Damage identification method of intelligent non-pneumatic tire based on wavelet packet transform

To completely eliminate the issues associated with flat tires and deflation, non-pneumatic tires, as a novel safety tire technology, have garnered increasing attention. Nevertheless, owing to their distinctive structure and materials, non-pneumatic tires can exhibit vibration responses that differ from those of traditional pneumatic tires when subjected to external damage. Therefore, it is of great significance to explore an effective method for identifying damage in non-pneumatic tires to guarantee vehicle driving safety and the performance of non-pneumatic tires. In this paper, a damage identification method for intelligent non-pneumatic tires based on wavelet packet energy is presented. First, a three-dimensional nonlinear finite element model of a non-pneumatic tire under damage conditions was established, and dynamic simulation analysis was conducted. Second, vibration signal data of non-pneumatic tires in different damage states were collected, and wavelet packet energy characteristics were extracted. Finally, a damage sensitivity index based on the change rate of the total wavelet packet energy was established to achieve the monitoring and diagnosis of the health status of non-pneumatic tires. The research findings indicate that the proposed method can accurately identify the damage status of non-pneumatic tires without the necessity of complex parameter estimation and model verification procedures. The research results offer a new perspective for the health monitoring and damage recognition of non-pneumatic tires.