Vehicle Spin-Out Detection via Pneumatic Trail Estimation
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Solution Overview
Problem
Current vehicle stability control systems are ineffective in preventing spin-out conditions as they require accurate and timely knowledge of vehicle dynamic states, which is lacking when a vehicle is about to spin, leading to potential instability and loss of directional control.
Innovation Solution
A system that estimates pneumatic trail using sensed motion parameters from vehicle sensors, allowing for early detection of spin-out conditions by correlating tire self-aligning torque and lateral force, enabling preemptive warnings and automated countermeasures to prevent vehicle spin-out.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stability control systems wait for accurate knowledge of vehicle dynamic states to operate, then system reliability is improved, but response time deteriorates causing loss of directional control during spin-out
Solution Approach 1:
The system performs preliminary estimation of pneumatic trail using available sensor data before actual spin-out occurs. By calculating pneumatic trail from tire self-aligning torque and lateral force in real-time, the system detects precursor conditions and enables preemptive stability control interventions, allowing the system to act before directional control is completely lost
Solution Approach 2:
The system establishes predictive thresholds for pneumatic trail that indicate impending spin-out conditions. By monitoring when pneumatic trail approaches these pre-determined critical values, the system prepares for and can initiate countermeasures before the actual spin-out event, cushioning against the harmful effect of complete loss of control
2Measurement precision
If pneumatic trail estimation is performed using available sensor data, then measurement precision is improved, but device complexity is reduced by avoiding additional sensors
Solution Approach 1:
The system uses existing vehicle sensors (steering angle, yaw rate, lateral acceleration, longitudinal velocity) to calculate pneumatic trail through established tire mechanics relationships. The available sensor data self-suffices for pneumatic trail estimation without requiring additional dedicated sensors, maintaining measurement precision while avoiding increased device complexity
Solution Approach 2:
The pneumatic trail estimation algorithm serves multiple functions simultaneously: it characterizes tire behavior, detects spin-out precursor conditions, and provides input for stability control decisions. This multi-functionality allows accurate pneumatic trail measurement using the same sensor suite already required for other vehicle dynamics functions, avoiding additional hardware complexity
Data Source
AI summary
Methods and systems are provided for determining vehicle spin-out conditions including conditions indicative of a vehicle spin-out ahead of the vehicle actually spinning-out. The methods and systems receive motion parameters of a vehicle based on sensed signals from at least one vehicle sensor of an electronic power steering system and an inertial measurement unit. The method and systems estimate pneumatic trail based on a rate of change of self-aligning torque with respect to axle lateral force. The methods and systems determine vehicle spin-out conditions based on the estimated pneumatic trail. The methods and systems control at least one feature of a vehicle in response to the determined vehicle spin-out conditions.