Display Device Temperature Prediction Using Heat Transfer Coefficients
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Solution Overview
Problem
Display devices face inaccuracies in temperature prediction due to neglecting heat transfer effects, leading to non-uniform luminance across the display panel.
Innovation Solution
A display device with a timing controller that determines target temperatures for panel blocks based on average luminance, calculates temperature changes using block temperature coefficients, and compensates input image data by considering heat transfer between adjacent blocks, including the application of a low pass filter to refine temperature predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If temperature prediction is performed without considering heat transfer, then calculation complexity is reduced, but temperature prediction accuracy deteriorates
Solution Approach 1:
The display panel is divided into multiple panel blocks (first panel block and second panel blocks) that are adjacent to each other. Each panel block has its own temperature prediction model that considers heat transfer from adjacent blocks. This segmentation allows the system to account for spatial heat transfer effects without requiring a single complex global model, thus improving accuracy while keeping individual calculations manageable.
Solution Approach 2:
The temperature prediction system uses feedback from adjacent panel blocks to improve prediction accuracy. The heat transfer coefficient for each panel block is determined based on the target temperatures of adjacent blocks, creating a feedback mechanism where neighboring block temperatures influence the current block's prediction. This feedback loop captures heat transfer effects dynamically without requiring exhaustive calculations.
2Measurement precision
If heat transfer effects are considered in temperature prediction, then temperature prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies local quality by determining heat transfer coefficients specifically for adjacent panel blocks based on their target temperatures. Each panel block's temperature prediction is optimized locally by considering only its immediate neighbors rather than the entire display panel. This localized approach captures heat transfer effects where they matter most while avoiding the complexity of a global heat transfer model.
Solution Approach 2:
The system dynamically adjusts the heat transfer coefficient parameter based on the target temperatures of adjacent panel blocks. When temperature differences between adjacent blocks are large, the heat transfer coefficient increases to account for greater heat flow. This parameter adaptation allows the model to respond to actual thermal conditions without requiring a fixed complex structure.
3Measurement precision
If block temperature coefficient is increased to account for larger temperature differences, then temperature prediction accuracy is improved, but luminance uniformity may deteriorate
Solution Approach 1:
The block temperature coefficient is made dynamic rather than fixed. It changes based on the temperature differences between adjacent panel blocks and their target temperatures. This dynamic adjustment ensures that heat transfer effects are strongly accounted for when temperature gradients are large (improving accuracy) but don't过度 compensate when temperature differences are small (maintaining luminance uniformity).
Solution Approach 2:
The system uses feedback from actual temperature differences between adjacent blocks to adjust the block temperature coefficient. When the predicted temperature of a panel block differs significantly from its target temperature or from adjacent blocks, the coefficient is adjusted to correct this discrepancy. This feedback mechanism prevents over-compensation that would cause luminance non-uniformity while still capturing necessary heat transfer effects.
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
This approach enhances the accuracy of temperature prediction and luminance uniformity by accounting for heat transfer between panel blocks, thereby improving the display's overall image quality.
Implementation Method 1
the temperature at each position of the display panel may be affected by heat transfer (i.e., Newton's law of cooling)
Data Source
AI summary
A display device determines a target temperature based on an average luminance of each of the panel blocks, calculates a temperature change amount of each of the panel blocks by multiplying a difference between the target temperature and a previous prediction temperature of each of the panel blocks determined before a reference period by a block temperature coefficient of the panel blocks, and calculates a current prediction temperature of each of the panel blocks by adding the temperature change amount of each of the panel blocks to the previous prediction temperature of each of the panel blocks, the panel blocks include a first panel block and second panel blocks adjacent to the first panel block, and the block temperature coefficient of the first panel block is determined based on the target temperature of the first panel block and the target temperature of each of the second panel blocks.


