Tire Impact Damage Detection Using Normalized Wheel Speed
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Solution Overview
Problem
Current tire damage detection technologies are not efficient or reliable enough to promptly identify potential damages to tires caused by impacts, which can lead to further damage or safety issues if not addressed promptly.
Innovation Solution
A tire damage detection method that includes an acquisition device connected to a vehicle bus, a processing device with a predefined tire damage model, and a notification system, which computes normalized wheel speeds to detect potential tire damage based on predefined thresholds and time lengths determined through tests with various obstacles and speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If acceleration sensors and frequency analysis are used to detect tire damage, then damage detection capability is improved, but device complexity and measurement reliability remain insufficient
Solution Approach 1:
The patent replaces complex mechanical vibration analysis systems with a simplified method based on wheel speed measurements. Instead of using acceleration sensors and frequency spectrum analysis, the system uses a wheel speed sensor to measure rotational speed variations, which are then processed through normalization and threshold comparison to detect tire damage reliably.
Solution Approach 2:
The patent transforms the detection approach by changing the measured parameter from acceleration/vibration frequency to wheel rotational speed. The normalization process (dividing wheel speed by vehicle speed) creates a dimensionless parameter that is insensitive to vehicle speed variations, enabling reliable damage detection across different operating conditions without complex calibration.
2Productivity
If normalized wheel speed computation and predefined models are used, then detection efficiency is improved, but measurement precision requirements increase
Solution Approach 1:
The system continuously monitors wheel speed and compares the normalized value against predefined thresholds in real-time. This feedback mechanism enables immediate detection of tire damage events, allowing for prompt driver notification and intervention, thereby improving detection efficiency and preventing further damage.
Solution Approach 2:
The patent pre-establishes damage detection thresholds and normalization parameters based on extensive testing with damaged and undamaged tires. This preliminary calibration creates a ready-to-use detection model that requires only simple real-time speed measurements and threshold comparisons, reducing computational complexity while maintaining high detection efficiency.
3Loss of time
If real-time detection is implemented, then response time is improved, but system complexity and energy consumption increase
Solution Approach 1:
The patent extracts only the essential information needed for damage detection from the wheel speed signal - specifically, the rotational speed value and its comparison against thresholds. By eliminating complex signal processing, frequency analysis, and data storage requirements, the system achieves real-time detection with minimal energy consumption, suitable for integration into vehicle existing sensor networks.
Data Source
AI summary
A tire damage detection method includes a tire damage detection stage comprising: outputting quantities indicative of speeds of a vehicle and a corresponding wheel from an acquisition device to a processing device; computing, based on the received quantities, a normalized wheel speed indicative of a ratio of the wheel speed to the vehicle speed; and detecting a potential damage to a tire based on a predefined tire damage model and on the normalized wheel speed. A preliminary stage comprises: performing tests involving test tire impacts against/on different obstacles at different vehicle speeds; measuring/acquiring test-related wheel and vehicle speeds during the performed tests; computing test-related normalized wheel speeds based on the test-related wheel and vehicle speeds; and determining the predefined tire damage model to be used in the tire damage detection stage based on the test-related normalized wheel speeds and the test-related vehicle speeds that correspond to the test tire impacts.


