Adaptive Tire Inflation Control for Pressure Monitoring
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Solution Overview
Problem
Current tire inflation systems often overinflate tires due to frequent pressure checks, leading to increased wear and gas consumption, as they typically check pressure at fixed intervals regardless of vehicle conditions, such as speed, temperature, and travel distance.
Innovation Solution
A method for controlling tire inflation systems that dynamically adjusts the tire pressure sampling interval based on real-time data from a clock, vehicle speed, ambient temperature, and travel distance, allowing for more precise and less frequent checks, and categorizes pressure drops to determine appropriate action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tire pressure is checked frequently at fixed intervals, then tire pressure maintenance accuracy is improved, but tire overinflation occurs and gas consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of the tire pressure sampling interval based on real-time vehicle operating conditions. The control module modifies the sampling frequency according to parameters such as vehicle speed, temperature, and previous pressure readings, transitioning from fixed-interval checking to adaptive interval checking. This dynamic approach ensures accurate pressure maintenance while avoiding unnecessary inflation operations that consume gas.
Solution Approach 2:
The system changes the sampling interval parameter based on multiple factors including vehicle speed ranges, temperature conditions, and pressure drop patterns. By adjusting this key parameter dynamically, the system optimizes the balance between measurement accuracy and resource consumption, checking pressure more frequently when conditions warrant and less frequently when stable.
2Measurement precision
If tire pressure is checked frequently at fixed intervals, then tire pressure maintenance accuracy is improved, but seal wear increases
Solution Approach 1:
The control module dynamically adjusts the sampling interval to minimize unnecessary inflation cycles. By making the sampling frequency adaptive rather than fixed, the system reduces the number of times seals are actuated during normal operation, thereby extending seal life while maintaining adequate pressure monitoring accuracy through condition-based checking.
Solution Approach 2:
The system uses feedback from previous pressure readings, temperature data, and vehicle operating conditions to determine the optimal sampling interval. This feedback mechanism allows the system to maintain accurate pressure monitoring by checking when necessary while avoiding redundant checks that would increase seal wear from frequent inflation cycles.
3Loss of energy
If tire pressure sampling interval is extended, then gas consumption is reduced, but tire pressure monitoring accuracy deteriorates
Solution Approach 1:
The system dynamically changes the sampling interval parameter based on real-time conditions such as vehicle speed, temperature, and pressure trends. This allows extension of the sampling interval during stable conditions to reduce gas consumption while automatically shortening the interval when conditions indicate potential pressure changes, thereby maintaining monitoring accuracy.
Solution Approach 2:
The sampling interval transitions from a static fixed value to a dynamic adaptive value that responds to operating conditions. This dynamic adjustment enables the system to use longer intervals (reducing gas consumption) when appropriate while switching to shorter intervals when accuracy requirements increase, optimizing the trade-off between energy loss and measurement precision.
4Device complexity
If tire pressure is checked at fixed intervals regardless of conditions, then system complexity is reduced, but adaptability to different operating conditions deteriorates
Solution Approach 1:
The control module implements dynamic adaptation of the sampling interval based on multiple vehicle operating conditions including speed, temperature, and pressure trends. This dynamic capability allows the simple fixed-interval system to evolve into an adaptive system that responds to different operating scenarios, significantly improving versatility while adding only moderate complexity through software-based decision logic.
Solution Approach 2:
The system adapts the sampling interval parameter based on detected operating conditions such as vehicle speed ranges, temperature levels, and pressure drop patterns. This parameter adaptation enables the system to handle diverse operating scenarios effectively, transforming a simple fixed-interval controller into an versatile adaptive controller that optimizes monitoring based on actual vehicle conditions.
Data Source
AI summary
A tire inflation system and a method of control. A tire pressure sampling interval may be triggered based on a type of tire pressure drop, wheel speed, or temperature.