The Research about the Method of Indirect tire Pressure Monitoring Based on Kalman Filter Algorithms

The simplest indirect systems only monitors the difference in wheel speed, but to improve the performance, model based signal processing can be used. The basic idea behind this thesis, is to indirectly estimate the wheel radius via secondary existing sensors. Two dynamical vehicle models, in which the relative wheel radius is included as model parameters, are formed. With these models any combination of pressure loss in the tires except diffusion, can be detected. The systems improve the reliability of the simplest indirect systems. Since the systems only needs a gyro and four wheel speed sensors which are a basic component of normal anti-lock brake system , it could be easily realized in low cost and can be used in project.