Adjustable Roll Stabilizer Plausibility Check via Model Calculation
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Solution Overview
Problem
Existing adjustable roll stabilizers for motor vehicles face challenges in accurately monitoring and checking the plausibility of the stored relationship between wheel height levels and stabilizer angles, which can lead to errors in perturbation regulation, compromising safety and stability during vehicle operation.
Innovation Solution
A method and system for operating an adjustable roll stabilizer that uses a model calculation based on linear kinematics to check the plausibility of the stabilizer angle, comparing sensor-determined wheel height levels with a calculated stabilizer angle, and triggering error reactions if the values are deemed implausible, thereby ensuring accurate control and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a stored relationship between wheel height levels and stabilizer angles is used for perturbation regulation, then the control accuracy is improved, but the reliability is worsened due to inability to check plausibility
Solution Approach 1:
The patent applies preliminary action by pre-storing the relationship between wheel height levels and stabilizer angles in a lookup table or characteristic curve before operation. This allows the control system to quickly retrieve predetermined values during runtime without performing complex real-time calculations, thereby improving control accuracy while maintaining system reliability through pre-validated data.
Solution Approach 2:
The patent implements feedback by continuously monitoring the actual stabilizer angle and wheel height levels during operation, comparing them with the stored relationship values, and using this information to verify plausibility. The control unit receives feedback signals from sensors and adjusts the actuator control accordingly, ensuring both accuracy and reliability through closed-loop validation.
2Reliability
If the stabilizer angle is controlled as a function of wheel height levels using stored relationships, then the perturbation regulation is improved, but the device complexity increases due to additional monitoring and model calculation requirements
Solution Approach 1:
The patent applies universality by designing the control unit to perform multiple functions: it stores the relationship data, retrieves values based on sensor input, calculates stabilizer angles, monitors plausibility, and controls the actuator. This multi-functional approach consolidates what could be separate complex subsystems into a single integrated control unit, improving perturbation regulation while minimizing the increase in overall device complexity.
Solution Approach 2:
The patent uses an intermediary approach by introducing a model calculation layer between the sensor inputs and the actuator control. This intermediary model (stored relationship) acts as a mediator that translates wheel height levels into appropriate stabilizer angles, simplifying the control logic while improving regulation accuracy. The model serves as a buffer that decouples the sensing and actuation subsystems.
Data Source
AI summary
A method of operating an adjustable roll stabilizer for a motor vehicle. The stabilizer has an actuator which can be rotated through a system angle about a rotational axis to apply a system torque and rotate two stabilizer sections relative to one another about the axis. The stabilizer sections are coupled at a radial distance from the axis to a respective wheel suspension, and depending on the system angle and under the external influence of movements of the wheel suspensions, twist relative to one another through a stabilizer angle. In the context of a perturbation magnitude regulation, the actuator is controlled based on the stabilizer angle determined from height levels of the wheels, by virtue of a stored relationship for the roll stabilizer and/or motor vehicle. The plausibility of the stored relationship between the wheel height levels and the stabilizer angle is checked by a model calculation.