新能源汽车运行故障数据分析与自动追溯模型研究

Research on Data Analysis and Automatic Traceability Model of New Energy Vehicle Operation Failure

借助新能源汽车报警大数据分析获得的报警时运行性能参数,实现报警类型自动追溯,为新能源汽车监管、安全隐患警告、报警运行性能参数反馈提供依据。以辽宁省新能源汽车监管平台的报警大数据为基础,进行报警类型自动追溯研究,采用“一对其余”多分类问题的拆分策略,借助转化函数,用python编程实现。通过分析研究,获得报警类型自动追溯模型,自动追溯准确度高达0.98。

From alarm big data analysis of new energy vehicles,automatic traceability of alarm types is realized by means of alarm performance parameters obtained.It provides the basis for new energy vehicle supervision,safety hazard warning,alarm operation performance parameter feedback.Based on the alarm big data of new energy vehicle supervision platform in Liaoning Province,automatic traceability of alarm types is studied,and the resolution strategy of“one to the other”multi-classification problem is adopted,with the help of transformation function,and implemented by Python programming.Through the analysis and research,the automatic traceability model of alarm type is obtained,and the accuracy of automatic traceability is up to 0.98.