摘要
在选定蠕行客观指标以及进行整车试验后,依照原始加速度信号对指标进行所需信号分析,将信号分为3类,选取特定的加权平滑滤波、小波分解去噪方法,以及驾驶性数据预处理常用的数字滤波(IIR和FIR)分别进行数据处理,对比多次相同实验数据处理后的参数值波动情况,得出制动踏板释放响应延迟、加速跳跃指标使用加权平滑滤波,振喘与加速扰动指标采用小波分解去噪稳定性优于常用的数字滤波方式。
In this paper,after the determination of the indicators of creeping,the vehicle test has been carried out.Signal analysis on the indicators is performed according to the original acceleration signals.The signals are divided into three categories.Techniques in terms of specific weighted smoothing filters,wavelet decomposition,and denoising methods are selected for processing the collected signals for obtaining driving performance.Digital filtering(IIR and FIR)has been applied to process the data separately.By comparing the fluctuations of the parametric results based on same experimental configurations,it is concluded that the wavelet decomposition and denoising stability of the acceleration and acceleration indicators by utilizing the proposed weighted smoothing filtering is better than using the conventional digital filtering methods,in controlling of the driving parameters such as the delay in response of brake pedal,and the acceleration jump index.
作者
莫易敏
熊钊
王骏
胡恒
MO Yimin;XIONG Zhao;WANG Jun;HU Heng(School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China;SAIC-GM-Wuling Automobile Co.,Ltd,Liuzhou 545007,China)
关键词
蠕行
数字滤波
加权平滑滤波
小波去噪
creeping
digital filtering
weighted smoothing filtering
wavelet denoising
