Clutch Characteristic Curve Learning for Faster Stable Convergence
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Solution Overview
Problem
Current clutch characteristic curve adjustment methods in dual clutch transmission systems are inefficient, leading to unstable transmission quality due to large variation in clutch system characteristics, especially during the initial stages of vehicle use or system stabilization, and require a long time to converge.
Innovation Solution
An apparatus that adjusts the clutch characteristic curve based on vehicle mileage by selectively modifying key points of the curve, reducing the variation range as mileage increases, using a mileage detection unit, clutch characteristic curve storage, learning unit, and adjustment unit to apply learning amounts proportionally, thereby stabilizing the clutch system over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the amount of adjusting the clutch characteristic curve is set relatively low in a section with large variation in clutch system characteristics, then the stability of the clutch characteristic curve is improved, but a long time is required until convergence
Solution Approach 1:
The adjustment amount is made dynamic rather than static. The control unit adjusts the clutch characteristic curve with a larger adjustment amount when variation in clutch system characteristics is large (early stage), and reduces the adjustment amount when variation becomes small (later stage). This dynamic adjustment strategy resolves the contradiction by adapting the adjustment magnitude to the actual system state, achieving both fast convergence and stability.
Solution Approach 2:
The invention changes the parameter of adjustment amount based on the variation in clutch system characteristics. By monitoring the variation and adjusting the correction magnitude accordingly, the system optimizes the learning process - applying larger corrections when needed for fast convergence and smaller corrections when stability is required, thus resolving the time-stability trade-off.
2Loss of time
If the amount of adjusting the clutch characteristic curve is set relatively large in a section with small variation in clutch system characteristics, then the convergence speed is improved, but the amount of adjusting serves as a factor that degrades the stability of the clutch characteristic curve
Solution Approach 1:
The adjustment amount is made dynamic rather than static. The control unit adjusts the clutch characteristic curve with a larger adjustment amount when variation in clutch system characteristics is large (early stage), and reduces the adjustment amount when variation becomes small (later stage). This dynamic adjustment strategy resolves the contradiction by adapting the adjustment magnitude to the actual system state, achieving both fast convergence and stability.
Solution Approach 2:
The invention changes the parameter of adjustment amount based on the variation in clutch system characteristics. By monitoring the variation and adjusting the correction magnitude accordingly, the system optimizes the learning process - applying larger corrections when needed for fast convergence and smaller corrections when stability is required, thus resolving the time-stability trade-off.
3Device complexity
If the clutch characteristic curve is adjusted based on a learnt value obtained through a most recent clutch characteristic learning, then the adjustment process is simplified, but the clutch characteristic curve becomes unstable during initial vehicle use or system replacement
Solution Approach 1:
The control unit determines whether the vehicle is in a taming period (initial use or system replacement) before applying adjustments. By identifying this preliminary state and applying appropriate control strategies during this period, the system prevents instability that would otherwise occur during the adjustment process, thus improving reliability without significantly increasing complexity.
Solution Approach 2:
The control unit monitors the variation in clutch system characteristics and uses this feedback to determine the appropriate adjustment amount. This feedback mechanism allows the system to adapt to the current state of the clutch system, ensuring stable adjustments even during the taming period when characteristics are still stabilizing.
Data Source
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Figure 3~4(b)
AI summary
Disclosed is an apparatus for adjusting a clutch characteristic curve. An apparatus for adjusting a clutch characteristic curve according to the present invention is characterized by including: a mileage detection unit (10) which detects a mileage of a vehicle; a clutch characteristic curve learning unit (30) which learns the clutch characteristic curve on the basis of data obtained from a vehicle operation; and a clutch characteristic curve adjustment unit (40) which adjusts the clutch characteristic curve by reflecting the mileage detected by the mileage detection unit (10) to a learnt value obtained by the clutch characteristic curve learning unit (30).