Adaptive Clutch Control Algorithm Calibration
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Solution Overview
Problem
Existing clutch control systems in vehicles with automatic or semi-automatic transmission struggle to maintain smooth torque transfer during gear shifts due to changes in clutch system characteristics over time, leading to reduced driving comfort and potential jerking or unpleasant sounds, as they are not adaptable to the unique characteristics of individual clutch units and aging components.
Innovation Solution
A method for calibrating the clutch control algorithm by monitoring the clutch actuator position and determining the time interval from a disengagement or engagement request to a predetermined position, allowing the algorithm to be adapted to the actual speed of the clutch system, incorporating factors like manufacturing variations, aging, and current conditions such as gas pressure and temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed parameters are used for clutch control, then the control system is simple, but the timing becomes inaccurate due to manufacturing variations and aging
Solution Approach 1:
The clutch control system transitions from static fixed parameters to dynamic adaptive parameters. The control algorithm continuously learns and updates the clutch characteristics through repeated operations, adjusting the timing parameters in real-time to match the actual clutch state, thereby maintaining accuracy despite aging and manufacturing variations.
Solution Approach 2:
The system implements a feedback mechanism where the actual clutch behavior is monitored and used to update the control algorithm. By measuring the relationship between control signals and actual clutch response over multiple operations, the system refines its timing predictions and compensates for wear and manufacturing tolerances.
2Measurement precision
If the clutch control algorithm is adapted to individual clutch characteristics, then the timing accuracy improves, but the device complexity increases
Solution Approach 1:
The clutch control system performs self-calibration and self-adjustment through automated learning operations. The control algorithm autonomously captures clutch characteristics during normal operation and updates its parameters without requiring external intervention or complex manual calibration procedures, thereby achieving high accuracy with minimal added complexity.
Solution Approach 2:
The system performs preliminary learning operations during initial clutch assembly or after maintenance events to establish baseline characteristics before normal operation begins. This pre-calibration phase captures the specific clutch parameters that will be used throughout the service life, simplifying ongoing control while maintaining accuracy.
Data Source
AI summary
A method is provided for calibrating a control algorithm of a clutch control unit of a vehicle. The method includes requesting, clutch disengagement or engagement, monitoring clutch actuator position, determining a time interval that starts with the clutch disengagement or engagement request and ends when the clutch actuator has reached a predetermined position, and calibrating an estimated time interval of the control algorithm starting with clutch disengagement or engagement request and ending when the clutch actuator has reached a predetermined position based on the determined time interval. A computer program for implementing the method, as well as a vehicle comprising a clutch control unit calibrated according to the method, are also provided.