Pedal Force Simulator Stop Learning for Accurate Haptic Curves
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Solution Overview
Problem
Existing methods for determining the characteristic curve of a clutch pedal simulator in vehicle actuation systems are unreliable, leading to inconsistent haptic feedback and incorrect clutch operation.
Innovation Solution
A learning routine is employed to determine the lower and upper stops of the clutch pedal by repeatedly actuating the pedal and checking if the measured distances fall within a predetermined tolerance range, with adjustments for hysteresis and customizable number of actuations to ensure accurate stop detection and characteristic curve determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single actuation of the clutch pedal is used to determine the characteristic curve, then the process is simple and quick, but the reliability of stop detection is insufficient
Solution Approach 1:
The patent implements periodic action by repeatedly actuating the clutch pedal multiple times (at least twice) to determine the characteristic curve. Each actuation cycle allows the learning routine to detect whether the lower and upper stops are correctly reached, and only after successful detection in multiple cycles is the characteristic curve determination completed. This periodic repetition ensures reliable stop detection while maintaining an efficient process.
2Measurement precision
If the tolerance range for stop detection is made strict, then the precision of characteristic curve determination is improved, but the probability of faulty process recognition increases
Solution Approach 1:
The patent applies beforehand cushioning by implementing a learning routine that performs multiple actuation cycles before finalizing the characteristic curve determination. The routine includes a tolerance range check that allows for minor deviations in stop detection. If the lower or upper stop is not correctly detected within the tolerance range during a cycle, the system does not immediately fail but continues with additional actuation cycles, cushioning against faulty process recognition while maintaining measurement precision.
3Reliability
If the number of actuations is increased to ensure correct stop detection, then the reliability of characteristic curve determination is improved, but the complexity of the learning routine increases
Solution Approach 1:
The patent implements feedback by having the learning routine continuously monitor whether the lower and upper stops are correctly reached during each actuation cycle. The routine provides feedback on the detection status and uses this information to determine whether to continue with additional actuations or to complete the characteristic curve determination. This feedback mechanism ensures reliable determination while keeping the learning routine structure clear and manageable.
Data Source
Figure 1
AI summary
The invention relates to a method for determining a characteristic curve of a device for activating an activation element of a vehicle, preferably of a pedal force simulator, by means of which characteristic curve haptic feedback about a predefined force/travel behaviour is conveyed to the activation element. In a method in which the characteristic curve can be reliably determined, a lower and upper stop of the activation element are determined by means of a learning routine, wherein the lower and/or the upper stop of the activation element are/is activated repeatedly, and it is independently checked by means of the learning routine whether the measured lower and/or upper stop are/is within a predefined tolerance range.