Ambient Temperature Estimation from Device Power Consumption
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Solution Overview
Problem
Existing methods for determining ambient temperature often require dedicated ambient temperature sensors and thermal isolation, which increase device weight, power consumption, and cost, and may not provide accurate estimates across varying power consumption levels and device designs.
Innovation Solution
Estimating ambient temperature using a machine learning model trained on operational temperature and power consumption data from device components, eliminating the need for dedicated sensors and thermal isolation, and providing accurate estimates across a wide range of power consumptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated ambient temperature sensors and thermal isolation are used, then ambient temperature measurement accuracy is improved, but device weight increases
Solution Approach 1:
The patent extracts the ambient temperature sensing function from dedicated temperature sensors and thermal isolation structures, and integrates it into the existing power consumption measurement system. By taking out the separate sensing components and embedding the temperature estimation function within the processor that already measures power consumption, the solution eliminates the need for additional hardware while maintaining measurement capability.
Solution Approach 2:
The patent makes the power consumption measurement system multi-functional by enabling it to perform both its original function (measuring device power consumption) and a new function (estimating ambient temperature). The same processor and measurement infrastructure are used for dual purposes, eliminating the need for dedicated temperature sensing components and reducing device weight.
2Measurement precision
If dedicated ambient temperature sensors and thermal isolation are used, then ambient temperature measurement accuracy is improved, but device power consumption increases
Solution Approach 1:
The power consumption measurement system is made multi-functional to simultaneously measure device power consumption and estimate ambient temperature. By using the same measurement infrastructure for both purposes, the patent avoids the additional power consumption that would result from operating separate temperature sensors and thermal isolation systems.
Solution Approach 2:
The temperature sensing function is extracted from dedicated hardware components and integrated into the existing power measurement processing system. This extraction eliminates the need for separate sensor operation and data processing, thereby reducing overall device power consumption while maintaining temperature measurement capability.
3Measurement precision
If dedicated ambient temperature sensors and thermal isolation are used, then ambient temperature measurement accuracy is improved, but device cost increases
Solution Approach 1:
The patent makes the existing power consumption measurement system multi-functional, enabling it to also estimate ambient temperature. This approach eliminates the need to manufacture and assemble dedicated temperature sensors and thermal isolation components, thereby reducing device cost while maintaining measurement accuracy.
Solution Approach 2:
The temperature measurement function is extracted from separate hardware components and integrated into the existing processor system. This extraction removes the need for additional manufacturing steps, component sourcing, and assembly operations, leading to cost reduction while preserving measurement capability.
4Measurement precision
If thermal isolation is used, then ambient temperature estimation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the power consumption measurement system multi-functional, enabling it to perform both power measurement and temperature estimation without adding thermal isolation structures. This functional integration reduces device complexity by eliminating separate thermal management components and simplifying the overall system architecture.
Solution Approach 2:
The temperature estimation function is extracted from the need for physical thermal isolation and integrated into the software/algorithms of the existing processor. This extraction removes complex thermal management hardware and simplifies the device structure while maintaining estimation accuracy through computational methods.
5Measurement precision
If dedicated temperature sensors are used, then temperature measurement capability is improved, but adaptability across varying power consumption levels decreases
Solution Approach 1:
The power consumption measurement system is made multi-functional to enable temperature estimation that adapts to varying power consumption levels. The same system that measures power consumption across different operational states also estimates temperature, providing adaptability across the full range of device power consumption without requiring separate temperature sensing pathways.
Solution Approach 2:
The patent uses parameter changes in the power consumption measurement data to infer temperature variations. By monitoring how power consumption parameters change under different thermal conditions, the system adapts to varying power consumption levels and extracts temperature information dynamically, providing versatility across different operational states.
Data Source
AI summary
Techniques for estimating an ambient temperature based on a device power consumption are described. In an example, a system determines first data that indicates an operational temperature of a device, the first data generated by a sensor of the device. The system determines second data that indicates a power consumption of the device. Based at least in part on the first data and the second data, the system determines an ambient temperature of an external environment of the device.