Estimating and preserving battery life based on usage patterns

• US 10,409,355 B2
• Filed: 03/10/2017
• Issued: 09/10/2019
• Est. Priority Date: 06/07/2011
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Flores Assad, Javier N., Saba, Maher Afif, Apostolopoulos, Pantelis, Deschamps, Daniel Guilherme Paixao, Calinov, Iulian D., Thapanakul, Wanittha
• Primary Examiner(s): Elamin, Abdelmoniem I
• Application Number:
  US15/456,463
• Publication Number:
  US 20170249004A1
• Time in Patent Office: 914 Days
• CPC Class Codes: G06F 1/3212 Monitoring battery levels, e.g. power saving mode being initiated when battery voltage goes below a certain level
• CPC Class Codes: G06F 1/325 Power saving in peripheral device
• CPC Class Codes: G06F 1/329 by task scheduling
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

Embodiments apply user-specific usage patterns to estimate and preserve remaining battery life on a computing device. An amount of battery drain and an execution context are determined and stored for a plurality of recurring time periods. The execution context identifies operations executed by the computing device, signal strength, and other data describing the associated time period. If one of the operations is expected to be executed during a recurrence of at least one of the time periods, the expected execution is adjusted based on execution context and an estimated remaining battery life for the computing device. For example, the computing device may postpone or reschedule the operation for a time period during which the operation is expected to have a greater likelihood of completing successfully. In some embodiments, the battery preservation operations are automatically enabled at a particular threshold.

Claims

1. A system comprising:

a processor and;

a memory area associated with a computing device, said memory storing executable program instructions which when executed cause the processor to;

determine data usage statistics relating to an identified time period;

select one or more battery records from a plurality of battery records to store the determined data usage statistics, the one or more battery records being selected based on the identified time period;

update each of the selected one or more battery records with the determined data usage statistics, wherein the updated battery records represent a usage pattern for use when estimating and preserving battery life;

determine a current battery level for the computing device; and

manage power consumption of the computing device based on the current battery level and one or more of the following;

previous battery levels, and previous battery drain rates.

2. The system of claim 1, wherein the executable program instructions further cause the processor to:

identify an expected execution of at least one operation during the identified time period; and

automatically adjust the identified expected execution of the at least one operation based on an estimated remaining battery life for the computing device and the execution context.

3. The system of claim 1, wherein the executable program instructions further cause the processor to:

estimate future battery life based on previous battery levels; and

wherein managing power consumption of the computing device comprises managing power consumption of the computing device based on the current battery level and one or more of the following;

the predicted future battery levels, and the previous battery drain rates.

4. The system of claim 2, wherein the estimated remaining battery life is specific to a particular user and is calculated based on a regular activity of the particular user.

5. The system of claim 2, wherein managing power consumption of the computing device comprises enabling execution of the at least one operation based on the current battery level and one or more of the following:

the previous battery levels, and the previous battery drain rates.

6. The system of claim 1, wherein the memory area represents cloud storage, and wherein the executable program instructions further cause the processor to predict a battery drain by estimating, based on the selected one or more battery records stored in the cloud storage, a remaining battery life for the computing device.

7. The system of claim 1, wherein the previous battery drain represents a linear approximation of a battery discharge rate observed during one of a plurality of recurring time periods.

8. The system of claim 2, wherein managing power consumption of the computing device comprises enabling the execution of the at least one operation during the particular period of time or delaying the execution of the at least one operation until another period of time based on the current battery level and one or more of the following:

the previous battery levels, and the previous battery drain rates.

9. The system of claim 1, wherein the executable program instructions further cause the processor to calculate a rolling average of a battery drain based on a plurality of battery records stored in the memory area, and predict the battery drain for the computing device during a recurrence of one of a plurality of recurring time periods based on the calculated rolling average of the battery drain.

10. The system of claim 1, wherein the executable program instructions further cause the processor to analyze a plurality of battery records stored in the memory area to identify one or more operations having an amount of battery drain exceeding a pre-defined threshold.

11. The system of claim 1, wherein the executable program instructions further cause the processor to analyze plurality of battery records stored in the memory area to identify one or more recurring time periods during which operations have a success rate exceeding a pre-defined threshold.

12. A method comprising

detecting a change in a battery level associated with a computing device;

identifying an execution context upon detecting the change;

updating battery records with the change,

determining a current battery level for the computing device; and

managing power consumption of the computing device based on the current battery level and one or more of the following;

previous battery levels of the computing device, and previous battery drain rates of the computing device.

13. The method of claim 12, further comprising detecting when the current battery level is less than a pre-defined threshold and then automatically enabling battery preservation operations, wherein the battery preservation operations are automatically suspended when the current battery level is more than the pre-defined threshold.

14. The method of claim 12, further comprising

predicting future battery drain rates based on the previous battery drain rates;

and

wherein managing power consumption of the computing device comprises managing power consumption of the computing device based on the current battery level and one or more of the following;

the previous battery levels, and the predicted future battery drain rates.

15. The method of claim 12, wherein one or more of the battery records are defined by the computing device for each of a plurality of recurring time periods, each of the one or more of the battery records including an amount of battery drain and a corresponding, execution context.

16. The method of claim 12, further comprising calculating power consumption for an operation based on the battery records to create a power consumption profile for the operation.

17. The method of claim 12, further comprising analyzing the battery records to produce power consumption profiles for a plurality of users or a plurality of geographical areas.

18. A computer storage media comprising computer executable instructions that when executed by a processor perform operations comprising:

detecting a change in a battery level for a computing device;

identifying an execution context upon detecting the change;

updating battery records with the change in the battery level;

determining a current battery level for a computing device; and

managing power consumption of the computing device based on the current battery level and one or more of the following;

previous battery levels of the computing device, and previous battery drain rates of the computing device.

19. The computer storage media of claim 18, wherein the computer executable instructions, when executed by the processor, further perform operations comprising:

identifying at least one of a plurality of recurring time periods during which the computing device is charged;

calculating an estimated remaining battery life; and

notifying a user of the computing device upon determining that the calculated, estimated remaining battery life is insufficient to last until a recurrence of said at least one of the plurality of recurring time periods.

20. The computer storage media of claim 18, wherein the computer executable instructions, when executed by the processor, further perform operations comprising determining a probability of the computing device being able to meet an expected discharge until a next expected charge cycle.