A novel longitudinal speed estimator for four-wheel slip in snowy conditions

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number2809
JournalApplied Sciences (Switzerland)
Volume11
Issue number6
DOIs
Publication statusPublished - 2 Mar 2021

Keywords

  • Four-wheel drive vehicle speed estimation
  • Fuzzy control
  • Maximum wheel slip
  • Snowy road
  • Tire rotation factor

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