Transmission Friction Element Heat Load Mapping Across Shift Phases
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Solution Overview
Problem
Existing heat load estimation devices for friction engaging elements in transmissions lack accuracy in estimating temperature, heat generation, and seizure presence due to simplified models that do not account for varying operational states during shifting.
Innovation Solution
A heat load estimation device and method that utilize mapping data with input variables like relative rotation speed and hydraulic pressure, and change execution modes based on shifting phases, including specific periods like torque phase, inertia phase, and pack clearance states, to accurately calculate heat load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a simplified heat load estimation model is used, then the device complexity is reduced, but the measurement precision of heat load estimation deteriorates
Solution Approach 1:
The shifting process is segmented into multiple distinct phases (torque phase, inertia phase, synchronization phase), and a separate estimation model is constructed for each phase. This segmentation allows each model to be optimized for its specific phase characteristics, improving overall estimation accuracy without requiring an overly complex unified model.
Solution Approach 2:
The estimation system dynamically switches between different models based on the current shifting phase. By detecting which phase is active and selecting the corresponding optimized model, the system achieves high measurement precision across all phases while keeping individual models relatively simple.
2Device complexity
If a single estimation model is used for all shifting phases, then the device complexity is reduced, but the measurement precision deteriorates due to varying operational states
Solution Approach 1:
Different estimation models use different parameter sets optimized for their respective phases. For example, the torque phase model emphasizes hydraulic pressure and engagement force parameters, while the inertia phase model focuses on rotation speed and friction parameters. This parameter customization for each phase improves accuracy without requiring a single overly complex model structure.
Solution Approach 2:
The estimation process is divided into phase-specific segments, each with its own model. This segmentation allows each model to focus on the dominant heat generation mechanisms of its phase, improving precision while keeping individual models manageable in complexity.
3Measurement precision
If phase-specific estimation models are used, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The system automatically detects the current shifting phase and selects the appropriate model without external intervention. This self-service mechanism manages the complexity of having multiple models by making the model selection process autonomous and integrated into the estimation system itself.
Solution Approach 2:
The system uses feedback from phase detection mechanisms to dynamically select and switch between models. This feedback loop ensures that the most appropriate model is always active, improving measurement precision while the automated feedback mechanism manages the complexity of the multi-model system.
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
Enables precise estimation of heat load by considering the dynamic changes in the friction engaging element's state during shifting, improving accuracy and reducing errors compared to single-model approaches.
Implementation Method 1
the higher the relative rotation speed between members of the friction engaging element that rotate relative to each other, the larger the heat generation amount of the friction engaging element
Data Source
AI summary
A heat load estimation device for a friction engaging element that estimates a heat load when at least one of a temperature, a heat generation amount, and presence or absence of seizure in the friction engaging element at a time of shifting of the transmission is regarded as the heat load, includes a storage device and an execution device. The storage device stores mapping data defining mapping. The mapping includes, as an input variable, a speed variable that is a variable indicating a relative rotation speed of members of the friction engaging element and a hydraulic pressure variable that is a variable indicating hydraulic pressure during the shifting of the transmission, and includes, as an output variable, the heat load. The execution device executes a calculation process for calculating a value of the output variable and a change process for changing an execution mode of the calculation process.


