摘要
新能源汽车具有能源利用效率高、环境污染小、适用清洁能源种类多、噪声低、方便保养、安全性高等优点,成为未来公共交通发展的重点方向。为了实现更高的信息化程度,为国内大型城市的新能源公交车辆的规模化应用提供便利,相关的信息化系统平台的建设非常重要。大数据技术为新能源公交车辆决策支持平台建立了数据分析与应用基础,该大数据决策支持平台能够存储、处理来自不同数据源的多维数据,利用联机分析处理实现多维度数据分析,运用数据挖掘技术利用新能源公交车辆信息,提供新能源车辆充电决策、充电场地建设决策、电池容量及衰退分析等功能。
The new energy buses have the advantages of high energy efficiency, low environmental pollution, rich varieties of clean energy, less noise, convenient maintenance, high security, and become the focus of future development of public transport. In order to achieve a higher degree of I informatization and the large-scale application of new energy buses in the domestic cities, facilitating the construction of the information system platform is very important. Big data technology can provide the foundation of data analysis and processing for a new energy vehicle decision support platform, which can store and process multidimensional data from different data source, use on-line analytical processing to finish multi dimension data analysis, use data mining technology to utilize new energy buses information, provide charging decision, charging facilities construction and function analysis of the battery capacity decline.
作者
陈兴强
唐可
陈岳川
周静
赵宇
杨振国
Chen Xingqiang Tang Ke Chen Yuechuan Zhou Jing Zhao Yu Yang Zhenguo(Shanghai traffic investment Mdt InfoTech Ltd, Shanghai 200000 School of Electronic and Information Engineering, Tongji University, Tongji 101102)
出处
《城市公共交通》
2017年第3期25-29,共5页
Urban Public Transport
关键词
新能源公交车辆
大数据技术
决策支持系统
车辆充电决策
电池容量分析
new energy buses, big data technology, decision support system, charging strategy, capacity of battery research
