基于用户大数据的电驱动系统可靠性工况特征研究*

doi:10.19562/j.chinasae.qcgc.2020.10.013

汽车工程 ›› 2020, Vol. 42 ›› Issue (10): 1386-1396.doi: 10.19562/j.chinasae.qcgc.2020.10.013

基于用户大数据的电驱动系统可靠性工况特征研究^*

赵礼辉^1,2,3, 王震¹, 冯金芝^1,2,3, 郑松林^1,2,3

1.上海理工大学机械工程学院,上海 200093;
2.机械工业汽车机械零部件强度与可靠性评价重点实验室,上海 200093;
3.上海市新能源汽车可靠性评价公共技术平台,上海 200093

收稿日期:2020-07-24 修回日期:2020-09-03 出版日期:2020-10-25 发布日期:2020-10-26
通讯作者: 赵礼辉,副教授,博士,E-mail:Pheigoe@126.com。
基金资助:
* 国家重点研发计划(2018YFB0104802)和国家自然科学基金(51705322)资助。

Research on Reliability Condition Characteristics of Electric Drive System Based on User Big Data

Zhao Lihui^1,2,3, Wang Zhen¹, Feng Jinzhi^1,2,3, Zheng Songlin^1,2,3

1. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093;
2. CMIF Key Laboratory for Strength and Reliability Evaluation of Automotive Structures, Shanghai 200093;
3. Public Technology Platform for Reliability Evaluation of New Energy Vehicles in Shanghai, Shanghai 200093

Received:2020-07-24 Revised:2020-09-03 Online:2020-10-25 Published:2020-10-26

摘要/Abstract

摘要： 对基于用户运行数据的电驱动系统可靠性工况特征的研究,是电驱动系统可靠性载荷谱的编制与评价验证的前提和基础。本文以不同地域与车型的实际用户运行数据为基础,对用户数据预处理并关联电驱动系统典型部件失效主导载荷构造工况特征参数;采用主成分分析法对多维度特征参数降维,运用聚类算法将电驱动系统运行片段整体划分为5种典型工况;对各工况运行时间、行驶里程和损伤贡献与损伤强度分布进行分析,并进一步将5大类典型工况细化为13种工况。研究成果为用户使用条件下电驱动系统可靠性试验工况的选取、全寿命周期可靠性目标的确定和载荷谱的编制提供了参考和依据。

关键词: 用户大数据, 电驱动系统, 可靠性, 工况特征

Abstract: The research on the characteristics of the reliability conditions of the electric drive system based on user operation data is the premise and foundation for the compilation and assessment of the reliability load spectrum of the electric drive system. In this paper, based on the actual users’ operation data of various regions and vehicle models, the user data is pre-processed and correlated with the typical component failure dominant load of the drive system to construct the characteristic parameters of the operation conditions. The principal component analysis method is used to reduce the dimension of the multi-dimensional characteristic parameter. The clustering algorithm is used to divide the operating fragment of the electric drive system into five typical working conditions, and analyzes the operating time, driving distance, damage contribution and damage intensity distribution of each working condition. Then the five typical working conditions are further divided into 13 types of working conditions. The research results provide a reference and basis for the selection of the reliability test conditions of the electric drive system under the users’ operation conditions and the determination of the total life cycle reliability target and the compilation of the load spectrum

Key words: user big data, electric drive system, reliability, working condition characteristics

赵礼辉, 王震, 冯金芝, 郑松林. 基于用户大数据的电驱动系统可靠性工况特征研究^*[J]. 汽车工程, 2020, 42(10): 1386-1396.

Zhao Lihui, Wang Zhen, Feng Jinzhi, Zheng Songlin. Research on Reliability Condition Characteristics of Electric Drive System Based on User Big Data[J]. Automotive Engineering, 2020, 42(10): 1386-1396.

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基于用户大数据的电驱动系统可靠性工况特征研究^*

Research on Reliability Condition Characteristics of Electric Drive System Based on User Big Data

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