汽车道路滑行阻力测量滤波算法研究
Research on Filtering Algorithms for Automotive Road Load Coefficient Measurement
王斌 1华彬 1邱冉冉1
作者信息
- 1. 国家汽车质量检验检测中心(襄阳),襄阳 441004
- 折叠
摘要
底盘测功机作为一种重要的室内测试设备,准确的道路载荷阻力系数是其精确工作的先决条件.目前经常使用VBOX测量道路载荷阻力系数.VBOX测速依赖于精确的卫星定位来实现,日常使用中卫星信号易受环境干扰,导致测量精度下降,影响试验结果的准确性.本文通过研究小波变换、最小二乘法滤波、滑动平均值滤波三种滤波算法对试验数据处理效果和稳定性的影响,得出:(1)三种滤波算法对于滑行试验数据稳定性都有着明显的提升;(2)对于单独的滑行工况,最小二乘法滤波表现最为优异;(3)对于复杂工况,小波滤波和滑动平均滤波都可进行较好的滤除噪声信号,但是小波滤波算法不易受极值影响.
Abstract
Chassis dynamometer,as an important indoor testing equipment,requires accurate road load coefficient as a prerequisite for precise operation.Currently,VBOX is commonly used to measure the road load coefficient.VBOX speed measurement relies on accurate satellite positioning,but the satellite signal is easily affected by environmental interference in daily use.leading to a decrease in measurement accuracy and affecting the accuracy of test results.This article studies the impact of three filtering algorithms,wavelet transform,least squares method filtering,and moving average filtering,on the accuracy of test results.The following conclusions are drawn:(1)The three filtering algorithms significantly improve the stability of the coastdown test data.(2)For individual coastdown conditions,the least squares method filtering performs the best.(3)For combined conditions,both wavelet filtering and moving average filtering can effectively filter out noise signals,but the wavelet filtering algorithm is less affected by extreme values,resulting in more stable filtered data.
关键词
汽车道路滑行阻力/小波变换/最小二乘法滤波/滑动平均值滤波Key words
Automotive Road Load/Wavelet Transform/Least Squares Method Filtering/Moving Average Filtering引用本文复制引用
出版年
2024
NETL
NSTL
万方数据