Tire Wear Detection via Steering Angle and Turning Radius
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Human operators may not perceive changes in a vehicle's cornering behavior due to tire wear, and existing methods for determining tire wear rely on specific data collection scenarios that may not be applicable to all vehicles.
Innovation Solution
A tire-wear detection system for automated vehicles, incorporating a steering-angle sensor, vehicle-path detector, and controller that determines tire wear based on turning radius and steering angle, with optional consideration of vehicle speed, ambient temperature, traction rating, and camber angle, to provide timely tire replacement notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a system gathers historical cornering behavior data for frequently traveled corners, then tire wear detection accuracy is improved, but the system may not be applicable to vehicles that do not provide sufficient data collection scenarios
Solution Approach 1:
The system uses multiple sensors (steering angle sensor, vehicle path detector, speed sensor) that can serve both tire wear detection and other vehicle monitoring functions. The controller processes data from these sensors to determine tire wear status while the same sensors can potentially support other vehicle performance assessments, making the system adaptable to various usage scenarios even when specific cornering data is limited
Solution Approach 2:
The system determines tire wear by analyzing changes in multiple parameters including steering angle, turning radius, vehicle speed, and optionally ambient temperature and camber angle. By monitoring changes in these parameters over time rather than relying on a single parameter, the system can detect tire wear even when vehicles do not frequently traverse the same corners, thus improving adaptability to varied usage scenarios
2Measurement precision
If the system monitors tire wear continuously using multiple parameters, then wear status assessment accuracy is improved, but device complexity increases
Solution Approach 1:
The system combines data from multiple existing sensors (steering angle sensor, vehicle path detector, speed sensor) that are already present in automated vehicles. By merging the functionality of these existing sensors to serve tire wear detection in addition to their primary functions, the system improves wear status assessment accuracy without significantly increasing device complexity
Solution Approach 2:
The controller is designed to process multiple parameters (steering angle, turning radius, speed, temperature, camber angle) simultaneously, making it a multi-functional processing unit that can handle various vehicle monitoring tasks. This universal approach allows accurate tire wear detection without requiring separate dedicated hardware for each parameter, thus managing system complexity
Data Source
Figure 1
Figure 2
AI summary
A tire-wear detection system (10) for an automated vehicle includes a steering- angle-sensor (18), a vehicle-path-detector (24), and a controller (30). The steering-angle-sensor (18) indicates a steering-angle (20) of a host-vehicle (12). The vehicle-path-detector (24) indicates a turning-radius (26) of the host-vehicle (12). The controller (30) is in communication with the steering-angle-sensor (18) and the vehicle -path-detector (24). The controller (30) determines a wear-status (32) of a tire of the host-vehicle (12) based on the turning-radius (26) and the steering- angle (20).