中国机械工程 ›› 2014, Vol. 25 ›› Issue (15): 2112-2116.

• 机械基础工程 • 上一篇    下一篇

面向用户的汽车道路谱重构方法

刘永臣1,2;王国林1;孙丽2;邵长征1   

  1. 1.江苏大学,镇江,212013
    2.淮阴工学院,淮安,223003
  • 出版日期:2014-08-10 发布日期:2014-08-13
  • 基金资助:
    国家高技术研究发展计划(863计划)资助项目(2006AA110116-04);江苏省自然科学基金资助项目(BK2011405);江苏省高校自然科学基金资助项目(13KJB580001);江苏省“青蓝工程”项目;淮阴工学院基金资助面上项目(HGB1105)

Reconstruction Methods of Vehicle Road Spectrum Faced Users

Liu Yongchen1,2;Wang Guolin1;Sun Li2;Shao Changzheng1   

  1. 1.Jiangsu University,Zhenjiang,Jiangsu,212013
    2.Huaiyin Institute of Technology,Huai'an,Jiangsu,223003
  • Online:2014-08-10 Published:2014-08-13
  • Supported by:
    National High-tech R&D Program of China (863 Program) (No. 2006AA110116-04);Jiangsu Provincial Natural Science Foundation of China(No. BK2011405);Jiangsu Provincial Natural Science Foundation of Higher Education of China(No. 13KJB580001)

摘要:

为准确确定汽车道路耦合动力学的路面激励,提出一种基于实际用户使用的道路谱获取方法。使用多功能激光路面检测仪进行道路谱数据采集,根据汽车用户需求,选择实际使用的路面数据,通过对路面高程数据去除毛刺、平滑连接、多倍频程滤波等预处理,进行功率谱密度分析计算,获得用户典型道路谱的等级功率谱;应用开发的Caroad软件系统重构出用户需要的道路时域谱,并生成可用于ADAMS、VPG、Carsim动力学软件的仿真路面,通过相关系数分析了道路谱的重构精度。通过实例分析,获得了符合用户需要的典型虚拟三维路面谱,道路谱重构精度较高。

关键词: 用户需要, 实测道路谱, 功率谱密度分析, 虚拟重构

Abstract:

In order to determine the road motivation accurately for the vehicle and road coupling dynamics, a road spectrum acquisition method was presented based on the actual users. Roads spectrum data was acquired by using multifunction laser pavement detector according to the needs of car users, and the road elevation data was preprocessed by removing the singular value, the smooth connection, multi-octave filter. The user typical road spectrum and grade power spectrum were acquired by the power spectral density analysis and calculation. A road domain spectrum of user need was reconstructed by application Caroad software system, and simulation road spectrum were generated, which could be used in ADAMS, the VPG, of Carsim software and road spectrum reconstruction precision were analyzed with the correlation coefficient method. By instance analysis, three-dimensional road spectrum was obtained that meets user's requirements, and the road spectrum reconstruction precision is better.

Key words: user need, measured road spectrum, power spectral density analysis;virtual reconstruction

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