Dynamic Tire Firmness Control for Driving Mode Adaptation
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Solution Overview
Problem
Conventional tire pressure monitoring systems (TPMS) primarily focus on tire pressure values without considering tire firmness, which affects tire responsiveness and longevity, and do not dynamically adjust firmness based on user preferences or environmental conditions.
Innovation Solution
A system that wirelessly receives and processes tire information to determine initial and revised tire firmness values, adjusting them based on user-selected driving modes, environmental data, and vehicle states, and uploads tire history for analysis to optimize firmness values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional TPMS only monitors tire pressure values, then the system simplicity is maintained, but tire responsiveness and longevity are not optimized
Solution Approach 1:
The system dynamically adjusts tire firmness targets based on driving mode selections and environmental conditions rather than using fixed pressure values. The processing circuit receives mode information indicating different driving scenarios and dynamically determines appropriate firmness targets, allowing the system to adapt to varying operational requirements and optimize tire performance for each scenario.
Solution Approach 2:
The patent transitions from monitoring only pressure values to determining and monitoring tire firmness values, which is a different physical parameter that better correlates with tire performance and longevity. This parameter change enables the system to provide more meaningful feedback about tire condition and optimize tire operation.
2Adaptability or versatility
If tire firmness values are dynamically adjusted based on user preferences and environmental conditions, then tire performance is optimized, but data processing requirements increase
Solution Approach 1:
The system pre-determines appropriate tire firmness targets for different driving modes and stores them in the database. When a driving mode is selected, the system quickly retrieves the pre-calculated target rather than performing complex real-time calculations. This preliminary preparation reduces processing requirements during actual operation while maintaining adaptability across different scenarios.
Solution Approach 2:
The processing circuit automatically receives mode information, determines the appropriate tire firmness target, and transmits it to the display without requiring manual intervention or complex external processing. The system serves itself by autonomously adapting to different driving conditions and providing optimized firmness recommendations.
3Measurement precision
If initial and revised tire firmness values are determined and transmitted, then accurate tire performance monitoring is achieved, but communication data transmission increases
Solution Approach 1:
The system extracts only the essential information needed for tire performance monitoring - the initial firmness value, revised firmness value, and mode information - and transmits these selectively. Rather than transmitting all raw sensor data, the system processes and transmits only the derived firmness values that are most relevant for performance monitoring and optimization.
Data Source
AI summary
A method can include wirelessly receiving and storing tire information in memory circuits. By operation of processing circuits, an initial tire firmness value can be determined for one or more tires using the stored tire information. By operation of communication circuits, an initial tire firmness value can be transmitted. Mode information can be received and stored in memory circuits. In response to mode information, processing circuits can determine a revised tire firmness value for one or more tires using at least the mode information. By operation of communication circuits, revised tire firmness values can be wirelessly transmitted.