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基于Hadoop的电动车动力电池大数据存储与分析 被引量:3

Storage and analysis for big data of electric vehicle power battery based on Hadoop
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摘要 在电动汽车示范应用和推广过程中,其动力电池的状态一直是政府部门和消费者关注的焦点之一。针对上海市部分电动汽车实际使用过程中的大量数据,首先通过建立Hadoop分布式集群进行数据存储。在此基础上,运用大数据处理工具,分析充电和放电两个方面数据,重点探究了温度对于动力电池荷电量、能量消耗的影响。 In the process of electric vehicle demonstration application and promotion, the state of its power battery has been one of the focus of government departments and consumers concerned. In this paper, according to the large amounts of data from actual use of electric vehicles in shanghai, the Hadoop distributed cluster for data storage was established. On this basis, big data processing tools were used to analyze data from the charge and discharge aspects. The effect of temperature on the power battery capacity and the battery power consumption was focused on.
作者 陈亮 严晓 黄碧雄 CHEN Liang;YAN Xiao;HUANG Bi-xiong(College of Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处 《电源技术》 CAS 北大核心 2019年第3期460-463,共4页 Chinese Journal of Power Sources
基金 上海市科委车用动力电池的测试 控制和评估项目(15110501100) 新能源汽车与动力电池项目(2016xt02)
关键词 HADOOP 电动汽车 动力电池 大数据 Hadoop electric vehicle power battery big data
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