Abstract: In response to the current demand of the commercial vehicle industry for tire load forecasting, a method for estimating the vertical load of 235/45ZR18 tires has been developed. Under the premise of ensuring the reliability of finite element simulation, this method obtains the acceleration waveform information on the inner side of the tire through tire finite element simulation technology, and uses this acceleration waveform information to estimate the length of the tire's ground contact footprint. Through research, it is found that the relationship between the length of the grounding footprint and the load is roughly a quadratic function. According to this rule, the empirical formula of grounding mark length and vertical load is summarized, which realizes the estimation of the vertical load of this type of tire, and can maintain a certain accuracy in the commonly used load, speed, and tire pressure range. This prediction algorithm can be applied to tire force collection to improve the safety of automotive active safety systems.

Key words: Intelligent tire; Acceleration sensor; Tire load; Finite element simulation

摘要： 针对当前商用车行业对轮胎载荷的预测需求，开发了一款 235/45ZR18 轮胎垂直载荷的 估算方法。该方法在保证有限元仿真可靠性的前提下，通过轮胎有限元仿真技术获取得到轮 胎内侧的加速度波形信息，并利用此加速度波形信息估算轮胎的接地印迹长度。通过总结仿 真结果数据发现，接地印迹长度与载荷大致成二次函数关系。根据此规律总结出接地印记长 度与垂直载荷的经验公式，实现了该型号轮胎垂直载荷的估算，并能在常用的载荷、速度、 胎压范围内保持一定的精度。此预测算法可以应用于轮胎力采集，提高汽车主动安全系统的 安全性。

关键词: 智能轮胎；加速度传感器；轮胎载荷；有限元仿真