Road Wheel Actuator Micro-Buckling Detection for Vehicle Stability
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Solution Overview
Problem
In Steer By Wire systems, drivers cannot easily sense abnormalities in the Road Wheel Actuator (RWA) mechanism, leading to issues like toe-in/toe-out, tire wear, and vehicle instability due to micro-buckling of tie-rods, which are not visibly detectable.
Innovation Solution
A method to detect and compensate for micro-buckling in the RWA by determining a traveling stability risk factor through a steering device control device, using methods such as checking wheel speed, rack speed, and vehicle rotation angle speed, and setting a compensation amount to maintain vehicle straightness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If micro-buckling detection is implemented through monitoring rack position and force, then traveling stability is improved, but device complexity increases
Solution Approach 1:
The system continuously monitors rack position and rack force, comparing actual values against expected ranges to detect micro-buckling conditions. This feedback mechanism enables real-time detection of tie-rod buckling without requiring additional complex hardware, as it utilizes existing sensors in the Steer By Wire system.
Solution Approach 2:
The control device acts as an intermediary that processes data from existing sensors (rack position sensor, rack force sensor) and translates it into buckling detection. Rather than directly detecting buckling physically, the system uses these intermediary measurements to infer buckling conditions through logical determination.
2Stability of the object's composition
If compensation amount is adjusted based on buckling detection, then vehicle straightness is improved, but control complexity increases
Solution Approach 1:
The system pre-establishes determination logic that defines normal ranges for rack position and rack force under various operating conditions. When measurements fall outside these pre-defined ranges, buckling is detected and compensation is automatically applied, eliminating the need for complex real-time calculations during operation.
Solution Approach 2:
The control system adjusts the compensation amount by changing control parameters based on the detected buckling state. The compensation amount is modified within a predetermined range to counteract the buckling effect, allowing the vehicle to maintain straightness through parameter adjustment rather than mechanical intervention.
3Measurement precision
If buckling detection is implemented without visible exterior damage, then early detection capability is improved, but false positive rate increases
Solution Approach 1:
The system monitors multiple parameters (rack position, rack force, wheel speed, vehicle rotation angle speed) simultaneously, using a combination of these measurements to determine buckling. By requiring multiple conditions to align before confirming buckling, the system reduces false positives while still detecting subtle micro-buckling events that wouldn't show exterior damage.
Solution Approach 2:
The determination logic dynamically adjusts detection thresholds based on operating conditions such as wheel speed and vehicle rotation angle speed. This dynamic approach allows the system to distinguish between normal operational variations and actual buckling events, improving detection accuracy while maintaining reliability across different driving scenarios.
Data Source
AI summary
A method which is performed by a steering device control device and determines a traveling stability risk factor by detecting a part of a road wheel actuator is provided. The method includes (a) transmitting a steering angle of a driver from a steering wheel actuator to a road wheel actuator, (b) transmitting a feedback torque from the road wheel actuator to the driver based on a rack force, determining micro-buckling of a tie-rod during the (a) and (b), and when the micro-buckling is determined, providing the determination to a traveling vehicle system.