Vehicle Powertrain Shift Pressure Control With Self-Learning Feedback
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Solution Overview
Problem
Existing vehicle powertrain control systems rely on manually mapped control data, which are highly dependent on operator experience and skill, leading to unreliable data and lengthy setup times.
Innovation Solution
A shift control method for a vehicle powertrain that calculates a control hydraulic pressure basic calculation value using a control matrix from a vehicle powertrain model, and adjusts this value with a correction value including a learning value for the shift element, to ensure smooth and stable shift control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control data are manually mapped by an operator, then the control data can be established, but the reliability is low and a large amount of time is required
Solution Approach 1:
The system performs self-learning by automatically acquiring sensor data during actual shift operations and autonomously generating corrected control data without requiring manual operator intervention. The controller continuously learns from real-world operating conditions and automatically updates the control matrix, eliminating the time-consuming manual mapping process while ensuring high reliability through actual operational data.
Solution Approach 2:
The system implements a feedback mechanism where sensor data from actual shift operations is fed back to the controller, which then automatically corrects and updates the control data. This closed-loop learning process ensures that control data continuously improves based on real operational performance, achieving both high reliability and efficiency without manual intervention.
2Reliability
If control data are manually mapped by an operator, then the control data can be established, but the data are highly dependent on operator experience and skill
Solution Approach 1:
The system eliminates dependence on operator experience by performing automatic self-learning through sensor data acquisition and autonomous control data generation. The controller independently processes operational data and updates the control matrix without human intervention, ensuring consistent reliability regardless of operator skill level.
Solution Approach 2:
The patent replaces the manual mechanical process of operator-based data mapping with an automated electronic learning system. The controller uses computational algorithms to process sensor data and generate control data, substituting human cognitive processes with automated electronic systems that eliminate variability due to operator experience.
3Productivity
If the controller calculates control hydraulic pressure using a vehicle powertrain model, then shift control can be performed, but data required for shift control may be difficult to ensure
Solution Approach 1:
The system performs preliminary data collection and processing by continuously acquiring sensor data during normal operations and pre-processing it into corrected control data. This preliminary action ensures that when shift control is needed, the required data is already prepared and validated, eliminating delays and ensuring data availability for efficient shift control execution.
Solution Approach 2:
The controller autonomously collects, processes, and validates the required data for shift control through self-learning operations. By performing self-service data preparation during normal vehicle operation, the system ensures that all necessary data is continuously available and validated, eliminating the uncertainty of data availability when shift control is executed.
Data Source
AI summary
A shift control method for a vehicle powertrain includes determining, by a controller, whether a transmission is shifting and determining the type of shifting when the transmission is shifting, selecting a predetermined control matrix depending on whether the transmission is shifting and the type of shifting, calculating a necessary torque of a control target shift element on the basis of the selected control matrix, calculating a control hydraulic pressure for implementing the necessary torque of the control target shift element, and controlling the control target shift element by using the calculated control hydraulic pressure, and the control matrix is calculated by using relationship formulas of angular velocities, angular accelerations, moments of inertia, and torques of powertrain components and using a boundary condition according to a state of the transmission.