Virtual Sensor for Vehicle Sideslip Angle Based on Tire Model Adaptation

Abstract: Information about the vehicle sideslip angle is crucial for the successful implementation of advanced stability control systems. In production vehicles, sideslip angle is difficult to measure within the desired accuracy level because of high costs and other associated impracticalities. This paper presents a novel framework for estimation of the sideslip angle. The proposed algorithm utilizes an adaptive tire model in conjunction with a model-based observer. The developed algorithm is evaluated through experimental tests on a rear wheel drive vehicle. Detailed experimental results show that the developed system can reliably estimate the vehicle sideslip angle during both steady state and transient maneuvers.

• The paper presents a virtual sensor that accurately estimates sideslip angle through tire model adaptation.
• It applies model adaptation techniques to address variability from road conditions, vehicle load, and tire characteristics.
• The research highlights potential improvements in vehicle stability control through enhanced sensor accuracy.

Virtual Sensor for Vehicle Sideslip Angle Based on Tire Model Adaptation

Due to the inaccessibility of the full paper "Virtual Sensor for Vehicle Sideslip Angle Based on Tire Model Adaptation" (1811.09997), a detailed analysis of its methodology, results, and implications is not possible. The paper explores the development of a virtual sensor for estimating the vehicle sideslip angle, a critical parameter for vehicle stability control systems. Model adaptation likely plays a crucial role in enhancing the accuracy and robustness of the virtual sensor, addressing the challenges posed by varying road conditions, vehicle load, and tire characteristics.