基于用户大数据的电子助力制动器可靠性工况特征研究

doi:10.19562/j.chinasae.qcgc.2021.09.015

Abstract

Abstract:

Based on the real users' operation data of different regions and vehicle models， the distributions of braking time， braking distance and braking strength are analyzed by extracting the segments of braking conditions. According to bench test data， the relationship between braking strength and operating load is established to achieve the transformation of user operating data to operating load， analyze the damage and damage contribution of typical components under the user's load， and further compare user working conditions with standard working conditions in terms of frequency and damage. The results show that the existing reliability test specifications are hard to effectively reproduce the actual braking level of users， so it is strongly suggested to formulate more rational reliability assessment specifications of electronic brake booster as soon as possible.

Key words: user big data, electronic brake booster, reliability, working condition characteristics

Lihui Zhao,Chi Zhou,Kanfeng Xu,Zhen Wang,Songlin Zheng. Research on Reliability Condition Characteristics of Electronic Brake Booster Based on User Big Data[J].Automotive Engineering, 2021, 43(9): 1375-1382.

Figures/Tables 21

运行状态	加速度 $a$ /（m·s^-2）
加速	$a$ >0.2
匀速	-0.2≤ $a$ ≤0.2
减速	$a$ <-0.2

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Research on Reliability Condition Characteristics of Electronic Brake Booster Based on User Big Data

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