汽车工程 ›› 2024, Vol. 46 ›› Issue (8): 1520-1528.doi: 10.19562/j.chinasae.qcgc.2024.08.018

• • 上一篇    

基于路况识别及素材谱的汽车用户路线疲劳损伤获取研究

苏亮,吴道俊(),陈泉泉   

  1. 厦门金龙联合汽车工业有限公司,福建省安全与节能技术企业重点实验室,厦门 361023
  • 收稿日期:2024-02-26 修回日期:2024-04-10 出版日期:2024-08-25 发布日期:2024-08-23
  • 通讯作者: 吴道俊 E-mail:wudaojun217@126.com
  • 基金资助:
    国家重点研发计划“新能源汽车”重点专项项目(2021YFB2500704)

Study on Calculation of Customer Vehicle Fatigue Damage Based on Road Condition Identification and Element Spectrum

Liang Su,Daojun Wu(),Quanquan Chen   

  1. Xiamen King Long United Automotive Industry Co. ,Ltd. ,Key Laboratory of Bus Safety and Power-saving Technology Enterprises of Fujian Province,Xiamen  361023
  • Received:2024-02-26 Revised:2024-04-10 Online:2024-08-25 Published:2024-08-23
  • Contact: Daojun Wu E-mail:wudaojun217@126.com

摘要:

为识别和获取用户路线的汽车结构疲劳损伤,提出了“素材谱”和“探测车”的概念,进而提出了一种基于路况识别、划分并与素材谱相结合的用户路线的汽车结构疲劳损伤的便捷获取方法。首先,构建了IRI(国际平整度指数)识别路面等级的数学模型,建立了通过探测车的简配传感器方案识别用户路面等级的方法,并研究了车速与IRI的关联性和独立性。接着,提出了基于IRI和车速二维变量对用户路线的探测车道路工况细化分级及里程分布确定的方法。然后,结合全通道样车在本地采集的素材谱及单位里程损伤,最终高效地计算、获得用户路线及区域的汽车结构疲劳损伤。从而创建和形成了“素材谱+探测车”识别用户路线总损伤的解决方案。验证结果良好,表明所研究技术方法具有良好的可操作性、精确性和有效性。

关键词: 损伤, 用户, 路面, IRI, 素材谱, 探测车

Abstract:

In order to identify and obtain the automotive structure fatigue damage of user route, the concepts of ‘element spectrum’ and ‘survey vehicle’ are proposed, and a convenient method for obtaining fatigue damage of automotive structure of user route based on road condition identification, classification and element spectrum is proposed. Firstly, the mathematical model of IRI (International Roughness Index) is established to identify the road grade and the method of identifying the user's road surface grade through the simple sensor scheme is established. And the correlation and independence between vehicle speed and IRI are studied. Subsequently, the method for determining the road classification and mileage distribution of the survey vehicle for user route based on IRI and vehicle speed is proposed. Then, combined with the element spectrum and unit mileage damage collected locally by the full-channel vehicle, the fatigue damage of the vehicle structure on the user's route is finally calculated efficiently. Thereby, the solution of ‘element spectrum + survey vehicle’ to identify the total damage of user route is created. The verification results are good, indicating that the technology and method studied is operable, exact and effective.

Key words: damage, user, road surface, IRI, element spectrum, survey vehicle