期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：7
页码：135-144
DOI：10.14257/ijseia.2016.10.7.13
出版社：SERSC
摘要：In this research study, one of the most crucial automotive engineering problems is intended to be solved. The necessity of tire pressure monitoring system is beyond doubt. Such systems are now provided relying on expensive sensors. In this study an indirect tire pressure monitoring system is proposed, utilizing identification techniques, which will reduce the cost of monitoring considerably in comparison to direct types, while keeping it just as reliable as the conventional types. A comprehensive study on system's parameters was undertaken by MATLAB-IDENTIFICATION toolbox, in order to find a proper method to estimate tire pressure indirectly. The best method was chosen among five well- known estimation methods, including Space State, AR, ARMA, NLARX and Wiener- Hammerstein. It was shown, the best method to estimate the pressure of a properly inflated tire is NLARX with a 94.51% precision while the best estimation for an under- inflated tire pressure is ARMA with a 92.3% accuracy.
