Optimizing scheduled charging of battery enabled devices based on a predicted battery consumption factor for an area

• US 9,955,428 B1
• Filed: 10/24/2016
• Issued: 04/24/2018
• Est. Priority Date: 10/24/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bacarella, David J., Candes, Lawrence, Chen, Ying, Cohen, Aaron M., Mani, Ravi
• Primary Examiner(s): Heiber, Shantell L
• Application Number:
  US15/333,131
• Publication Number:
  US 20180115955A1
• Time in Patent Office: 547 Days
• Field of Search: None
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: H02J 7/00034 Charger exchanging data with an electronic device, i.e. telephone, whose internal battery is under charge
• CPC Class Codes: H02J 7/00045 Authentication, i.e. circuits for checking compatibility between one component, e.g. a battery or a battery charger, and another component, e.g. a power source
• CPC Class Codes: H02J 7/0013 acting upon several batteries simultaneously or sequentially H02J7/1423 takes precedence
• CPC Class Codes: H02J 7/005 Detection of state of health [SOH]
• CPC Class Codes: H04W 4/025 using location based information parameters
• CPC Class Codes: H04W 52/0258 controlling an operation mode according to history or models of usage information, e.g. activity schedule or time of day
• CPC Class Codes: H04W 88/02 Terminal devices
• CPC Class Codes: Y02B 40/00 Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

A power service receives, from one or more battery enabled mobile devices, battery usage information for one or more locations within an area. A power service identifies, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area. A power service predicts, based on the one or more battery usage impact factors for the area a predicted battery consumption factor in the area. A power service updates one or more user schedules of users with one or more events scheduled in the area with an alert identifying the predicted battery consumption factor in the area.

Claims

1. A method comprising:

receiving, by a computer system, from one or more battery enabled mobile devices, battery usage information for one or more locations within an area;

identifying, by the computer system, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area;

predicting, by the computer system, based on the one or more battery usage impact factors for the area a predicted battery consumption factor in the area;

filtering, by the computer system, one or more user schedules to identify a selection of user with one or more events scheduled in the area currently or at a future time;

analyzing, by the computer system, for each separate schedule of each of the selection of users, the one or more events scheduled in the area and the predicted battery consumption factor in the area to dynamically adjust one or more recommended charging times and charging locations for charging at least one separate battery enabled mobile device of each of the selection of users; and

outputting, by the computer system, for each of the selection of users, the adjusted one or more recommended charging times and charging locations to a separate scheduling service, the scheduling service for updating each separate schedule of each of the selection of users with the at least one event for the one or more recommended charging times and charging locations, each separate schedule output by the scheduling service to the at least one separate battery enabled mobile device via a network environment.

2. The method according to claim 1, wherein receiving, by the computer system, from the one or more battery enabled mobile devices, battery usage information for one or more locations within an area further comprises:

receiving, by the computer system, the battery usage information comprising one or more of a battery life, usage of one or more applications, historical usage for a current time period, a predicted time remaining, a current location, wireless network service access, cellular network service access, and a temperature.

3. The method according to claim 1, further comprising:

detecting, by the computer system, whether each of the one or more locations within the area is indoor or outdoor dependent upon elevation;

in response to detecting at least one outdoor location of the one or more locations, accessing, by the computer system, a current temperature for each at least one outdoor location in the area from a weather service, the weather service accessible via the wireless network, the weather service providing a current weather report of the current temperature detected for the at least one outdoor location;

in response to detecting at least one indoor location of the one or more locations, predicting, by the computer system, a current temperature for each at least one indoor location based on one or more previously reported temperatures for the at least one indoor location; and

storing, by the computer system, the current temperature with the battery usage information.

4. The method according to claim 1, wherein identifying, by the computer system, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area further comprises:

identifying, by the computer system, from the battery usage information, the one or more battery usage impact factors comprising a temperature for the area and the amount that the temperature exceeds a temperature threshold for the area.

5. The method according to claim 1, wherein identifying, by the computer system, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area further comprises:

identifying, by the computer system, from the battery usage information, the one or more battery usage impact factors comprising a wireless network access availability for the area.

6. The method according to claim 1, wherein identifying, by the computer system, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area further comprises:

identifying, by the computer system, from the battery usage information, the one or more battery usage impact factors comprising a cellular network access availability for the area and a strength of the cellular network access above a threshold for the area.

7. The method according to claim 1, wherein identifying, by the computer system, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area further comprises:

identifying, by the computer system, from the battery usage information, the one or more battery usage impact factors comprising a particular application access for the area and the amount of access of the application that exceeds a threshold for the area.

8. The method according to claim 1, further comprising:

comparing, by the computer system, the predicted battery consumption factor with a threshold;

in response to the predicted battery consumption factor exceeding the threshold;

detecting, by the computer system, from the battery usage information reported by the one or more battery enabled mobile devices, a selection of one or more users currently present in the area; and

outputting, by the computer system, an alert identifying the predicted battery consumption factor exceeding the threshold for the area to the separate scheduling service for each of the selection of one or more users present in the area.

9. A computer system comprising one or more processors, one or more computer-readable memories, one or more computer-readable storage devices, and program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:

program instructions to receive, from one or more battery enabled mobile devices, battery usage information for one or more locations within an area;

program instructions to identify, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area;

program instructions to predict, based on the one or more battery usage impact factors for the area a predicted battery consumption factor in the area;

program instructions to filter one or more user schedules to identify a selection of user with one or more events scheduled in the area currently or at a future time;

program instructions to analyze, for each separate schedule of each of the selection of users, the one or more events scheduled in the area and the predicted battery consumption factor in the area to dynamically adjust one or more recommended charging times and charging locations for charging at least one separate battery enabled mobile device of each of the selection of users; and

program instructions to output, for each of the selection of users, the adjusted one or more recommended charging times and charging locations to a separate scheduling service, the scheduling service for updating each separate schedule of each of the selection of users with the at least one event for the one or more recommended charging times and charging locations, each separate schedule output by the scheduling service to the at least one separate battery enabled mobile device via a network environment.

10. The computer system according to claim 9, wherein the program instructions to receive, from the one or more battery enabled mobile devices, battery usage information for one or more locations within an area further comprise:

program instructions to receive the battery usage information comprising one or more of a battery life, usage of one or more applications, historical usage for a current time period, a predicted time remaining, a current location, wireless network service access, cellular network service access, and a temperature.

11. The computer system according to claim 9, further comprising:

program instructions to detect whether each of the one or more locations within the area is indoor or outdoor dependent upon elevation;

in response to detecting at least one outdoor location of the one or more locations, program instructions to access a current temperature for each at least one outdoor location in the area from a weather service, the weather service accessible via the wireless network, the weather service providing a current weather report of the current temperature detected for the at least one outdoor location;

in response to detecting at least one indoor location of the one or more locations, program instructions to predict a current temperature for each at least one indoor location based on one or more previously reported temperatures for the at least one indoor location; and

program instructions to store the current temperature with the battery usage information.

12. The computer system according to claim 9, wherein the program instructions to identify, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area further comprise:

program instructions to identify, from the battery usage information, the one or more battery usage impact factors comprising a temperature for the area and the amount that the temperature exceeds a temperature threshold for the area.

13. The computer system according to claim 9, wherein the program instructions to identify, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area further comprise:

program instructions to identify, from the battery usage information, the one or more battery usage impact factors comprising a wireless network access availability for the area.

14. The computer system according to claim 9, wherein the program instructions to identify, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area further comprise:

program instructions to identify, from the battery usage information, the one or more battery usage impact factors comprising a cellular network access availability for the area and a strength of the cellular network access above a threshold for the area.

15. The computer system according to claim 9, wherein the program instructions to identify, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area further comprise:

program instructions to identify, from the battery usage information, the one or more battery usage impact factors comprising a particular application access for the area and the amount of access of the application that exceeds a threshold for the area.

16. The computer system according to claim 9, further comprising:

program instructions to compare the predicted battery consumption factor with a threshold;

in response to the predicted battery consumption factor exceeding the threshold;

program instructions to detect, from the battery usage information reported by the one or more battery enabled mobile devices, a selection of one or more users currently present in the area; and

program instructions to output an alert identifying the predicted battery consumption factor exceeding the threshold for the area to the separate scheduling service for each of the selection of one or more users present in the area.

17. A computer program product comprises a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a computer to cause the computer to:

receive, by the computer, from one or more battery enabled mobile devices, battery usage information for one or more locations within an area;

identify, by the computer, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area;

predict, by the computer, based on the one or more battery usage impact factors for the area a predicted battery consumption factor in the area;

filter, by the computer, one or more user schedules to identify a selection of user with one or more events scheduled in the area currently or at a future time;

analyze, by the computer, for each separate schedule of each of the selection of users, the one or more events scheduled in the area and the predicted battery consumption factor in the area to dynamically adjust one or more recommended charging times and charging locations for charging at least one separate battery enabled mobile device of each of the selection of users; and

output, by the computer, for each of the selection of users, the adjusted one or more recommended charging times and charging locations to a separate scheduling service, the scheduling service for updating each separate schedule of each of the selection of users with the at least one event for the one or more recommended charging times and charging locations, each separate schedule output by the scheduling service to the at least one separate battery enabled mobile device via a network environment.

18. The computer program product according to claim 17, further comprising the program instructions executable by a computer to cause the computer to:

receive, by the computer, the battery usage information comprising one or more of a battery life, usage of one or more applications, historical usage for a current time period, a predicted time remaining, a current location, wireless network service access, cellular network service access, and a temperature.

19. The computer program product according to claim 17, further comprising the program instructions executable by a computer to cause the computer to:

detect, by the computer, whether each of the one or more locations within the area is indoor or outdoor dependent upon elevation;

in response to detecting at least one outdoor location of the one or more locations, access, by the computer, a current temperature for each at least one outdoor location in the area from a weather service, the weather service accessible via the wireless network, the weather service providing a current weather report of the current temperature detected for the at least one outdoor location;

in response to detecting at least one indoor location of the one or more locations, predict, by the computer, a current temperature for each at least one indoor location based on one or more previously reported temperatures for the at least one indoor location; and

store, by the computer, the current temperature with the battery usage information.

20. The computer program product according to claim 17, further comprising the program instructions executable by a computer to cause the computer to:

compare, by the computer, the predicted battery consumption factor with a threshold;

in response to the predicted battery consumption factor exceeding the threshold;

detecting, by the computer, from the battery usage information reported by the one or more battery enabled mobile devices, a selection of one or more users currently present in the area; and

outputting, by the computer, an alert identifying the predicted battery consumption factor exceeding the threshold for the area to the separate scheduling service for each of the selection of one or more users present in the area.