Tire-Mounted Sensor Detachment Detection Under Varying Vehicle Dynamics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to accurately detect the detachment of Tire-Mounted Sensors (TMS) from tires, which can impact tire durability and data integrity, particularly in vehicles with varying dynamics and high speeds.
Innovation Solution
A method and system utilizing radial acceleration and footprint length analysis, combined with machine learning, to determine TMS detachment by analyzing sensor data for sign changes and standard deviation, providing real-time alerts for proper attachment status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional acceleration sensor detachment detection methods are used, then the system can detect detachment in static or low-speed conditions, but the detection accuracy deteriorates under varying vehicle dynamics and high-speed conditions
Solution Approach 1:
The system dynamically adapts detection thresholds and parameters based on real-time vehicle operating conditions including speed, acceleration, and road type. The evaluation unit adjusts detection sensitivity according to the vehicle's current state, enabling reliable detachment detection across static, low-speed, and high-speed conditions without false positives from normal vehicle dynamics
Solution Approach 2:
The system changes detection parameters such as threshold values, time windows, and analysis frequencies based on vehicle operating conditions. During high-speed operation or aggressive maneuvers, the system adjusts parameters to account for increased vibrations and accelerations, maintaining detection accuracy across varying vehicle dynamics
2Measurement precision
If simple acceleration threshold-based detection is used, then the device complexity remains low, but the measurement precision of detachment detection deteriorates
Solution Approach 1:
The system transitions from single-dimension acceleration threshold checking to multi-dimensional analysis incorporating radial acceleration, tangential acceleration, footprint length, and their temporal patterns. This dimensional expansion enables precise detachment detection by analyzing multiple signal characteristics simultaneously, distinguishing true detachment from normal vehicle dynamics through pattern recognition across multiple parameters
3Measurement precision
If continuous monitoring with high sampling frequency is implemented, then the detachment detection accuracy improves, but the energy consumption increases
Solution Approach 1:
The system implements periodic monitoring with variable sampling intervals based on vehicle operating conditions. During normal operation, sampling occurs at lower frequencies to conserve energy. When detachment is suspected or during critical driving phases, the system increases sampling frequency temporarily, balancing detection accuracy with energy consumption constraints
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
Accurately detects TMS detachment with high accuracy and reliability across varying vehicle conditions, reducing false positives and negatives, and enabling proactive maintenance to prevent tire and sensor damage.
Implementation Method 1
measuring the centrifugal acceleration having an effect on a tire module by means of an acceleration sensor arranged in the tire module
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
The disclosure concerns a method for detecting detachment of a sensor mounted on an inner face or layer of a tire of a vehicle, comprising acquiring data related to at least one information item provided by said sensor, and detecting a detachment of the sensor based on the acquired data.