Tire Tread Depth Measurement Using Geometric Radius and Central Optimization
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Solution Overview
Problem
Existing methods for determining tire tread depth during vehicle operation are inefficient and require significant effort to establish correction variables for various tire types, leading to inaccuracies due to the complexity of modeling rotation speed, vehicle velocity, and operating parameters.
Innovation Solution
A method that ascertains tire type and mileage, transmitting adaptation data to a central processing device to receive optimization data for accurate tread depth calculation using a model parameterized by tire type, rotation speed, vehicle velocity, and operating parameters, with electronic wheel units aiding in data collection and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction variables are ascertained beforehand for each tire type, then measurement precision of tread depth is improved, but device complexity and effort increase significantly
Solution Approach 1:
The patent uses geometric wheel radius and geometric inside radius as reference copies that represent the ideal tire dimensions. These geometric radii serve as standardized models that can be applied across different tire types, eliminating the need to create complex correction variables for each specific tire type while maintaining measurement accuracy.
Solution Approach 2:
The patent changes the approach from using dynamic radii (which vary with operating conditions) to using geometric radii (which are fixed and independent of operation). This parameter change simplifies the measurement model by removing the need to account for variations in rotation speed, vehicle velocity, and operating parameters for each tire type.
2Ease of operation
If dynamic radii are used for tread depth determination, then ease of operation is improved, but measurement precision deteriorates due to operational variations
Solution Approach 1:
The patent determines the geometric wheel radius and geometric inside radius beforehand, independent of tire operation. These pre-determined geometric radii are then used as fixed references for tread depth calculation, eliminating the need to continuously adjust for dynamic variations during tire operation.
Solution Approach 2:
Instead of calculating tread depth by measuring dynamic radii during operation and correcting for variations, the patent inverts the approach by using pre-determined geometric radii as the basis for calculation. This inversion allows the system to achieve both real-time measurement capability and high precision by relying on stable geometric references rather than variable dynamic measurements.
Data Source
AI summary
Thread depth ascertainment for vehicle tires involves a plurality of vehicles transmitting respective adaptation data to a central data processor. The data processing device forming optimization data on the basis thereof and transmitting the optimization data to the vehicles. The adaptation data are formed by the vehicles based on tire type, mileage and rotation speed of the tire and a velocity of the vehicle and at least one operating parameter of the tire, and the optimization data are used by each of the vehicles for ascertaining the tread depth of a relevant tire based on model of the ascertained tire type, wherein the model supplies the tread depth based on the rotation speed of the tire, the velocity of the vehicle and at least one operating parameter of the tire using at least one model parameter, which is determined based on the optimization data received from the central data processor.