Tire Self-Positioning With Reverse Rotation Compensation
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Solution Overview
Problem
Existing tire condition detection systems fail to accurately position tires during active learning when the vehicle moves in the opposite direction, leading to reduced success rates.
Innovation Solution
A tire self-positioning method that involves data acquisition, conversion, compensation for reverse rotation, and statistical analysis of wireless and wired signals to determine tire positions, using ABS teeth number and coded values to compensate for reverse movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If active learning is performed without reverse rotation compensation, then the positioning process is simple, but the positioning fails when the vehicle moves in the opposite direction
Solution Approach 1:
The system performs preliminary detection of rotation direction before completing the positioning process. By detecting whether the tire rotates in the opposite direction and pre-calculating the compensation value, the system ensures accurate positioning even when reverse movement occurs during active learning, without requiring complex post-processing corrections
Solution Approach 2:
The system continuously monitors the rotation direction of the tire during active learning and provides feedback on whether reverse rotation has occurred. This feedback mechanism allows the system to adjust the positioning calculation in real-time by adding the appropriate compensation value, ensuring accurate tire position identification regardless of vehicle movement direction
2Measurement precision
If reverse rotation compensation is calculated and added, then positioning accuracy improves, but calculation complexity increases
Solution Approach 1:
The system applies compensation selectively based on the specific condition of reverse rotation. Instead of using a universally complex calculation method, the system only activates the compensation calculation when reverse rotation is detected, and applies the compensation value locally to the affected positioning data, maintaining simplicity where possible while ensuring accuracy where needed
Data Source
AI summary
A tire self-positioning system and a positioning method therefor. The tire self-positioning method includes the steps of: S1, data acquisition; S2, data conversion; S3, data compensation; S4, data statistics; S5, determining, according to a statistical result, a specific position of a tire corresponding to the first signal. The tire self-positioning system and positioning method therefor are used to solve the problem of a tire experiencing reverse movement, and increase the success rate of active learning.