Predictive Pre-Cooling for Dynamic Electrical System Loads
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Solution Overview
Problem
Existing cooling systems for electrical components and machines are inefficient, costly, and resource-wasting due to static operation designs, especially during dynamic conditions, and require complex materials and manufacturing processes.
Innovation Solution
A method involving predictive load profiling to estimate required cooling capacity and pre-cooling the system before the next load case using chemical, electrical, or mechanical means to optimize heat dissipation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cooling systems are designed for static operation to ensure adequate cooling under extreme temperature conditions, then reliability is improved, but resource waste increases due to oversized cooling capacity during dynamic operation
Solution Approach 1:
The cooling system transitions from static to dynamic operation by continuously adjusting cooling capacity based on real-time temperature measurements and predictive load profiling. The control unit modifies cooling output dynamically to match actual thermal demands, ensuring reliability during peak loads while avoiding energy waste during low-demand periods
Solution Approach 2:
The system performs preliminary cooling actions by predicting future load cases and pre-cooling components before peak thermal demands occur. This proactive approach allows the system to prepare adequate cooling capacity in advance, maintaining reliability without requiring continuously oversized cooling infrastructure
2Temperature
If expensive thermally conductive ceramics such as aluminum nitride are used as insulating layers, then thermal conductivity is improved, but device complexity and manufacturing costs increase
Solution Approach 1:
The patent shifts from material-based thermal management to parameter-based control by using advanced cooling strategies, predictive load profiling, and real-time temperature monitoring. This allows achieving effective thermal management through optimized operational parameters rather than relying on expensive specialized materials
Solution Approach 2:
The system replaces passive thermal management through specialized materials with active thermal management through controlled cooling processes. The control unit dynamically adjusts cooling parameters to achieve thermal performance previously requiring expensive materials, substituting material properties with process control
3Temperature
If large quantities of metal and complex manufacturing processes such as pressing cooling fins into extruded coolers are used, then cooling effectiveness is improved, but manufacturing costs and device complexity increase
Solution Approach 1:
The patent achieves improved cooling effectiveness through optimized cooling parameters and predictive control strategies rather than through complex manufacturing processes. By controlling cooling capacity dynamically based on predicted load profiles, the system achieves superior thermal performance with simpler, more manufacturable cooling components
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
Enhances cooling efficiency, reduces maximum temperatures, extends system lifespan, and conserves resources by dynamically adjusting cooling based on predicted load profiles.
Implementation Method 1
pre-cooling is carried out by means of a chemical cooling component comprising at least one substance to be dissolved and a solvent whose enthalpy of solution is positive, by adding a portion of the substance to be dissolved to the solvent
Implementation Method 2
pre-cooling is carried out by means of an electrical cooling component, in particular by means of a piezoelectric element
Implementation Method 3
pre-cooling is carried out by means of an electrical cooling component, in particular by means of a piezoelectric element, a Peltier element
Data Source
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AI summary
A method and device for cooling an electrical system (10) is proposed, comprising recording a temporal prediction of a load profile, calculating a required maximum cooling capacity in the next load case, and increasing the cooling capacity of a cooling system by pre-cooling the cooling component (12) of the cooling system at a predeterminable time interval before the next load case.