AGGREGATING MOBILE DEVICE BATTERY LIFE DATA

• US 20120022818A1
• Filed: 09/30/2011
• Published: 01/26/2012
• Est. Priority Date: 06/02/2010
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Shirriff, Ken, Egnor, Dan, Parks, Jason
• Granted Patent: US 8,538,712 B2
• Time in Patent Office: Days
• US Class Current: 702/63
• CPC Class Codes: G01R 31/371 with remote indication, e.g. on external chargers
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health

Abstract

Battery life data may be collected from a number of mobile devices. The battery life data for each of the mobile devices may be correlated with one or more characteristics of each of the mobile devices. The battery life data for the mobile devices may be aggregated based on at least one of the one or more characteristics. In some examples, a report of the aggregated battery life data for the mobile devices including at least one common characteristic is generated.

Claims

1. A method comprising:

collecting battery life data from each of a plurality of mobile devices;

correlating, by a computing device, the battery life data collected from each of the mobile devices with one or more characteristics of each of the mobile devices; and

aggregating, by the computing device, the battery life data collected from each of the mobile devices based on at least one of the one or more characteristics.

2. The method of claim 1, wherein the one or more characteristics comprises at least one of device model and software build.

3. The method of claim 2, wherein aggregating the battery life data comprises aggregating battery life data for all of the mobile devices comprising at least one of a common device model and a common software build.

4. The method of claim 3, further comprising generating a report of the aggregated battery life data collected from each of the mobile devices comprising at least one of the common device model and the common software build.

5. The method of claim 4, wherein the report comprises a histogram that represents one or more proportions of the mobile devices comprising at least one of the common device model and the common software build falling into one or more respective battery life ranges.

6. The method of claim 1, wherein the one or more characteristics comprises at least one usage pattern.

7. The method of claim 6, wherein the at least one usage pattern comprises at least one of an amount of network data traffic over a time period, an amount of time the mobile device is in a first state over a time period, a number of external network connection attempts over a time period, a number of application errors over a time period, a number of application synchronizations over a time period, or an amount of time a display of the mobile device is on over a period of time.

8. The method of claim 6, wherein aggregating the battery life data comprises aggregating the battery life data for all of the mobile devices comprising a common usage pattern.

9. The method of claim 8, further comprising generating a report of the aggregated battery life data for the mobile devices comprising the common usage pattern.

10. The method of claim 9, wherein the report comprises a linear regression of percentage of battery life versus time for the mobile devices comprising the common usage pattern.

11. The method of claim 1 further comprising calculating an estimated battery life for each of the mobile devices based on the battery life data collected from each of the mobile devices.

12. The method of claim 11, wherein the estimated battery life is equal to 100 multiplied by a ratio of a difference between a last time included in the battery life data and a first time included in the battery life data to a difference between a battery charge as a percentage of fully charged at the first time and a battery charge as a percentage of fully charged at the last time.

13. A system comprising:

a database configured to store battery life data collected from each of a plurality of mobile devices via a communication network; and

means for correlating the battery life data collected from each of the mobile devices with one or more characteristics of each of the mobile devices; and

means for aggregating the battery life data collected from each of the mobile devices based on at least one of the one or more characteristics.

14. The system of claim 13, wherein the one or more characteristics comprises at least one of device model and software build.

15. The system of claim 14, wherein the means for aggregating is configured to aggregate battery life data for all of the mobile devices comprising at least one of a common device model and a common software build.

16. The system of claim 15, further comprising a means for generating a report of the aggregated battery life data for the mobile devices comprising at least one of the common device model and the common software build.

17. The system of claim 16, wherein the report comprises a histogram that represents one or more proportions of the mobile devices comprising at least one of the common device model and the common software build falling into one or more respective battery life ranges.

18. The system of claim 13, wherein the one or more characteristics comprises at least one usage pattern.

19. The system of claim 18, wherein the at least one usage pattern comprises at least one of an amount of network data traffic over a time period, an amount of time the mobile device is in a first state over a time period, a number of external network connection attempts over a time period, a number of application errors over a time period, a number of application synchronizations over a time period, and an amount of time a display of the mobile device is on over a period of time.

20. The system of claim 18, wherein the means for aggregating is configured to aggregate battery life data for all of the mobile devices comprising a common usage pattern.

21. The system of claim 20, further comprising a means for generating a report of the aggregated battery life data for the mobile devices comprising the common usage pattern.

22. The system of claim 21, wherein the report comprises a linear regression of percentage of battery life versus time for the mobile devices comprising the common usage pattern.

23. The system of claim 13, wherein at least one of the means for correlating and the means for aggregating comprises a processor.

24. The system of claim 13 further comprising means for calculating an estimated battery life for each of the mobile devices based on the battery life data collected from each of the mobile devices.

25. The method of claim 24, wherein the estimated battery life is equal to 100 multiplied by a ratio of a difference between a last time included in the battery life data and a first time included in the battery life data to a difference between a battery charge as a percentage of fully charged at the first time and a battery charge as a percentage of fully charged at the last time.

26. A computer readable storage medium comprising instructions for causing a programmable processor to:

collect battery life data from each of a plurality of mobile devices;

correlate the battery life data collected from each of the mobile devices with one or more characteristics of each of the mobile devices; and

aggregate the battery life data collected from each of the mobile devices based on at least one of the one or more characteristics.