Applied Sciences (Mar 2021)

A Novel Longitudinal Speed Estimator for Four-Wheel Slip in Snowy Conditions

  • Dongmin Zhang,
  • Qiang Song,
  • Guanfeng Wang,
  • Chonghao Liu

DOI
https://doi.org/10.3390/app11062809
Journal volume & issue
Vol. 11, no. 6
p. 2809

Abstract

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This article proposes a novel longitudinal vehicle speed estimator for snowy roads in extreme conditions (four-wheel slip) based on low-cost wheel speed encoders and a longitudinal acceleration sensor. The tire rotation factor, η, is introduced to reduce the deviation between the rotation tire radius and the manufacturer’s marked tire radius. The Local Vehicle Speed Estimator is defined to eliminate longitudinal vehicle speed estimation error. It improves the tire slip accuracy of four-wheel slip, even with a high slip rate. The final vehicle speed is estimated using two fuzzy control strategies that use vehicle speed estimates from speed encoders and a longitudinal acceleration sensor. Experimental and simulation results confirm the algorithm’s validity for estimating longitudinal vehicle speed for four-wheel slip in snowy road conditions.

Keywords