Predictive Temperature Regulation for Thermistor-Limited Power Supplies
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Solution Overview
Problem
Existing temperature control systems for power supply devices suffer from inaccurate temperature sensing due to large current flow affecting thermistor precision, leading to potential abnormal operation and reduced service life.
Innovation Solution
A temperature control system with a temperature detection module, control module, and adjustment module that uses a temperature prediction model to anticipate future temperature changes and adjust device temperature accordingly, incorporating heating and cooling units for precise temperature management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a thermistor is used to detect temperature in a power supply device, then the temperature can be obtained, but when large current flows through the thermistor it affects sampling precision and the thermistor cannot quickly sense temperature change
Solution Approach 1:
The patent uses a temperature prediction model to predict future temperature values before actual temperature changes occur. By predicting temperature trends in advance, the system compensates for the delayed and inaccurate temperature sensing caused by large current effects on the thermistor, ensuring reliable temperature control without waiting for the thermistor to respond.
Solution Approach 2:
The patent introduces a temperature prediction model as an intermediary between the thermistor and the temperature control system. This model processes the delayed thermistor signals and generates predicted temperature values that accurately reflect actual temperature conditions, mediating the information gap caused by the thermistor's slow response under large current conditions.
2Temperature
If traditional temperature control methods are used with radiating fins or air-cooled radiators, then heat dissipation can be achieved, but the temperature stability is insufficient and service life is reduced
Solution Approach 1:
The patent implements a closed-loop feedback control system that continuously monitors temperature, predicts future temperature values using a prediction model, and adjusts heating or cooling actions accordingly. This feedback mechanism ensures optimal temperature stability, preventing both overheating and excessive cooling, thereby extending the service life of the power supply device while maintaining effective heat dissipation.
Solution Approach 2:
The system performs preliminary temperature prediction to anticipate future temperature conditions before they actually occur. This allows the control system to take preventive heating or cooling actions in advance, maintaining optimal temperature stability and preventing temperature extremes that would reduce service life, rather than merely reacting to temperature changes after they occur.
3Measurement precision
If the thermistor responds slowly to temperature changes, then the obtained temperature is inaccurate, but using faster response devices may increase system complexity
Solution Approach 1:
The patent replaces the purely physical thermistor-based temperature detection system with a hybrid system that incorporates a temperature prediction model using mathematical algorithms. This substitution transforms the slow mechanical/physical response of the thermistor into a faster computational prediction process, improving measurement accuracy without requiring complex hardware modifications or faster-response temperature sensors.
Data Source
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AI summary
A temperature control system for a device and a temperature control method, the control method includes: a temperature detection module (1), a temperature control module (2), and a temperature adjustment module (3). The temperature detection module (1) is configured to detect and obtain a temperature of at the current moment the device. The temperature control module (2) is configured to obtain a predicted temperature at the next moment based on the temperature at the current moment and a temperature prediction model, and to output a temperature adjustment instruction to the temperature adjustment module (3) based on the predicted temperature at the next moment and a temperature threshold. The temperature adjustment module (3) is configured to adjust a temperature of the device based on the temperature adjustment instruction. The temperature prediction model is pre-obtained. The temperature control method improves the temperature stability of the device during operation and ensures the electric energy conversion efficiency of the device.