Research on evaluation method of in-tire sensor placement position for wheeled tractor intelligent tires

Abstract

Intelligent tire technology provides a novel method for improving the intelligence of wheeled tractors. To address the challenge of optimally placing uncertain sensors within the intelligent tires, a combined evaluation method of random weighting CRITIC-TOPSIS is developed. Firstly, a finite element model of a tractor radial tire was constructed, and static loading tests suggest that the maximum error between experimental and simulated data is smaller than 7%. Secondly, 24 sensor measurement points were designed to output of strain, displacement, and acceleration signals. The sample entropy and peak values of the signals were taken as evaluation indicators. Finally, the random weighted CRITIC-TOPSIS method was employed to calculate the scores. The findings indicate that the tire sidewall is the optimal location for placing both the strain and acceleration sensors, while the displacement sensor should be placed at the leading edge of the root of the pattern block near the tire’s central plane.