Tire Pressure Estimation Using Resonance Peak Shape Factors
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Solution Overview
Problem
Indirect tire pressure monitoring systems face challenges in accurately detecting under-inflation across all four tires due to high sensitivity to tire type, vehicle speed, and road surface, and are prone to false alarms and missed detections from noise and interference, especially when using peak frequency monitoring methods.
Innovation Solution
The system calculates shape factors from the wheel speed signal's resonance peak directly in the time domain, using methods like discrete Fourier transformation, parametric models, and AR models, which are less sensitive to noise and interference, and combines these shape factors to determine tire pressure, reducing computational intensity and memory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If peak frequency monitoring methods are used to detect tire pressure changes, then the system can detect under-inflated tires, but the system becomes highly sensitive to tire type, vehicle speed, and road surface, causing false alarms and missed detections
Solution Approach 1:
The patent extracts the resonance peak characteristics from the vibration spectrum and uses only the peak frequency value for pressure detection, rather than analyzing the entire spectrum. This extraction approach reduces sensitivity to tire type, vehicle speed, and road surface variations while maintaining detection accuracy
Solution Approach 2:
The patent introduces an intermediary processing step that monitors the resonance peak frequency as a mediator between the raw vibration spectrum and the final pressure determination. This intermediary approach filters out noise and interference from other rotating parts while preserving the pressure-related signal
2Reliability
If the whole spectrum is monitored by cross correlating with reference spectrum, then sensitivity to tire type, vehicle speed and road surface is decreased, but computational speed and memory requirements increase significantly
Solution Approach 1:
The patent extracts only the resonance peak frequency value from the vibration spectrum, rather than processing the entire spectrum. This extraction reduces computational load and memory requirements while maintaining the reliability benefits of spectrum-based analysis
Solution Approach 2:
The patent applies partial action by monitoring only the critical resonance peak frequency rather than the complete spectrum. This partial monitoring approach provides sufficient information for accurate pressure detection without the excessive computational burden of full spectrum analysis
3Measurement precision
If resonance peak frequency is continuously monitored and compared to reference value, then tire pressure changes can be detected, but the system becomes highly sensitive to tire type, vehicle speed and road surface conditions
Solution Approach 1:
The patent implements feedback by continuously monitoring the resonance peak frequency and comparing it to a reference value that can be adapted based on operating conditions. This feedback mechanism allows the system to maintain detection accuracy across different tire types, vehicle speeds, and road surfaces through adaptive reference value adjustment
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
This approach provides a robust and efficient method for detecting tire pressure changes, reducing false alarms and improving accuracy by using shape factors that are less sensitive to noise and interference, and can be adapted for different vehicle and tire conditions.
Implementation Method 1
the resonance peak in the vibration spectrum shifts in frequency after a pressure change
Implementation Method 2
the spring-damper dynamics in the tire changes with air pressure
Data Source
Figure 1~2
Figure 3a~3b
Figure 3c~3d
AI summary
The invention is directed to a system, a method and a computer program including program code for carrying out the method, when executed on a processing system, of estimating a tire pressure deviation of a vehicle's tire (2). The system comprises an input section (100) adapted to receive as an input signal a vehicle signal, a calculation section (200) adapted to calculate at least one shape factor of a resonance peak associated with the vehicle signal spectrum (2) on the basis of the input signal, and a determination section (300) adapted to derive, depending on said at least one shape factor, a tire pressure signal indicative of a tire pressure deviation within the vehicle's tire (2).