Title: Review on vehicle sideslip angle estimation

Authors: Quanwei Wang; Xiaobin Fan; Zipeng Huang; Shuwen He; Mingxin Chen

Addresses: School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, 454000, China ' School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, 454000, China; Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology, Liuzhou, 545006, China ' School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, 454000, China ' School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, 454000, China ' School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, 454000, China

Abstract: The control of vehicle stability is significantly influenced by the pivotal role of the sideslip angle, and it is a major parameter in intelligent vehicle systems. The immediate and precise determination of sideslip angle forms the foundation for stability systems. Exact calculation of sideslip angle enables the real-time assessment, allowing for timely intervention to ensure safe driving, mainly from three aspects: physical model, estimation algorithm and adaptive parameter estimation method. Comparing the estimated sideslip angle of body dynamics model, tyre model and steering system model, which could be concluded that prevailing approach for sideslip angle estimation is dynamic estimation method. An analysis is conducted to examine the variations among different estimation algorithms used for the calculation of the sideslip angle; also, the advantages and disadvantages of various observers are expounded. Finally, we present an effective implementation of adaptive parameter estimation to enhance the accuracy of sideslip angle.

Keywords: sideslip angle; dynamic estimation; kinematic estimation; tyre model; Kalman filter; observer technology.

DOI: 10.1504/IJVD.2024.137310

International Journal of Vehicle Design, 2024 Vol.94 No.3/4, pp.274 - 320

Received: 16 Mar 2023
Accepted: 22 Sep 2023
Published online: 11 Mar 2024 *

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