Vehicle Damper Feedback Control at Driving Dynamics Limits
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Solution Overview
Problem
Existing methods for controlling vehicle driving dynamics using dampers are limited in their ability to reliably predict and influence dynamics, especially at the limits of driving dynamics.
Innovation Solution
A closed-loop control system that adjusts damper forces based on a control deviation calculated between a target dynamic variable and an actual dynamic variable, ensuring that the desired driving dynamics are achieved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If damper forces are adjusted based on fixed relationships or characteristic curves, then the control system is simple to implement, but the reliability of influencing driving dynamics deteriorates at the limits of driving dynamics
Solution Approach 1:
The patent implements a closed-loop control system where the actual driving dynamics variable is continuously measured and fed back to the controller. The controller calculates the deviation between the actual and target dynamic variables and adjusts the damper forces accordingly. This feedback mechanism ensures reliable influence on driving dynamics even at the limits by continuously adapting to the actual vehicle state rather than relying on fixed pre-defined relationships.
2Ease of operation
If fixed relationships between damper force and dynamic variable are assumed, then the control implementation is straightforward, but the effectiveness of influencing driving dynamics deteriorates in limiting ranges
Solution Approach 1:
The patent transitions from static fixed relationships to dynamic adaptive control. The control system continuously determines the actual driving dynamics variable during vehicle operation and adjusts the damper forces in real-time based on the current state. This dynamic approach allows the system to adapt to changing conditions and maintain effectiveness across the entire operating range, including limiting ranges where fixed relationships fail.
3Device complexity
If damper forces are adjusted without closed-loop verification, then the control system is simpler, but the ability to ensure target dynamic variable achievement deteriorates
Solution Approach 1:
The patent employs closed-loop control where the actual driving dynamics variable is measured by sensors and continuously compared with the target value. The controller calculates the deviation and adjusts damper forces to minimize this deviation. This feedback verification ensures that the target dynamic variable is actually achieved, providing precise control even though it increases system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the reliability and effectiveness of influencing driving dynamics, enhancing driving stability by accurately adjusting damper forces to match target dynamic variables.
Implementation Method 1
The dampers generate damping forces that influence the forces acting between the vehicle wheels and the road surface
Data Source
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AI summary
The invention relates to a method for controlling driving dynamics of a vehicle (1) by means of dampers (16), said vehicle (1) comprising at least two axles (10, 12) which each have at least two wheels (14) together with dampers (16), and said method comprising the following control: a) obtaining a driving dynamics target variable (SD); b) determining a control deviation (e) on the basis of the driving dynamics target variable (SD) and a driving dynamics actual variable (ID); c) changing the damper force (D) of at least one damper (16) according to the control deviation (e); d) updating and feeding back the driving dynamics actual variable (ID) in the event of a changed damper force (D) in order to re-determine the control deviation (e). The invention further relates to a vehicle (1) and a control device (20) of a vehicle (1).