An effective tyre to road friction estimation applied to heavy vehicles

Author:

Sharifzadeh Mojtaba1ORCID,Bruzelius Fredrik23,Jacobson Bengt3,Henderson Leon4ORCID,Timpone Francesco5

Affiliation:

1. Fondazione Bruno Kessler (FBK), Trento, Italy

2. Swedish National Road and Transport Research Institute, Gothenburg, Sweden

3. Department of Mechanics and Maritime Sciences, Chalmers University of Technology, Gothenburg, Sweden

4. Volvo Group Truck Technology, Goteborg, Sweden

5. Department. of Industrial Engineering, University of Naples Federico II, Naples, Italy

Abstract

Knowledge about the tyre to road friction is central to many vehicle functions as well as the overall performance of the vehicle. In this paper, a new real-time algorithm is presented for estimating the coefficient of friction using available on-board sensor information. A computationally efficient algorithm is presented, that reduces resources usage compared to previously published approaches. Issues connected to heavy vehicles and friction estimation is addressed, such as wind up of hub assembly and vehicle speed sensing. The performance of the algorithm is illustrated on data sets acquired from the test track recordings in winter conditions.

Funder

VINNOVA

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Particle swarm calibration for UKF-based vehicle speed estimation with unknown time-varying tire parameters;2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2023-05-22

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