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面向召回监管的新能源汽车缺陷线索分析方法研究

白铁 田晶晶 孙宁 姜肇财 郭鸽 费凡

标准科学Issue(12):126-132,7.
标准科学Issue(12):126-132,7.DOI:10.3969/j.issn.1674-5698.2023.12.021

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

白铁 1田晶晶 1孙宁 1姜肇财 1郭鸽 1费凡1

作者信息

  • 1. 中国标准化研究院
  • 折叠

摘要

Abstract

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

Key words

electric vehicles/defect clues/standardized processing/correlation analysis

引用本文复制引用

白铁,田晶晶,孙宁,姜肇财,郭鸽,费凡..面向召回监管的新能源汽车缺陷线索分析方法研究[J].标准科学,2023,(12):126-132,7.

基金项目

本文受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. (项目编号:282023Y-10409)

标准科学

1674-5698

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