Vehicle Tire Leak Detection Using Temperature-Compensated Pressure
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Solution Overview
Problem
Existing tire pressure monitoring systems struggle to detect slow leaks in vehicle tires, which are difficult to identify due to gradual air loss and can be masked by temperature changes, leading to delayed detection and potential tire failure.
Innovation Solution
A system using multiple sensors on vehicle tires to collect pressure and temperature data, employing a natural leak model and damage comparison model to detect leaks by resampling data, calculating normalized pressures, and comparing tire rates to identify abnormal pressure loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional tire pressure monitoring systems are used, then tire pressure can be monitored, but slow leaks cannot be detected early due to temperature interference and gradual pressure loss
Solution Approach 1:
The system transforms pressure measurements into temperature-compensated pressure values using the ideal gas law, converting the affected parameter (pressure) into a corrected parameter that eliminates temperature interference, enabling accurate leak detection despite temperature fluctuations
Solution Approach 2:
The system establishes a baseline pressure loss rate from historical data before actual leaks occur, allowing comparison with current pressure loss rates to detect anomalies early, rather than waiting for pressure to drop below threshold levels
2Loss of information
If tire pressure monitoring is performed continuously, then pressure changes can be tracked, but the system cannot distinguish between temperature-induced pressure changes and actual leaks
Solution Approach 1:
The system changes the measurement parameter from raw pressure to temperature-compensated pressure using the relationship P1/T1 = P2/T2, which mathematically eliminates temperature as a variable, allowing pure leak detection
Solution Approach 2:
The system introduces temperature as an intermediary parameter that mediates between raw pressure measurements and leak detection, using temperature data to correct pressure readings and distinguish thermal effects from actual pressure loss
3Loss of time
If pressure thresholds are set for leak detection, then obvious leaks can be detected, but slow gradual leaks are missed until pressure becomes critically low
Solution Approach 1:
The system performs preliminary establishment of normal pressure loss rates from historical data, creating a reference baseline that enables early detection of abnormal pressure loss patterns before pressure drops to critical levels
Solution Approach 2:
The system uses feedback from historical pressure data to dynamically adjust detection thresholds, comparing current pressure loss rates against learned normal patterns to identify slow leaks that deviate from expected behavior
4Productivity
If manual tire inspection is performed, then tire condition can be checked, but slow leaks are difficult to detect and require frequent checking
Solution Approach 1:
The system enables self-service monitoring where the tire pressure system automatically detects and reports leaks without requiring operator intervention, continuously measuring and analyzing pressure data to identify problems before they become critical
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Early detection of slow leaks allows for timely tire repair, reducing the risk of tire failure and providing accurate leak warnings through a combination of natural leak and cumulative damage models.
Implementation Method 1
A sensor that obtains pressure and temperature data from a tire
Implementation Method 2
The processor calculates a pressure predicted for the first tire at a particular time by using the normalized pressure at a previous time, the time difference between the particular time and the previous time, and the temperature measurement of the first sensor at the particular time
Data Source
AI summary
A system for detecting leaks of tires of a vehicle is provided that includes sensors that measure pressure and temperature of the tires. The system has a processor that obtains the data from the sensors and detects a leak of one of the tires by using a natural leak model and/or a damage comparison model. The natural leak model uses temperature measurements of the tires to detect leakage of the tire which can be a slow leak of the tire. The damage comparison model detects leakage of the tire by comparing it to other tires on the vehicle.