Dry DCT Clutch Temperature Prediction Using LTI Model
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Solution Overview
Problem
Dry dual clutch transmissions experience greater thermal variation due to the absence of lubricating fluid, making it challenging to predict and control clutch temperatures effectively, which affects torque transfer and fuel economy.
Innovation Solution
A clutch temperature prediction module using a linear time-invariant (LTI) model calculates clutch and clutch housing temperatures based on clutch slip power, ambient air temperature, engine oil temperature, and transmission oil temperature, implemented in a computer program executed by processors to provide accurate temperature predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a dry dual clutch transmission is used to reduce friction and improve fuel economy, then fuel economy is improved, but thermal variation increases making temperature prediction difficult
Solution Approach 1:
The system performs preliminary temperature prediction calculations using an LTI model before actual clutch operation. By predicting temperatures in advance based on slip power, ambient temperature, and oil temperature, the system prepares temperature compensation parameters proactively, allowing the ECU to adjust torque transfer characteristics before excessive thermal variation occurs, thus maintaining fuel economy while controlling temperature effects
Solution Approach 2:
The system implements a feedback mechanism where predicted clutch temperatures are continuously fed back to the ECU, which then adjusts clutch control parameters in real-time. This closed-loop feedback allows the system to compensate for thermal variation dynamically, maintaining optimal performance and fuel economy despite the inherent thermal challenges of dry clutch operation
2Measurement precision
If clutch temperature prediction is performed using complex thermal models, then temperature prediction accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The system uses a simplified LTI (Linear Time-Invariant) model that acts as a computationally inexpensive approximation of complex thermal models. This lightweight model provides sufficient temperature prediction accuracy for control purposes without requiring the heavy computational resources of detailed finite element thermal models, enabling real-time prediction on standard automotive ECUs
Solution Approach 2:
The system transforms the complex nonlinear thermal dynamics into a linear time-invariant framework by changing the mathematical representation parameters. This parameter transformation allows the use of efficient linear algebra operations and pre-computed system matrices, dramatically reducing computational complexity while maintaining adequate prediction accuracy for control applications
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables precise temperature prediction and control, improving torque transfer efficiency and fuel economy by addressing thermal variations in dry dual clutch transmissions.
Implementation Method 1
calculates at least one clutch plate temperature and a clutch housing temperature based on the first clutch slip power, the second clutch slip power, the ambient air temperature, the engine oil temperature, and the transmission oil temperature using a linear time-invariant (LTI) model
Data Source
AI summary
A clutch temperature prediction module for a dual clutch transmission (DCT) includes at least one clutch slip power module that determines a first clutch slip power of a first clutch and a second clutch slip power of a second clutch. A temperature calculation module receives the first clutch slip power, the second clutch slip power, an ambient air temperature, an engine oil temperature, and a transmission oil temperature, and calculates at least one clutch plate temperature and a clutch housing temperature based on the first clutch slip power, the second clutch slip power, the ambient air temperature, the engine oil temperature, and the transmission oil temperature using a linear time-invariant (LTI) model.