Tire Wear Prediction Using Position Change History Correction
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Solution Overview
Problem
Existing methods struggle to accurately predict tire wear state when tires on vehicles are rotated or replaced with different tires, especially in heavy load vehicles like trucks and buses.
Innovation Solution
A tire wear prediction system that utilizes sensors to monitor vehicle parameters, a database to store tire information, and correction units to adjust predictions based on tire rotation and replacement, enabling accurate wear state estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If tire rotation is performed to prevent uneven wear, then tire uniformity is improved, but wear prediction accuracy deteriorates
Solution Approach 1:
The system segments the tire management by assigning unique identification information to each tire and tracking each tire's wear independently. When tires are rotated, the system maintains separate wear histories for each physical tire rather than treating all tires at a position uniformly, enabling accurate wear prediction despite rotation.
Solution Approach 2:
The system creates and maintains a digital copy of each tire's identity and wear characteristics through identification information (such as RFID tags or barcodes). This digital twin allows the system to track the original tire's wear pattern even when physically relocated to a different wheel position, preserving prediction accuracy.
2Adaptability or versatility
If tires are replaced with different tires (new, used, different brand/type) during rotation, then tire availability and flexibility are improved, but wear prediction accuracy deteriorates
Solution Approach 1:
The system implements a universal tire management framework that handles multiple tire types (new, used, different brands) through a common identification and tracking mechanism. The wear prediction unit can adapt to different tire characteristics by receiving identification information and selecting appropriate prediction models or parameters, maintaining accuracy across diverse tire replacements.
Solution Approach 2:
The system dynamically adjusts wear prediction parameters based on the identified tire's characteristics. When a tire is replaced or rotated, the system modifies prediction parameters according to the specific tire's properties (age, brand, type, initial wear pattern), enabling accurate predictions despite changes in tire inventory.
3Measurement precision
If wear prediction is performed from a new tire at predetermined position, then initial prediction accuracy is improved, but prediction reliability after rotation deteriorates
Solution Approach 1:
The system implements continuous feedback by monitoring actual tire wear through sensors and comparing it with predicted wear. When tires are rotated or replaced, the feedback loop resets and recalibrates predictions based on the new tire's identification information and initial conditions, maintaining reliability over time despite position changes.
Data Source
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AI summary
A tire wear prediction system (100) is provided with a wear prediction unit (110) for predicting a wear state of a tire mounted at a predetermined wheel position of a vehicle based on the traveling state of the vehicle, a change history acquisition unit (120) for acquiring a change history including the rotation of the wheel position on which the tire is mounted or a content of replacement with another tire, and a wear state correction unit (140) for correcting a reference of the wear state of the tire predicted by the wear prediction unit (110) based on the change history. The wear prediction unit (110) predicts the wear state of the tire based on the reference of the wear state corrected by the wear state correction unit (140).