Cooling Control with Failure Prediction for Electronic Thermal Management
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Solution Overview
Problem
The increasing power dissipation and heat production in electronic devices, particularly in high-frequency and densely packed CMOS circuits, pose significant challenges for thermal management, as traditional air-cooling methods may not be sufficient to maintain device junction temperatures within safe limits, potentially leading to thermal runaway conditions.
Innovation Solution
A cooling system that monitors operational variables over time and adjusts its control to limit temperature variations, using a modular refrigeration unit with controllable expansion valves and PID control loops to maintain desired temperatures, and includes predictive failure analysis for proactive maintenance and replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If traditional air-cooling methods are used, then the cooling system is simple, but the temperature control effectiveness is insufficient for high-power devices
Solution Approach 1:
The patent transitions from air-cooling to liquid-cooling systems, using cooling liquids (water or refrigerants) in direct or indirect contact with electronic components. This hydraulic cooling approach provides superior heat removal capability for high-power devices while maintaining system simplicity through standardized cooling loops and heat exchangers.
2Stability of the object's composition
If cooling system control is adjusted frequently, then temperature stability is improved, but system wear and failure risk increase
Solution Approach 1:
The patent implements dynamic control of cooling systems by continuously monitoring operational variables and adjusting cooling parameters in real-time. The system adapts cooling capacity to match actual thermal demands, maintaining temperature stability while minimizing unnecessary adjustments that would increase system wear and reduce reliability.
Solution Approach 2:
The patent employs feedback control mechanisms where operational variables are monitored and used to determine whether control adjustments are necessary. This feedback loop ensures temperature stability is maintained only when needed, avoiding excessive control actions that would compromise system reliability and increase maintenance requirements.
3Reliability
If proactive cooling system monitoring and replacement is implemented, then system reliability is improved, but operational complexity increases
Solution Approach 1:
The patent implements proactive monitoring of cooling system operational variables to detect degradation trends before failure occurs. By monitoring parameters over time and identifying patterns indicating impending failure, the system enables scheduled maintenance and replacement activities, improving reliability while keeping the monitoring approach straightforward and focused on key indicators.
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 effectively manages temperature fluctuations, prevents thermal damage, and extends the lifespan of electronic components by proactively adjusting cooling systems and scheduling maintenance, thereby ensuring reliable operation and reducing the risk of thermal runaway.
Implementation Method 1
the cooling liquid may be in direct or indirect contact with the electronic component to be cooled
Implementation Method 2
An alternate approach to traditional air-cooling of electronic devices or components is to use a cooling liquid
Implementation Method 3
modular refrigeration unit with controllable expansion valves
Data Source
AI summary
Automated control of a cooling system cooling at least one electronic component is provided. The control includes monitoring over a period of time variation of an operational variable of the cooling system or of the at least one electronic component, and based, at least in part, on variation of the operational variable over the period of time, automatically determining whether to adjust control of the cooling system to limit variation of the operational variable. In one implementation, depending on the variation of the operational variable, and whether control of the cooling system has been previously adjusted, the method may further include automatically determining a probability of fail or an expected residual life of the cooling system, and responsive to the predicted probability of fail exceeding a first acceptable threshold or the expected residual life being below a second acceptable threshold, automatically scheduling for a cooling system repair or replacement.