Two-Wheeler Cornering Stabilization via Torque Control
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Solution Overview
Problem
Existing methods for stabilizing two-wheelers during cornering, such as motorcycles, fail to effectively adapt speed and steering angles to curve radii, leading to critical riding situations like oversteering or understeering, which pose high risk potential.
Innovation Solution
A method utilizing a sensor system to detect impending critical driving states by measuring vehicle state variables, including steering angles, acceleration values, and inclinations, to automatically adjust torque at the front and rear wheels through engine and braking interventions, thereby stabilizing the vehicle by comparing current steering angles to setpoint angles and influencing torque to prevent drift or understeer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the motorcycle speed and steering angle are manually adapted to the curve radius, then the rider can negotiate curves, but critical riding situations like oversteering or understeering occur when the adaptation is incorrect
Solution Approach 1:
The system automatically determines the setpoint steering angle based on measured vehicle state variables (lateral acceleration, yaw rate, roll angle, vehicle speed, curve radius) without requiring manual rider calculation or adjustment. The control device autonomously calculates and adjusts the steering angle to maintain stable cornering, making the system self-regulating and eliminating the need for precise manual adaptation.
Solution Approach 2:
The system continuously measures actual vehicle state variables using sensors (lateral acceleration sensor, yaw rate sensor, roll angle sensor, vehicle speed sensor) and compares them against expected values for stable cornering. Based on this feedback, the control device automatically adjusts the steering angle to correct deviations and maintain stability, creating a closed-loop control system that prevents oversteering and understeering.
2Reliability
If a sensor system measures multiple vehicle state variables to detect critical driving states, then early detection and stabilization are possible, but the device complexity increases
Solution Approach 1:
The system uses a multi-functional sensor suite where each sensor serves multiple purposes in the cornering stabilization process. The lateral acceleration sensor contributes to detecting critical states, calculating setpoint steering angle, and monitoring vehicle dynamics. The yaw rate sensor, roll angle sensor, and vehicle speed sensor similarly contribute to multiple aspects of cornering analysis and control, maximizing the utility of each sensor and justifying the complexity through enhanced reliability.
Data Source
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AI summary
The invention relates to a method for stabilizing a two-wheeled vehicle when cornering, wherein the measured values including the current steer angle are indicative of a drifting of the back wheel and/or understeering of the front wheel and the two-wheeled vehicle is stabilized by modifying the torque at the front wheel and/or back wheel.