基于卡尔曼滤波算法的间接胎压监测方法

为了提高现有间接胎压监测系统的性能,把数字信号处理方法与间接胎压监测系统相结合,提出了车辆纵向和侧向两个动力学模型,利用卡尔曼滤波方法得出了轮胎相对半径与胎压之间的关系.在该模型下(除模糊状态以外),可以监测到任何一种胎压降低的情况,并且不受车速和转向的影响,改善了现有间接胎压监测系统的准确性和可靠性.该方法只需要ABS系统自带的轮速传感器和一个陀螺仪,硬件开支小,软件实现简单,有很强的工程实用价值.

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.