Literature review and fundamental approaches for vehicle and tire state estimation*. Issue 11 (2nd November 2019)

• Record Type: Journal Article
• Authors: Singh, Kanwar Bharat; Arat, Mustafa Ali; Taheri, Saied
• Is Part Of: Vehicle system dynamics. Volume 57:Issue 11(2019)
• Page Start: 1643
• Page End: 1665
• Publication Date: 2019-11-02
• Subjects: State estimation -- vehicle dynamics -- sliding mode observer -- Kalman filter -- recursive least squares; Motor vehicles -- Dynamics -- Periodicals; Electronic journals; 629.231
• DOI: 10.1080/00423114.2018.1544373
• Languages: English
• ISSNs: 0042-3114

Abstract

ABSTRACT: Most modern day automotive chassis control systems employ a feedback control structure. Therefore, real-time estimates of the vehicle dynamic states and tire-road contact parameters are invaluable for enhancing the performance of vehicle control systems, such as anti-lock brake system (ABS) and electronic stability program (ESP). Today's production vehicles are equipped with onboard sensors (e.g. a 3-axis accelerometer, 3-axis gyroscope, steering wheel angle sensor, and wheel speed sensors), which when used in conjunction with certain model-based or kinematics-based observers can be used to identify relevant tire and vehicle states for optimal control of comfort, stability and handling. Vehicle state estimation is becoming ever more relevant with the increased sophistication of chassis control systems. This paper presents a comprehensive overview of the state-of-the-art in the field of vehicle and tire state estimation. It is expected to serve as a resource for researchers interested in developing vehicle state estimation algorithms for usage in advanced vehicle control and safety systems.