Dynamic Thermal Management for Information Handling Systems
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Solution Overview
Problem
Current thermal management systems in information handling systems often lack sufficient input parameters to accurately determine the thermal health of components like PCI and I/O cards, leading to inefficient cooling and increased power consumption, as they typically rely on static airflow settings that assume worst-case scenarios.
Innovation Solution
A system with temperature sensors and a thermal manager that estimates thermal conditions based on power consumption and airflow requirements, dynamically adjusting cooling fan speeds to provide precise airflow velocities and rates, ensuring efficient cooling while minimizing power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static airflow settings are used to cool I/O cards, then thermal control is simplified, but power consumption increases due to worst-case assumptions
Solution Approach 1:
The patent implements dynamic airflow control by transitioning from static airflow settings to a system that continuously adjusts fan speeds based on real-time thermal conditions. The thermal manager monitors temperature data from multiple sensors and dynamically modifies cooling parameters, enabling the system to adapt cooling intensity to actual thermal needs rather than maintaining constant worst-case cooling levels.
Solution Approach 2:
The system changes the parameter of airflow velocity from a fixed static value to a dynamic variable that adjusts based on thermal conditions. By modifying airflow parameters in response to temperature readings and power consumption data, the system optimizes cooling efficiency while reducing energy waste associated with excessive airflow.
2Reliability
If more airflow is used to cool I/O cards, then thermal control reliability improves, but power consumption increases
Solution Approach 1:
The patent implements a feedback mechanism where temperature sensors continuously monitor thermal conditions of I/O cards and other components, and this data is fed back to the thermal manager. The thermal manager uses this feedback information to adjust airflow levels appropriately, ensuring reliable thermal control only when and where needed, rather than maintaining constant high airflow that wastes energy.
Solution Approach 2:
The system applies partial cooling action by providing airflow only to areas and components that actually require cooling based on real-time thermal data. Instead of applying excessive cooling uniformly across all components, the system targets cooling resources to specific hot spots, reducing overall power consumption while maintaining thermal reliability.
3Measurement precision
If manual configuration of cooling levels is required, then cooling precision may improve, but user experience deteriorates
Solution Approach 1:
The patent implements self-service thermal management by enabling the system to automatically monitor, analyze, and adjust its own cooling parameters without requiring user intervention. The thermal manager autonomously processes temperature data from sensors, determines appropriate cooling levels, and controls fan speeds, thereby maintaining precise thermal control while eliminating the complexity and risk associated with manual configuration.
Solution Approach 2:
The thermal manager acts as an intermediary between temperature sensors and cooling actuators (fans). It receives raw thermal data from sensors, processes this information along with power consumption data, and translates it into appropriate cooling commands. This intermediary layer enables precise thermal control while shielding users from the complexity of manual configuration.
4Measurement precision
If temperature sensors are added to all components, then thermal measurement precision improves, but device complexity increases
Solution Approach 1:
The patent applies universality by using a multi-functional thermal manager that can process data from various sensor types (temperature sensors, power consumption sensors) and control multiple cooling actuators. This single intelligent controller handles diverse thermal management tasks across different components, reducing the need for separate dedicated sensors and control systems for each component, thereby limiting the increase in overall system complexity.
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 allows for more precise thermal control, reducing waste energy and improving user experience by dynamically adjusting cooling based on real-time thermal data, even for components that do not report temperatures or have insufficient thermal data.
Implementation Method 1
a plurality of temperature sensors configured to sense temperatures at a plurality of locations associated with an information handling system
Implementation Method 2
a cooling subsystem comprising at least one cooling fan configured to generate a cooling airflow in the information handling system
Data Source
AI summary
A system may include a plurality of temperature sensors configured to sense temperatures at a plurality of locations associated with an information handling system, a cooling subsystem comprising at least one cooling fan configured to generate a cooling airflow in the information handling system, and a thermal manager communicatively coupled to the plurality of temperature sensors and the cooling subsystem. The thermal manager may be configured to, based on at least a power provided to a subsystem of the information handling system, estimate a thermal condition proximate to the subsystem, correlate each of a plurality of components of the subsystem and a linear airflow velocity requirement of the component to a respective speed of the at least one cooling fan required to provide such airflow requirement, and set a speed of the at least one cooling fan based on the respective speeds.