4.7 Article

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

Journal

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 64, Issue 6, Pages 2231-2241

Publisher

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

Keywords

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

Funding

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

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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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