Vehicle Controller Tire Wear Detection via Driver Behavior Analysis
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Solution Overview
Problem
Current methods for determining vehicle tire wear are prone to inaccuracies due to user error, as they rely on visual inspection and do not account for subtle tire defects, leading to potential safety and performance issues.
Innovation Solution
A vehicle controller system that analyzes historical data from various sensors and systems to identify driver behavior patterns indicative of tire wear, using predictive models to calculate tire condition and notify users of maintenance needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection methods are used to determine tire wear, then the inspection process is simple and quick, but the measurement precision is low due to user error and inability to detect subtle defects
Solution Approach 1:
The patent replaces manual visual inspection with an automated electronic system that uses sensors (accelerometers, gyroscopes, wheel speed sensors) and processors to detect tire wear through mechanical data collection and analysis. This substitution eliminates user error while maintaining operational simplicity through automated notifications.
Solution Approach 2:
The patent introduces an intermediary computational system that processes data between the physical tire wear condition and the user notification. The controller analyzes sensor data, compares it against wear thresholds, and generates notifications, serving as an intelligent mediator that enhances detection accuracy without requiring direct user expertise.
2Reliability
If regular manual inspection is performed, then maintenance scheduling is straightforward, but subtle tire defects are missed leading to safety issues
Solution Approach 1:
The patent replaces human inspection judgment with automated sensor-based detection systems that continuously monitor tire conditions. This substitution significantly improves reliability by detecting subtle defects that human inspectors miss, while the automation level is managed through straightforward threshold comparisons and notification systems.
3Measurement precision
If detailed sensor data analysis is implemented to accurately assess tire wear, then measurement precision improves, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent implements partial action by focusing sensor data collection on specific parameters most indicative of tire wear (wheel speed variations, vibration patterns, acceleration changes) rather than analyzing all possible vehicle sensors. This selective approach maintains high measurement precision while limiting data processing complexity to essential metrics.
Solution Approach 2:
The patent transforms complex sensor data into simplified wear condition parameters by comparing measured values against predetermined thresholds. This parameter transformation converts raw sensor readings into actionable tire wear assessments, maintaining accuracy while reducing processing complexity through threshold-based decision making.
Data Source
AI summary
Systems, apparatus, and methods to determine vehicle tire wear are disclosed. A disclosed apparatus includes a vehicle controller configured to determine, based on data associated with operation of a vehicle, behavior of one or more drivers of the vehicle that causes tire wear. The controller is also configured to calculate, based on the behavior, a condition of a tire of the vehicle. The controller is also configured to generate, via an output device, a notification indicating the condition of the tire to a user.