Experimental Study on Development of Smart Algorithm Based on Tire Deflection to Detect the Drops in Tire Pressure

Yıl 2017, Cilt: 6 Sayı: 2, 104 - 115, 18.08.2017

Hakan Köylü

https://doi.org/10.18245/ijaet.438134

Cited By: 2

Öz

This study aims to experimentally investigate accordance between tire pressure and vertical deflection of tire in order to use in TPMS (Tire Pressure Monitoring System). For this aim, the resonance frequency of vertical deflection of tire is determined by using test results. For this, the road tests have been conducted on flat and dry road for measuring the tire deflection. These tests are run at constant vehicle speeds 30 and 100km/h for tire pressures 15, 20, 25, 30, 35psi. Therefore, the vertical deflection changes have been measured under same road conditions with different vehicle speeds. The frequency responses of the measured vertical deflections are obtained by using (SRMS) root mean square of sampled vertical deflection signals. The resonance frequency of the vertical deflection is taken from the frequency responses. The results show that the accordance between tire pressure and vertical deflection of tire can be achieved irrespective of the changes in vehicle speed. Consequently, the algorithm to detect the drops in tire pressure based on tire deflection is developed by using the time and frequency domain results.

Anahtar Kelimeler

Tire pressure, tire deflection, resonance frequency, vehicle speed, algorithm

Kaynakça

• Alegonza R B, Bocado M A L, Marvin A L L 2008 Direct Tire Pressure Monitoring System using Pressure and Temperature Sensor, BSc Report, Mapua Institute of Technology.
• Dyukov A 2016 Test Vehicle Speed Error as a Function of Tire Pressure, Journal of Traffic and
• Transportation Engineering 4 102-106.
• Fileming B 2009 Tire Pressure-Monitoring Systems Rollout, IEEE Vehicular Technology Magazine. September.
• Fuqiang Z, Shaohong W, Yintao W, Zhichao X 2015 Indirect tire pressure monitoring system
• based on tire vertical stiffness, IEEE 12th International Conference on Electronic Measurement & Instruments, 100-104.
• Genta G 1997 Motor Vehicle Dynamics: Modeling and Simulation. World Scientific Publishing, USA.
• Li S, Zong C, Chen G, He L 2013 A Control Algorithm for Electric Power Steering of Tire Blowout Vehicle to Reduce the Impact Torque on Steering Wheel, SAE Technical Paper, 2013-01 1239.
• Liu H, Deng W, Zong C Wu J 2014 Development of Active Control Strategy for Flat Tire Vehicles, SAE Technical Paper, 2014-01-859.
• Marton Z, Fodor D, Enisz K, Nagy K 2014 Frequency Analysis Based Tire Pressure Monitoring, IEEE International Electic Vehicle Control (IEVC) December 17-19.
• Mustafic I, Klisura F, Jasarevic S 2014 Introductıon and application of tire pressure monitoring system, 3rd Conference Maintenance Zenica June 11 – 13.
• op het Veld I B A 2007 Enhancing the MF-Swift Tyre Model for Inflation Pressure Changes. Master’s Thesis, Eindhoven University of Technology, Eindhoven, Netherlands.
• Pacejka H.B 2006 Tyre and Vehicle Dynamics-Second Edition. Butterworth Heinemann, United
• Kingdom.
• Persson N, Ahlqvist S, Forssell U, Gustafsson F 2001 Low Tire Pressure Warning System Using Sensor Fusion, Society of Automotive Engineers Technical Paper 2001; 2001-01-3337.
• Pohl A, Ostermayer G, Reindl L, Seifert F 1997 Monitoring the Tire Pressure at Cars Using Passive SAW Sensors, Proceedings of IEEE Ultrasonics Symposium Toronto 471 - 474.
• Sankaranarayanan V and Güvenç L 2007 Tire Pressure Monitoring, IEEE Control Systems Magazine, December.
• Schwall M, Garg A, Shiverick J, Conley M 2016 Trends in Tire Pressure: An Analysis of Time-Series TPMS Data, SAE Int. J. Passeng. Cars - Mech. Syst. 9(2).
• Suender R and Prokop G 2015 Comparative Analysis of Tire Evaluation Methods for an Indirect Tire Pressure Monitoring System (iTPMS), SAE Technical Paper 2015-01-1519.
• Van Der Jagt P, Pacejka H.B, Savkoor A.R 1989 Influence of Tyre and Suspension Dynamics on
• the Braking Performance of an Anti-lock System on Uneven Roads, IMechE, C 382/047, 453-460.
• Wong J Y 1993 Theory of Ground Vehicles - Second Edition. WILEY, New York.
• Zhao J, Su J, Zhu B, Shan J 2016 An Indirect TPMS Algorithm Based on Tire Resonance Frequency Estimated by AR Model, SAE Int. J. Passeng. Cars - Mech. Syst. 9(1), 2016-01-0459.