电工技术学报  2022, Vol. 37 Issue (1): 48-57    DOI: 10.19595/j.cnki.1000-6753.tces.211221
“电动汽车充换电及车网互动技术”专题(特约主编: 赵晋斌 教授 李勇 教授) |
新能源汽车监测平台在行驶和充电场景中的应用与思考
毛玲1, 邓思文2, 赵登辉1, 唐立颖2, 孙欣杰2
1.上海电力大学电气工程学院 上海 200090;
2.上海市新能源汽车公共数据采集与监测研究中心 上海 201805
Application and Thinking of Big Data Technology of New Energy Vehicle Monitoring Platform in Driving and Charging Scenarios
Mao Ling1, Deng Siwen2, Zhao Denghui1, Tang Liying2, Sun Xinjie2
1. College of Electrical Engineering Shanghai University of Electric Power Shanghai 200090 China;
2. Shanghai Electric Vehicle Public Data Collecting Monitoring and Research Center Shanghai 201805 China
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摘要 因能源和气候问题,新能源汽车产业得到了广泛的关注。新能源汽车的信息化和智能化积累了大量数据,为合理地利用大数据技术进行信息处理和数据挖掘,推动新能源汽车与能源、交通、通信全面深度融合,建立了上海市新能源汽车公共数据采集与监测平台。首先介绍平台的架构、采集数据类型和平台标签体系,对新能源汽车的使用特征进行分析,着重关注了行驶行为和充电行为的时空分布情况,分别从充电设施、电网、安全等方面提供了新能源汽车监测平台的应用思路。最后,对新能源汽车监测平台现存问题和发展规划进行了总结和展望。
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关键词 特征分析新能源汽车监测平台应用大数据特征分析应用    
Abstract:Because of improvement of energy and climate issues, the development of the new energy automobile industry has received extensive attention. The trend of information and integration of new energy vehicles has accumulated a large amount of data. In order to rationally use big data technology for information processing and data mining, and promote the comprehensive and in-depth integration of new energy vehicles with energy, transportation, and communication, the Shanghai New Energy Vehicle Monitoring Platform has been established. First, the architecture, data collection types and platform label system of Shanghai Electric Vehicle Public Data Collecting, Monitoring and Research Center are introduced. It analyzed the characteristics of the use of new energy vehicles, which focuses on the temporal and spatial distribution of driving behavior and charging behavior. The application directions are provided from some aspects of charging facilities, power grid and security. Finally, the existing problems and development plans of the new energy vehicle monitoring platform are summarized and prospected.
Key wordsNew energy vehicle monitoring platform    big data    feature analysis    New energy vehicle monitoring platform    application    big data    feature analysis    application   
收稿日期: 2021-08-07     
PACS: G203  
  TM714  
通讯作者: 邓思文 女,1987年生,高级工程师、中级统计师、中级经济师,研究方向为新能源汽车用户行为分析、动力电池健康度分析。E-mail:dengsiwen@shevdc.org   
作者简介: 毛玲 女,1981年生,讲师,硕士生导师研究方向为电动汽车与电网的互动、锂离子电池建模及状态估计等。E-mail:maoling2290@shiep.edu.cn
引用本文:   
毛玲, 邓思文, 赵登辉, 唐立颖, 孙欣杰. 新能源汽车监测平台在行驶和充电场景中的应用与思考[J]. 电工技术学报, 2022, 37(1): 48-57. Mao Ling, Deng Siwen, Zhao Denghui, Tang Liying, Sun Xinjie. Application and Thinking of Big Data Technology of New Energy Vehicle Monitoring Platform in Driving and Charging Scenarios. Transactions of China Electrotechnical Society, 2022, 37(1): 48-57.
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