面向召回监管的新能源汽车缺陷线索分析方法研究  

Research on the Collection,Analysis and Prediction of Defect Clues for Electric Vehicles

作　　者：白铁 田晶晶 孙宁[1] 姜肇财 郭鸽 费凡 BAI Tie;TIAN Jing-jing;SUN Ning;JIANG Zhao-cai;GUO Ge;FEI Fan(China National Institute of Standardization)

机构地区：[1]中国标准化研究院

出　　处：《标准科学》2023年第12期126-132,共7页Standard Science

基　　金：中央基本科研业务费项目“我国新能源汽车质量安全市场表现评价体系研究与应用”(项目编号:282023Y-10409)支持。

摘　　要：汽车缺陷产品召回是国际上汽车产品质量安全监管的通行做法,也是汽车后市场监管的重要手段。准确、及时、有效地采集新能源汽车缺陷线索,然后系统地分析潜在的安全风险,可以准确、快速地识别新能源汽车潜在缺陷并实施召回,切实维护社会公共安全和消费者权益。本文主要分析了新能源汽车缺陷线索采集、缺陷线索标准化处理、缺陷线索关联分析以及平台系统构建与应用等,为新能源汽车缺陷线索处理、分析提供参考。The recall of defective automotive products is a common practice in the international supervision of automotive product quality and safety,and is also an important means of regulating the automotive aftermarket.Collecting clues about defects in electric vehicles accurately,timely,and effectively,and then systematically analyzing potential safety risks,can accurately and quickly identify potential defects in electric vehicles and implement recalls,effectively safeguarding public safety and consumer rights.This paper mainly analyzes the collection of defect clues for electric vehicles,standardized processing of defect clues,correlation analysis of defect clues,and platform system construction and application,providing reference for defect clue processing and analysis of electric vehicles.

关 键 词：新能源汽车 缺陷线索 标准化处理 关联分析 

分 类 号：F426.471[经济管理—产业经济] F203