International Journal of Software Engineering and its Applications, Volume (10), No (7), Year (2016-7) , Pages (135-144)

Title : ( Tire Inflation Pressure Estimation Using Identification Techniques )

Authors: Masoud Goharimanesh , Aminreza Riahi , Ali Lashkaripour , Ali Akbar Akbari ,

Citation: BibTeX | EndNote

n 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 cos t 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 estim ate 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.

Keywords

, Vehicle Dynamics, Tire Pressure Monitoring System, IDENT,
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1057923,
author = {Goharimanesh, Masoud and Riahi, Aminreza and Ali Lashkaripour and Akbari, Ali Akbar},
title = {Tire Inflation Pressure Estimation Using Identification Techniques},
journal = {International Journal of Software Engineering and its Applications},
year = {2016},
volume = {10},
number = {7},
month = {July},
issn = {1738-9984},
pages = {135--144},
numpages = {9},
keywords = {Vehicle Dynamics; Tire Pressure Monitoring System; IDENT; Estimation},
}

[Download]

%0 Journal Article
%T Tire Inflation Pressure Estimation Using Identification Techniques
%A Goharimanesh, Masoud
%A Riahi, Aminreza
%A Ali Lashkaripour
%A Akbari, Ali Akbar
%J International Journal of Software Engineering and its Applications
%@ 1738-9984
%D 2016

[Download]