Accelerometer Based Method for Tire Load and Slip Angle Estimation

Kanwar Bharat Singh,Saied Taheri

doi:10.3390/vibration2020011

Abstract

Tire mounted sensors are emerging as a promising technology, capable of providing information about important tire states. This paper presents a survey of the state-of-the-art in the field of smart tire technology, with a special focus on the different signal processing techniques proposed by researchers to estimate the tire load and slip angle using tire mounted accelerometers. Next, details about the research activities undertaken as part of this study to develop a smart tire are presented. Finally, novel algorithms for estimating the tire load and slip angle are presented. Experimental results demonstrate the effectiveness of the proposed algorithms.

Highlights

The application of sensor technology in tires has been extensively studied over the last decade by many researchers [1,2,3,4,5,6]
This paper provides a review of relevant works about the different signal processing techniques proposed by researchers to extract the tire load and slip angle information from tire mounted accelerometers
The tire slip angle is estimated by extracting the peak lateral deflection and the slope of the lateral deflection curve from the lateral acceleration signal

Summary

Introduction

The application of sensor technology in tires has been extensively studied over the last decade by many researchers [1,2,3,4,5,6]. The stimulus for the research and application of sensor technology in tires was the Bridgestone/Firestone recall of 14.4 million tires in 2000 [7]. A tire mounted sensor will fulfill the basis TPMS functionalities, i.e., measure cavity air pressure and temperature, and presents opportunities to sense key attributes related to the tire contact patch. This would be achieved through the inclusion of an additional sensing element (e.g., an accelerometer) and advanced digital signal processing (DSP) algorithms. The smart tire is expected to have capabilities to monitor in real-time the tire forces, road surface conditions, tire slip conditions, temperature, pressure and the tire tread depth (Figure 1). Details about research activities undertaken as part of this study to develop a smart tire. Novel algorithms for estimating the tire load and slip angle

Literature Review

Development of a Smart Tire System

Peak Deflection Sensitivity

Conclusions