Tire Force Model Updating From Multi-Axis Acceleration Sensing
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Solution Overview
Problem
Existing methods for estimating the friction coefficient between a tire and a road surface, such as those using vehicle information, do not accurately reflect tire behavior, leading to low calculation accuracy of tire forces.
Innovation Solution
An arithmetic model generation system and method that acquires tire acceleration, calculates tire forces using a learning-type model like a neural network, and updates the model based on measured tire axial forces to improve estimation accuracy, considering both radial and axial directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle information (acceleration, engine torque) is used to estimate friction coefficient, then the estimation method is simple, but calculation accuracy of tire force is low because actual tire behavior (vibrations) is not reflected
Solution Approach 1:
The patent introduces an acceleration sensor as an intermediary device mounted on the tire to directly measure tire vibrations. This mediator captures the actual tire behavior that cannot be obtained from vehicle information alone, thereby improving tire force calculation accuracy while maintaining relative system simplicity
Solution Approach 2:
The patent replaces the indirect mechanical estimation method (using vehicle information) with a direct measurement approach using acceleration sensors and signal processing. The mechanical vibration measurements are converted into tire force data through arithmetic models, substituting the need for complex mechanical analysis
2Measurement precision
If only radial acceleration is measured, then the measurement system is simple, but tire force estimation in lateral and vertical directions is inaccurate
Solution Approach 1:
The patent makes a single acceleration sensor multi-functional by strategically mounting it on the tire rim so that it can measure acceleration components in radial, axial, and longitudinal directions simultaneously. This universal positioning allows one sensor to provide data for estimating tire forces in multiple directions (vertical, lateral, and longitudinal), eliminating the need for separate sensors for each direction
Data Source
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Figure 3A~3B
AI summary
An arithmetic model generation system (100) includes a sensor information acquisition unit (31), a tire force calculator (32), and an arithmetic model update unit (33). The sensor information acquisition unit (31) acquires acceleration of a tire (10). The tire force calculator (32) includes an arithmetic model (32b) for calculating tire force F based on the acceleration, and calculates the tire force F by inputting the acceleration acquired by the sensor information acquisition unit (31). The arithmetic model update unit (33) compares tire axial force measured by the tire (10) and the tire force F calculated by the tire force calculator (32), and updates the arithmetic model (32b).