Tire Lift-Off Prediction via Sensor Data
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Solution Overview
Problem
Existing tire monitoring systems fail to effectively predict and prevent tire lift-off propensity due to hydroplaning, which is exacerbated by reduced contact patch area caused by moisture, necessitating a robust system to advise operators to reduce vehicle speed.
Innovation Solution
A system comprising tire-affixed sensors to measure specific parameters like pressure, load, and wear, combined with vehicle-mounted sensors for speed data, utilizing a lift-off propensity estimator and database correlations to predict tire lift-off and provide warnings or control adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If tire pressure is reduced to increase contact patch area, then road holding capacity is improved, but vehicle handling precision deteriorates
Solution Approach 1:
The system dynamically adjusts tire pressure based on real-time operating conditions (speed, load, temperature, road surface) to optimize the balance between contact patch area and handling precision. The controller continuously monitors parameters and adjusts pressure to maintain optimal road holding without sacrificing handling precision.
Solution Approach 2:
The system changes physical parameters (tire pressure, temperature, load distribution) to optimize performance. By adjusting tire pressure within specific ranges based on operating conditions, the system achieves improved road holding capacity while maintaining adequate handling precision through controlled parameter variation.
2Reliability
If vehicle speed is reduced to prevent hydroplaning, then tire-road contact is improved, but vehicle productivity deteriorates
Solution Approach 1:
The system performs preliminary assessment of hydroplaning risk by monitoring tire pressure, temperature, load, and road conditions before lift-off occurs. By predicting dangerous conditions in advance and taking preventive action (adjusting pressure, alerting driver), the system maintains tire-road contact without requiring speed reduction.
Solution Approach 2:
The system continuously monitors tire parameters and provides feedback to the controller, which adjusts tire pressure and provides warnings to the driver. This closed-loop feedback enables real-time optimization of tire-road contact while allowing the vehicle to maintain higher speeds through active management rather than passive speed reduction.
3Measurement precision
If multiple sensors are added to monitor tire parameters, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensors that measure multiple parameters simultaneously (e.g., pressure sensors that also detect temperature, or load cells that provide both weight and position information). This reduces the total number of separate sensors needed while maintaining high measurement precision across all monitored parameters.
Solution Approach 2:
The system combines multiple sensing functions into integrated sensor assemblies mounted on the tire, consolidating pressure, temperature, and load measurement capabilities into a unified structure. This merging approach improves measurement precision through coordinated data collection while reducing overall system complexity by eliminating separate sensor mounting and wiring for each parameter.
Data Source
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AI summary
A lift-off propensity predictive system and method is disclosed. The system comprises: a vehicle (10) supported by at least one vehicle tire (12) mounted to a hub, the vehicle tire having a tire cavity (20) and a ground-engaging tread (16), and the tire (12) having a plurality of tire-specific measureable parameters; a tire-affixed tire-identification device (24) for providing a tire-specific identification; a plurality of tire-affixed sensors mounted to the tire (12) for operably measuring the tire-specific parameters and generating tire-specific parameter information; at least one vehicle-affixed sensor mounted to the vehicle for operably measuring vehicle speed (31); a lift-off propensity estimator (42) for operably generating a lift-off propensity for the one vehicle tire (12) from a database containing experimentally-derived, tire-ID specific, lift-off propensities correlated to measured tire-specific parameter information and measured vehicle speed.