Adaptive Transmission Solenoid Control via Offset Learning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current transmission solenoid control systems face challenges in accurately controlling clutch pressures, leading to inefficiencies in gear shifting and potential faults due to variations in pressure offsets that are not effectively accounted for.
Innovation Solution
A system comprising a target pressure module, error module, pressure offset module, offset learning module, and solenoid control module that determines and updates a pressure offset mapping to generate a commanded pressure for the solenoid, enabling precise control of clutch engagement and disengagement by adjusting for pressure errors and learning from integral terms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fixed pressure control is used for transmission solenoids, then the control system is simple, but the clutch pressure control accuracy is insufficient and cannot adapt to changing conditions
Solution Approach 1:
The patent implements a feedback mechanism where the actual clutch pressure is measured and compared with the target pressure to generate a pressure error signal. This error signal is then used to adjust the solenoid control, creating a closed-loop control system that continuously corrects pressure deviations and improves control accuracy.
Solution Approach 2:
The control system performs self-adjustment by automatically learning and updating pressure offsets based on observed pressure errors. The system uses its own operational data to refine its control parameters, eliminating the need for external calibration and enabling adaptive improvement of pressure control accuracy over time.
2Adaptability or versatility
If adaptive pressure control with learning capability is implemented, then the system can correct pressure offsets in real-time, but the device complexity increases
Solution Approach 1:
The system pre-calculates and stores a mapping of pressure offsets indexed by target pressure values during the learning phase. This preliminary action allows the system to quickly retrieve and apply appropriate offset corrections during operation without performing complex real-time calculations, reducing computational complexity while maintaining adaptability.
Solution Approach 2:
The control system dynamically adapts by selectively updating pressure offsets based on learned information from operational conditions. The system transitions from static fixed pressure control to dynamic adaptive control, where pressure offsets are adjusted in real-time based on actual performance feedback and changing operating conditions.
3Reliability
If pressure offsets are learned and updated selectively, then the system can maintain accuracy under varying conditions, but the control logic becomes more complex
Solution Approach 1:
The system performs preliminary learning and validation to determine when offset updates are appropriate. By pre-establishing criteria for selective updating and pre-calculating offset mappings, the system ensures reliable pressure control while avoiding unnecessary or premature updates that could compromise stability.
Solution Approach 2:
The selective update mechanism uses feedback from pressure error measurements to determine when and how to adjust pressure offsets. The system continuously monitors pressure control performance and only updates offsets when meaningful corrections are identified, maintaining reliability while adapting to changing conditions.
Data Source
AI summary
A target pressure module determines a target pressure for controlling a solenoid of a transmission. An error module determines a pressure error based on a difference between the target pressure and a pressure measured using a pressure sensor. A pressure offset module determines a pressure offset using the target pressure and a mapping of pressure offsets indexed by target pressure. An offset learning module selectively determines a learned pressure offset and selectively updates the mapping based on the learned pressure offset. A pressure command module selectively generates a commanded pressure based on the target pressure, the pressure offset, and the pressure error. A solenoid control module controls actuation of the solenoid based on the commanded pressure.