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FE-Based Tire Loading Estimation for Developing Strain-Based Intelligent Tire System

机译:基于Fe的Tire智能轮胎系统的轮胎装载估计

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The development of intelligent tire technology from concept to application covers multi-disciplinary fields. During the course of development, the computational method can play a significant role in understanding tire behavior, assisting in the design of the intelligent tire prototype system and in developing tire parameters estimation algorithm, etc. In this paper, a finite element tire model was adopted for developing a strain-based intelligent tire system. The finite element tire model was created considering the tire's composite structure and nonlinear properties of its constituent materials, and the FE model was also validated by physical tests. The FE model is used to study tire strain characteristics by steady state simulation for straight line rolling, traction and braking, as well as cornering. Tire loading conditions were estimated by feature extraction and data fitting. This process forms the fundamentals for identifying tire loadings from strain information at potential sensor locations. Finally, the pros and cons of applying finite element tire model in developing tire loading estimation algorithm are discussed. A perspective of the role of FE-based method in developing strain-based intelligent tire system is proposed.
机译:从概念到应用智能轮胎技术的发展涵盖了多学科领域。在开发过程中,计算方法可以在理解轮胎行为中发挥重要作用,帮助设计智能轮胎原型系统和开发轮胎参数估计算法等。本文采用了有限元轮胎模型用于开发基于应变的智能轮胎系统。考虑到轮胎的复合结构和其构成材料的非线性性能,产生有限元轮胎模型,并且通过物理测试验证了FE模型。 FE模型用于通过稳态模拟来研究轮胎应变特性,用于直线轧制,牵引力和制动,以及转弯。通过特征提取和数据配件估算轮胎装载条件。该过程形成了从潜在传感器位置的应变信息识别轮胎载荷的基本原理。最后,讨论了在开发轮胎加载估计算法中应用有限元轮胎模型的优缺点。提出了Fe基方法在开发应变智能轮胎系统中的作用的透视。

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