Intelligent tire wear life estimation method and device based on BP neural network

Abstract

The invention provides an intelligent tire wear life estimation method and device based on a BP neural network. The method comprises the steps: obtaining a data set containing tire pressure, vehicle speed, load and tire radial 2-6 order rising modal frequency, and randomly dividing the data set into a training set, a verification set and a test set; establishing a BP neural network model, wherein the input of the network model is data in the data set, and the output of the network model is tire abrasion loss; training a BP neural network model based on the training set and a preset mean square error, determining the structure and network parameters of the BP neural network model, and performing verification by using a verification set; and inputting the data in the test set into the trained BP neural network model, and estimating the wear life of the tire to which the data belongs. Based on the BP neural network technology, a low-cost and high-efficiency prediction method is provided for automobile tire wear life prediction, and the problem of tire life prediction is solved.

Description

technical field [0001] The invention relates to the technical field of neural networks, in particular to a BP neural network-based intelligent tire wear life estimation method and device. Background technique [0002] With the continuous development of the automobile industry, automobiles have gradually become the main means of transportation for people to go out, and the safe driving of vehicles has gradually become the focus of people's attention. At present, more than half of the traffic accidents on expressways in our country are caused by tire wear, most of which are caused by tire blowouts, and the main causes of tire blowouts are severe tire surface wear and abnormal tire pressure. caused by such circumstances. As one of the main components of a car, tires affect the performance and safety of the vehicle during driving. The importance of vehicle tire detection is self-evident, and it can greatly improve the safety of vehicle driving. [0003] At present, the main de...

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Problems solved by technology

[0003] At present, the main detection method for the wear degree of automobile tires is manual detection, which mainly defines and measures the wear degree of the tread pattern by detecting the tread depth of the tire and the tread wear of the tire shoulder. Although the wear degree of automobile tires can be judged by experience, it is accurate The degree is not high, especially for novices

In addition, drivers often neglect to check the degree of tire wear in daily life, which can lead to accidents

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