基于用户数据的整车结构耐久“试验场-用户”关联特性分析

doi:10.19562/j.chinasae.qcgc.2025.08.019

Abstract

Abstract:

Current structural durability specification of the proving ground fail to fully capture the complex load characteristics under the actual user operating conditions， which results in a discrepancy between the proving ground conditions and the actual user use. In this study the characteristics of user structural durability are analyzed based on user big data. Furthermore， the characteristics of the 'proving ground-user' correlation are studied. Firstly， the user data is subjected to preprocessing， and a multivariate time-sequence adaptive segmentation method is employed to construct user-operating segments. The characteristic parameters of operating segments are constructed from three perspectives： time domain， frequency domain and damage. Subsequently， linear and nonlinear methods are employed for feature parameter dimensionality reduction. K-Means clustering is employed to categorize the data into six typical operating conditions. For each typical operating condition， operating characteristics， damage contributions， and inter-city variations in user data are analyzed. Finally， a similarity analysis is conducted to map the relationship between the proving ground reinforced pavement and typical operating conditions. Differences in damage targets， power spectral densities， and extrapolated rain flow are analyzed， and the reasons for the differences are explored through the joint ‘damage level-speed’ distribution. The findings provide a foundation for selecting structural durability test conditions， defining life cycle objectives， and improving proving ground specifications under user conditions.

Key words: user-operated big data, structural durability, condition characterization, proving ground and user association

Lihui Zhao,Xiaoyu Xu,Shuo Weng,Dongjian Liu,Dongdong Zhang. Research on Vehicle Structural Durability Based on User Data and the Correlation Between “Proving Ground and User”[J].Automotive Engineering, 2025, 47(8): 1634-1645.

Figures/Tables 32

序号	轮位标识符	特征参数	参数意义	单位
1	LF_ RF_ LR_ RR_	$A m a x$	轮心垂向加速度最大值	$g$
2		$A m a x - r a n g e$	轮心垂向加速度最大幅值	$g$
3		$A R M S$	轮心垂向加速度均方根	$g$
4		$A d a m a g e$	轮心垂向加速度损伤
5		$A P S D 1$	频谱分析0～3 Hz累计能量	$g 2 / H z$
6		$A P S D 2$	频谱分析3～6 Hz累计能量	$g 2 / H z$
7		$A P S D 3$	频谱分析6～9 Hz累计能量	$g 2 / H z$
8		$A P S D 4$	频谱分析9～15 Hz累计能量	$g 2 / H z$
9		$A P S D 5$	频谱分析15～25 Hz累计能量	$g 2 / H z$
10		$V m e a n$	车速的均值	$m / s$
11		$A m e a n$	车身质心加速度的均值	$m / s 2$

References 18

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强化路面名称	长度/m	车速要求/（km·h^-1）
比利时路	550	35
混凝土补丁路	200	40
拱形路	120	45
扭曲路	90	15
沟渠路	100	40
波纹路	300	35

指标	PCA	t-SNE	最优方法
压力值	0.18	0.21	PCA
低维可信度	0.74	0.92	t-SNE
分类准确性	82%	94%	t-SNE
KL散度	0.41	0.16	t-SNE

工况	t-SNE维度1	t-SNE维度2	t-SNE维度3
1	-11.34	9.21	-11.62
2	-23.55	-5.06	1.92
3	-4.46	9.78	15.89
4	21.20	3.04	5.89
5	14.81	0.33	-9.93
6	0.04	-10.91	0.30

用户工况	对应试验场强化路面
1	转向
2	扭曲路
3	拱形路、长波路
4	比利时路、混凝土补丁
5	鹅卵石路
6	正弦波路、森林路

Research on Vehicle Structural Durability Based on User Data and the Correlation Between “Proving Ground and User”

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References 18

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