ABSTRACT
ABSTRACT: This paper presents robust parameter identification techniques for in-vehicle estimation of tire model parameters using state observation techniques. These concepts calculate actual vehicle states, such as yaw rate and sideslip angle, and moreover identify unknown model parameters. A well-defined two-stage identification scheme allows the design of tailored and lean concepts. The resulting simplicity and low computational complexity allows implementation on standard rapid-prototyping hardware and online identification of the model parameters. In contrast to other procedures requiring extensive measurement equipment to be installed in the vehicle the proposed mechanisms only use sensors commonly available in modern passenger cars. Evaluation of these concepts is based on numerical simulations and experimental data obtained from a dedicated test vehicle.
