Predictive Yaw Stability Control via Vehicle Motion Simulation
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Solution Overview
Problem
Conventional yaw stability control systems are limited in their ability to predict and prevent vehicle loss of control, especially in understeer situations, due to reliance on uncertain slip angle measurements and insufficient brake force, leading to potential fatal accidents.
Innovation Solution
A predictive yaw stability control method and system that simulates the vehicle's motion along a future path using detailed double track vehicle models and threat assessment algorithms, calculating indicators like the difference between reference and predicted yaw rates to anticipate and prepare for potential loss of control, enabling earlier intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional yaw stability control systems apply brake intervention based on current vehicle state, then immediate control action is achieved, but the intervention is too late to prevent severe understeer and loss of control
Solution Approach 1:
The system performs preliminary simulation of vehicle motion along the future path to predict potential loss of control situations before they occur. By calculating predicted yaw stability indicators in advance and comparing them against thresholds, the system can prepare and execute control interventions earlier, resolving the contradiction between immediate response and timely prevention of severe understeer
2Measurement precision
If conventional systems rely on slip angle measurement to identify loss of control, then direct measurement of vehicle state is achieved, but measurement uncertainty prevents reliable control activation
Solution Approach 1:
The system replaces direct slip angle measurement with a simulation-based prediction approach. By using vehicle models to simulate motion along the future path and calculate predicted yaw stability indicators, the system substitutes uncertain direct measurements with more reliable model-based predictions, enabling more reliable control activation
3Device complexity
If conventional yaw stability control systems use simplified single track vehicle models, then computational simplicity is achieved, but prediction accuracy of loss of control is insufficient
Solution Approach 1:
The system employs dynamic vehicle models that account for time-varying vehicle behavior during simulation along the future path. By using more sophisticated models that capture dynamic effects and comparing predicted indicators against thresholds, the system achieves reliable loss of control prediction while maintaining real-time computational performance through efficient simulation algorithms
Data Source
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AI summary
The present invention relates a method and system of predictive yaw stability control of a vehicle, comprising the steps of: initiating simulation starting from a measured state of the vehicle at that specific time instant; acquiring information on the road ahead to be travelled during a predetermined time period; simulating the vehicle's motion along a future path on the road ahead during the predefined time period; calculating one or more indicators of the vehicles predicted yaw stability during the simulated motion along the future path on the road ahead during the predefined time period; evaluating the calculated indicators to establish if the vehicle is about to lose control; and, if established that the vehicle is about to lose control, signaling this to an on-board yaw stability system.