均可正常运行,用户体验良好,可广泛推广。
As the unsound construction of charging piles leads to the phenomenon that electric vehicles cannot be charged in time,which has seriously hindered the development of electric vehicles industry,a charging pile control system based on cloud storage data is designed.The system is composed of the mobile APP client,cloud server,and distributed charging pile device.The layered architecture design is used in the cloud server to reasonable allocate the cloud storage data,and the big data analysis module is designed to mine user charging data,laying a foundation for building a server platform with comprehensive functions and huge data concurrency.On the APP client,the massive cloud storage data stored in the cloud server is used to realize the personalized function during the charging process.In the hardware design,the ARM processor is used as the control core to achieve real⁃time control of various data during the charging process.The system testing results show that both the system voltage accuracy and active energy measurement accuracy can be controlled within the national regulations,various functions of the system can run normally,and user experience is good.It can be widely promoted.
作者
崔彦
马斌齐
卓昱伯
CUI Yan;MA Binqi;ZHUO Yubo(Xi’an University of Architecture and Technology,Xi’an 710055,China;The Northwest Branch Company of China Construction Eighth Engineering Division Corp.,Ltd.,Xi’an 710075,China)
出处
《现代电子技术》
2021年第2期33-37,共5页
Modern Electronics Technique
基金
国家自然科学基金面上项目(51178386)
住房和城乡建设部技术项目[ZLAQ(2015)]。
关键词
云存储数据
充电桩控制
数据挖掘
充电个性化
系统设计
系统测试
cloud storage data
charging pile control
data mining
charging individuation
system design
system testing
