Wheel Rolling Radius Estimation Using Vehicle State Mapping
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Solution Overview
Problem
Existing methods for determining the effective wheel rolling radius in heavy-duty vehicles suffer from latency issues due to the need for extensive averaging to achieve accuracy, which prolongs the convergence time of estimation processes.
Innovation Solution
A method involving a mapping between vehicle operating states and effective rolling radius is used to initialize an algorithm, allowing for faster convergence by providing a closer starting point, and the mapping is updated based on estimated values, with options for vehicle-specific or type-specific customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wheel radius is measured using conventional methods (odometer, strobe photos, or wheel rotation sensor), then the measurement process is simple, but the measurement precision deteriorates when the wheel deforms under vehicle weight
Solution Approach 1:
The patent replaces mechanical measurement methods (odometer, strobe photos, wheel rotation sensors) with an optical imaging system using a camera and image processing algorithms. The system captures images of the wheel at multiple positions and uses computational methods to calculate the rolling radius, eliminating the need for direct mechanical contact or complex mechanical measurement devices while achieving higher precision even when the wheel deforms under vehicle weight
Solution Approach 2:
The patent creates a visual copy (image) of the wheel at different positions during rotation and uses these image copies to calculate the rolling radius. By capturing and analyzing multiple images of the wheel at known angular positions, the system can determine the rolling radius through image processing without directly measuring the physical wheel dimensions, thus maintaining precision despite wheel deformation
2Measurement precision
If the wheel is assumed to be a rigid body, then the calculation is simple, but the measurement accuracy deteriorates due to actual wheel deformation under vehicle weight
Solution Approach 1:
The patent changes the approach from assuming a fixed rigid wheel model to dynamically calculating the effective rolling radius based on multiple measured positions. By taking measurements at multiple angular positions (e.g., 0°, 90°, 180°, 270°) and using these varying data points to compute an effective radius, the system accounts for wheel deformation without requiring a complex deformable body model, thus improving accuracy while keeping calculations manageable
Solution Approach 2:
The patent performs preliminary measurements at multiple wheel positions before calculating the final effective rolling radius. By capturing images and recording positions in advance, the system has sufficient data to compute an accurate effective radius that accounts for deformation, eliminating the need for complex real-time deformation modeling during operation
Data Source
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AI summary
A method for determining an effective rolling radius (RE) of a wheel (102) mounted on a heavy-duty vehicle (100), the method comprising obtaining a mapping (410) between vehicle operating state of the heavy-duty vehicle (100) and effective rolling radius (RE) of the wheel (102), determining a current vehicle operating state of the heavy-duty vehicle (100), initializing an algorithm (420) for estimating effective rolling radius (RE) of the wheel (102) based on the current vehicle operating state and on the mapping (410), and, upon the algorithm (420) reaching a convergence criterion, updating the mapping (410) based on the estimated effective rolling radius (RE).