一种基于传感器的非充气轮胎三向力估计系统和方法
By deploying sensors on non-pneumatic tires and establishing mapping relationships and neural network models, the complexity of triaxial force estimation for non-pneumatic tires is solved, achieving efficient and accurate triaxial force estimation, which is applicable to intelligent research on non-pneumatic tires.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 费曼科技(合肥)有限公司
- Filing Date
- 2023-10-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to effectively estimate the triaxial forces of non-pneumatic tires, especially given their structural differences from pneumatic tires. This results in high computational complexity, and non-pneumatic tires are not widely used in the automotive market, leading to insufficient research on their intelligent applications.
By arranging multiple strain sensors, position sensors, and optical sensors on a non-pneumatic tire, and combining them with a processing module, the triaxial force of the tire is estimated using sensor signals, and a mapping relationship and neural network model are established for force estimation.
It reduces the computational complexity of the three-dimensional force of non-pneumatic tires, improves the accuracy of estimation and the system's feedback capability, simplifies experimental testing and data acquisition, and is applicable to different rolling and stationary states.
Smart Images
Figure CN117490903B_ABST