Vehicle Tire ID Weighting for Fast Host-Tire Recognition
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Solution Overview
Problem
Existing tire condition monitoring systems face challenges in quickly and efficiently identifying vehicle tires without the need for professional assistance, particularly during the process of autonomous tire position learning.
Innovation Solution
A host-vehicle tire identification method that utilizes a weighting calculation based on historical and temporary identification numbers, using different weight increments to distinguish between tires belonging to the host-vehicle and non-host vehicles, and an antenna-based method for comprehensive tire identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If active learning is used for tire position learning, then installation time is saved and autonomous learning is achieved, but the system may learn identification numbers from other vehicles instead of only host-vehicle tires
Solution Approach 1:
The system pre-assigns weight increments to different types of identification numbers before the learning process begins. Historical identification numbers are assigned a first weight increment while temporary identification numbers are assigned a second weight increment. This preliminary weighting structure enables the system to prioritize and quickly identify host-vehicle tires during autonomous learning, resolving the contradiction by preparing the discrimination mechanism in advance.
Solution Approach 2:
The system changes the parameter of weight increment based on the type of identification number encountered. By dynamically adjusting the weight accumulation rate (first weight increment for historical IDs, second weight increment for temporary IDs), the system can differentiate between host-vehicle and other-vehicle tires during autonomous learning, ensuring accurate identification while maintaining fast learning speed.
2Speed
If weighting calculation with different weight increments is used, then host-vehicle tires can be quickly distinguished from other vehicles, but the calculation complexity increases
Solution Approach 1:
The system segments the identification process by dividing identification numbers into two categories: historical identification numbers and temporary identification numbers. Each category is assigned a different weight increment, allowing the system to process and differentiate tire IDs through simple categorical judgment and weighted accumulation, achieving fast identification without excessive calculation complexity.
Data Source
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AI summary
The present invention relates to a host-vehicle tire identification method and an identification apparatus therefor, and an antenna-based host-vehicle tire identification method. The host-vehicle tire identification method comprises: S1, identification of an identification number; S2, judgement of the identification number; S3, weighting calculation; and S4, identification of a tire of a host vehicle. Disclosed in the present invention are the host-vehicle tire identification method and the identification apparatus therefor, and the antenna-based host-vehicle tire identification method, which can quickly determine whether a tire corresponding to an identification number is a tire belonging to a host vehicle.