4.7 Article

Novel Tire Force Estimation Strategy for Real-Time Implementation on Vehicle Applications

期刊

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 64, 期 6, 页码 2231-2241

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2014.2345695

关键词

Extended Kalman filter (EKF); identification; observer; tire force estimation; unscented Kalman filter (UKF)

资金

  1. Automotive Partnership Canada
  2. Ontario Research Fund
  3. General Motors

向作者/读者索取更多资源

This paper proposes a novel unified structure to estimate tire forces. The proposed structure uses estimation modules to calculate/estimate tire forces by means of nonlinear observers. The novelty in the proposed approach lies in the independence of the estimates from the vehicle tire model, thereby making the structure robust against variations in vehicle mass, tire parameters due to tire wear, and, most importantly, road surface conditions. In the proposed structure, we have a dedicated module to estimate the longitudinal tire forces and another to calculate the vertical tire forces. Subsequently, these forces are fed into a third module that utilizes a nonlinear observer to estimate lateral tire forces. The proposed structure is validated through experimental studies.

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