Detection Method of Intelligent Tire Wear and Load Based on Wavelet Analysis
In order to obtain the state information of tires in running state,a wear and load detection method for intelligent tires based on wavelet transform was proposed,which was used to detect tire load and wear state in real time.In order to study the vibration of the tread when the tire was running,the acceleration waveform was obtained through a three-axis accelerometer attached to the center of the inner wall of the tire,and then the Morse wavelet was adopted to analyze the tread vibration at the grounding point of the tire at multiple scales to extract features.Input the features into the BP neural network to obtain the detection result.The results show that the proposed algorithm can more accurately monitor the tire wear and load state;in more than 90％of the cases,the absolute error of wear can be achieved within 0.3 mm,and the absolute error of load is within 12 kg.The method can provide key tire information for the vehicle and assist safe driving,so it has a wide range of application prospects.
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维普
