Real-Time Tire State Correction for Vehicle Motion Stability
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Solution Overview
Problem
Current vehicle motion control systems face challenges in accurately estimating tire states and predicting tire behavior, leading to potential vehicle instability and skidding due to deteriorating component conditions over their life cycles.
Innovation Solution
A vehicle motion control system equipped with input devices, actuators, and a computer that processes real-time data to determine and adjust tire states and prediction models, using actuators like Electric All Wheel Drive and Electric Limited Slip Differential to adjust torque between axles, thereby maintaining vehicle stability and preventing skidding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time tire state correction is implemented, then vehicle stability is improved, but device complexity increases
Solution Approach 1:
The system continuously monitors actual vehicle motion through sensors and compares it with predicted motion from tire models. When discrepancies are detected indicating tire degradation, the system feeds back corrected tire state information to adjust control parameters, creating a closed-loop feedback mechanism that maintains vehicle stability despite component deterioration.
Solution Approach 2:
The system performs self-diagnosis by automatically detecting tire degradation through motion discrepancies and self-corrects by updating tire state estimates without requiring external intervention. The computer system autonomously identifies when tire models become inaccurate and adjusts its own operation accordingly.
2Measurement precision
If tire degradation is compensated in real-time, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system pre-establishes tire prediction models and motion reference trajectories before degradation occurs. When degradation is detected, the system compares actual motion against pre-computed references and applies corrections based on predefined correction algorithms, avoiding the need for complex real-time model re-derivation and reducing computational time.
Solution Approach 2:
Instead of re-computing entire tire models in real-time, the system adjusts specific tire state parameters (such as friction coefficients, stiffness values, or degradation factors) based on detected motion discrepancies. This parameter-based correction approach is computationally lighter than full model re-estimation while maintaining accuracy.
Data Source
AI summary
A vehicle motion control system includes one or more input devices for generating one or more input signals associated with data indicative of a motion of the vehicle. The system further includes a computer, which has one or more processors. The computer further includes a non-transitory computer readable storage medium for storing instructions, such that the processor is programmed to compare a current tire state and a current tire prediction model to the data indicative of the motion of the vehicle. The processor is further programmed to calculate in real-time an adjusted tire state and an adjusted tire prediction model. The processor is further programmed to generate in real-time one or more actuation signals based on the adjusted tire state and the adjusted tire prediction model. The actuators in real-time adjust the motion of the vehicle in response to the actuator receiving the actuation signal from the processor.