IP Library › Granted Patent US 11,726,507
Granted Patent B2
US 11,726,507 · App. 17/006,777 · Granted Aug 15, 2023

Compensation for internal power dissipation in ambient room temperature estimation

Inventors: Daniel Adam Warren (San Francisco, CA); Michael Mitchell (San Francisco, CA); Gwendolyn van der Linden (Mountain View, CA); Ford Rylander (Mountain View, CA); Brian Silverstein (Mountain View, CA); Arun Raghupathy (Pleasanton, CA)
Assignee: Google LLC
G05D23/32G01K1/20G05D23/1917
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Quick Facts
Patent No.
US 11,726,507
App. No.
17/006,777
Filed
Aug 28, 2020
Granted
Aug 15, 2023
Kind
B2
Art Unit
3763
USPC
236/100
Abstract

A smart-home device may include a temperature sensor, energy-consuming subsystems, and processors programmed to receive a temperature measurement from the temperature sensor for an ambient environment surrounding the temperature sensor; receive inputs from the energy-consuming subsystems that indicate power-consuming activities of the energy-consuming subsystems; providing the inputs from the energy-consuming subsystems to a model that is trained to calculate an effect of the power-consuming activity of the energy-consuming subsystems on the temperature measurement from the temperature sensor; and calculating an estimate of the temperature of the ambient environment by compensating the temperature measurement from the temperature sensor with using the effect of the power-consuming activity of the energy-consuming subsystems.

Claims (31)

1. A smart-home device comprising:

a temperature sensor;

one or more energy-consuming subsystems;

one or more processors programmed to perform operations comprising:

receiving a temperature measurement from the temperature sensor for an ambient environment surrounding the temperature sensor;

receiving one or more inputs from the one or more energy-consuming subsystems representative of a measured amount of electrical power being consumed by the one or more energy-consuming subsystems, wherein the one or more inputs comprises a measurement of an output of a voltage regulator representing an internal main power rail of the smart-home device, and the measurement is indicative of an overall power sourced from a power supply of the smart-home device and consumed by the smart-home device as a whole;

providing the one or more inputs from the one or more energy-consuming subsystems to a model that is trained to calculate an effect of power-consuming activity of the one or more energy-consuming subsystems on the temperature measurement from the temperature sensor, wherein the model comprises a thermal model of the smart-home device that models how heat from the one or more energy consuming subsystems affects the smart-home device; and

calculating an estimate of the temperature of the ambient environment by compensating the temperature measurement from the temperature sensor using the effect of the power-consuming activity of the one or more energy-consuming subsystems.

2. The smart-home device of claim 1 , wherein the smart-home device does not include additional temperature sensors in addition to the temperature sensor.

3. The smart-home device of claim 1 , wherein the model is executed by the smart-home device.

4. The smart-home device of claim 1 , wherein the model is executed by a server that is in communication with the smart-home device.

5. The smart-home device of claim 1 , wherein the smart-home device comprises a thermostat.

6. The smart-home device of claim 1 , wherein the smart-home device comprises a digital home assistant.

7. The smart-home device of claim 1 , wherein the thermal model comprises thermal masses and thermal resistances between thermal volumes inside the smart-home device.

8. The smart-home device of claim 1 , wherein the measured amount of electrical power being consumed by the one or more energy-consuming subsystems comprises an average current measurement from the main power rail.

9. The smart-home device of claim 1 , wherein the measured amount of electrical power being consumed by the one or more energy-consuming subsystems comprises devices represents an amount of energy converted to heat by the one or more energy-consuming subsystems, which heat affects the temperature measurement from the temperature sensor.

10. The smart-home device of claim 1 , wherein the one or more energy-consuming subsystems comprises a solid-state switching circuit that switches a power supply from an external environmental system.

11. The smart-home device of claim 1 , wherein the one or more inputs from the one or more energy-consuming subsystems comprises a record of commands sent from the processor to the at least one of the one or more energy-consuming subsystems indicating when the at least one of the one or more energy-consuming subsystems was operating.

12. The smart-home device of claim 1 , wherein the one or more inputs from the one or more energy-consuming subsystems comprises records from a performance monitor that is integrated with at least one of the one or more energy-consuming subsystems.

13. The smart-home device of claim 1 , wherein the one or more inputs from the one or more energy-consuming subsystems comprises a current measurement from an internal telemetry system of at least one of the one or more energy-consuming subsystems.

14. A method of estimating ambient temperatures to compensate for internal heating, the method comprising:

receiving a temperature measurement from a temperature sensor for an ambient environment surrounding the temperature sensor;

receiving one or more inputs from one or more energy-consuming subsystems representative of a measured amount of electrical power being consumed by the one or more energy-consuming subsystems, wherein the one or more inputs comprises a measurement of an output of a voltage regulator representing an internal main power rail of a smart-home device, and the measurement is indicative of an overall power sourced from a power supply of the smart-home device and consumed by the smart-home device as a whole;

providing the one or more inputs from the one or more energy-consuming subsystems to a model that is trained to calculate an effect of power-consuming activity of the one or more energy-consuming subsystems on the temperature measurement from the temperature sensor, wherein the model comprises a thermal model of the smart-home device that models how heat from the one or more energy consuming subsystems affects the smart-home device; and

calculating an estimate of the temperature of the ambient environment by compensating the temperature measurement from the temperature sensor using the effect of the power-consuming activity of the one or more energy-consuming subsystems.

15. The method of claim 14 , wherein the model comprises an estimator that receives the one or more inputs from the one or more energy-consuming subsystems and the temperature measurement from the temperature sensor and provides the estimate of the temperature of the ambient environment.

16. The method of claim 15 , further comprising generating the estimator by training the thermal model of a smart-home device that houses the temperature sensor.

17. The method of claim 16 , further comprising generating the estimator by augmenting the thermal model with an integrator that acts as an ambient temperature input for the thermal model.

18. The method of claim 14 , wherein the temperature sensor and the one or more energy-consuming subsystems are part of a smart-home device.

19. The method of claim 14 , wherein the main power rail monitor comprises an integrator that counts a number of integration cycles performed during a time interval.

20. The method of claim 14 , wherein the model is executed by a cloud-based server system.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 13, 2020
From: WARREN, DANIEL ADAM; MITCHELL, MICHAEL; VAN DER LINDEN, GWENDOLYN; RYLANDER, FORD; SILVERSTEIN, BRIAN; RAGHUPATHY, ARUN
To: GOOGLE LLC
Reel/Frame 053754/0004 →
Continuity (1)
Related Publication 20220066484A1 · Mar 3, 2022
Cited By (1)
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