{"title":"Simulation of Road Roughness Based on Using IFFT Method","authors":"C. Jiang, Lin Cheng, S. Fengchun, Chang Hongjie","doi":"10.1109/WCSE.2012.46","DOIUrl":null,"url":null,"abstract":"The model of road roughness is extremely important to the analysis of vehicle ride comfort and handling stability. In terms of hybrid vehicles, it is fateful in particular. IFFT(Inverse Fast Fourier Transform) theory was described in this paper. Simulation programs were compiled with Matlab software, and the results were compared with the same class of standard power spectral density. The paper had fitted the power spectral density of the same set of data with different window functions, compared the difference of the outcomes, and discussed why the difference occured. At the same time, results of IFFT and trigonometric series method were also contrasted. Overall, IFFT is of robustness, rigorous mathematical derivation\", \"ideal accuracy and easy to use. It can provide theoretical basis for road safety, indoor bench, optimal control strategy and dynamic load calculations.","PeriodicalId":244586,"journal":{"name":"2012 Third World Congress on Software Engineering","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2012.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The model of road roughness is extremely important to the analysis of vehicle ride comfort and handling stability. In terms of hybrid vehicles, it is fateful in particular. IFFT(Inverse Fast Fourier Transform) theory was described in this paper. Simulation programs were compiled with Matlab software, and the results were compared with the same class of standard power spectral density. The paper had fitted the power spectral density of the same set of data with different window functions, compared the difference of the outcomes, and discussed why the difference occured. At the same time, results of IFFT and trigonometric series method were also contrasted. Overall, IFFT is of robustness, rigorous mathematical derivation", "ideal accuracy and easy to use. It can provide theoretical basis for road safety, indoor bench, optimal control strategy and dynamic load calculations.