Scheduling optimized charging of battery enabled devices based on battery usage impact factors and predicted usage received from multiple sources

• US 9,867,017 B1
• Filed: 10/24/2016
• Issued: 01/09/2018
• Est. Priority Date: 10/24/2016
• Status: Expired due to Fees

• 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:
  US15/333,122
• Time in Patent Office: 442 Days
• Field of Search: None
• 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: H04W 4/029 Location-based management or tracking services
• 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 84/105 PBS [Private Base Station] network H04W84/12 - H04W84/16 take precedence
• CPC Class Codes: H04W 84/12 WLAN [Wireless Local Area Networks]
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

A power service receives a user schedule of one or more events each specifying predicted usage and predicted location for one or more battery enabled mobile devices. The power service accesses one or more battery usage impact factors for each predicted location. The power service analyzes the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices. The power service updates the user schedule to specify at least one charging event for each at least one recommended charging time and charging location.

Claims

1. A method, comprising:

receiving, by a computer system, a user schedule of one or more events each specifying predicted usage and predicted location for future use of one or more battery enabled mobile devices at a predicted time;

for each event of the one or more events, accessing, by the computer system, one or more battery usage impact factors for each predicted location, the one or more battery usage impact factors comprising a predicted temperature at the predicted location at the predicted time and a predicted access to wireless network service and cellular network service for each predicted location, the one or more battery usage impact factors impacting performance of a separate battery within each of the plurality of battery enabled devices;

analyzing, by the computer system, the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices;

updating, by the computer system, the user schedule to specify at least one charging event for each at least one recommended charging time and charging location;

monitoring, by the computer system, the actual temperature at the predicted location when a current time matches the predicted time and the actual access to the wireless network service and cellular network service when a current time matches the predicted time; and

dynamically adjusting, by the computer system, the at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices according to at least one difference impacting performance of the separate battery between at least one of the actual temperature and the predicted temperature and the actual access to the wireless network service and cellular network service and the predicted access.

2. The method according to claim 1, wherein accessing, by the computer system, one or more battery usage impact factors for each predicted location further comprises:

accessing, by the computer system, a predicted application usage for each predicted location.

3. The method according to claim 1, wherein analyzing, by the computer system, the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices further comprises:

receiving, by the computer system, one or more types of individual current usage from one or more battery enabled devices; and

analyzing, by the computer system, the predicted usage and predicted location for each of the one or more events, the one or more battery usage impact factors, and the one or more types of individual current usage, to predict the recommended charging time and charging location for each of the one or more battery enabled mobile devices.

4. The method according to claim 1, wherein receiving, by the computer system, a user schedule of one or more events each specifying predicted usage and predicted location for one or more battery enabled mobile devices further comprises:

analyzing, by the computer system, for each time period in the user schedule, each of an event type, event duration, and event location, in view of previously scheduled usage of the one or more battery enabled devices;

predicting, by the computer system, in each time period, one or more additional types of predicted usage of the one or more battery enabled devices during each time period based on the event type, event duration, and event location supplemented by previously scheduled usage of the one or more battery enabled devices; and

updating, by the computer system, in the user schedule, in each time period, the event type, event duration, and event location with the one or more additional types of predicted usage.

5. The method according to claim 1, wherein analyzing, by the computer system, the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices further comprises:

determining, by the computer system, at least one power source available at each predicted location; and

selecting, by the computer system, in the separate recommended charging time and charging location, the predicted location at the charging time.

6. The method according to claim 1, wherein analyzing, by the computer system, the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices further comprises:

identifying, by the computer system, a separate predicted usage for each of the one or more battery enabled mobile devices for each of the one or more events comprising a plurality of battery enabled mobile devices, wherein only a selection of the plurality of battery enabled mobile devices is used during each of the one or more events; and

predicting, by the computer system, at least one recommended charging time and charging location based on the separate predicted usage to minimize a total amount of time required for charging each of the plurality of battery enabled mobile devices during a period of time comprising at least the one or more events, wherein the period of time is longer than a battery life of at least one battery of the selection of the plurality of battery enabled mobile devices.

7. The method according to claim 1, wherein analyzing, by the computer system, the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices further comprises:

identifying, by the computer system, a separate predicted usage for each of the one or more battery enabled mobile devices for each of the one or more events comprising a plurality of battery enabled mobile devices, wherein only a selection of the plurality of battery enabled mobile devices is used during each of the one or more events; and

predicting, by the computer system, a plurality of recommended charging times and charging locations based on the separate predicted usage to minimize a total number of charging times required for charging each of the plurality of battery enabled mobile devices during a period of time comprising at least the one or more events, wherein the period of time is longer than a battery life of at least one battery of the selection of the plurality of battery enabled mobile devices.

8. A computer system comprising one or more processors, one or more non-transitory 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 a user schedule of one or more events each specifying predicted usage and predicted location for future use of one or more battery enabled mobile devices at a predicted time;

program instructions, for each event of the one or more events, to access one or more battery usage impact factors for each predicted location, the one or more battery usage impact factors comprising a predicted temperature at the predicted location at the predicted time and a predicted access to wireless network service and cellular network service for each predicted location, the one or more battery usage impact factors impacting performance of a separate battery within each of the plurality of battery enabled devices;

program instructions to analyze the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices;

program instructions to update the user schedule to specify at least one charging event for each at least one recommended charging time and charging location;

program instructions to monitor the actual temperature at the predicted location when a current time matches the predicted time and the actual access to the wireless network service and cellular network service when a current time matches the predicted time; and

program instructions to dynamically adjust the at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices according to at least one difference impacting performance of the separate battery between at least one of the actual temperature and the predicted temperature and the actual access to the wireless network service and cellular network service and the predicted access.

9. The computer system according to claim 8, wherein the program instructions to access one or more battery usage impact factors for each predicted location further comprise:

program instructions to access a predicted application usage for each predicted location.

10. The computer system according to claim 8, wherein the program instructions to analyze the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices further comprise:

program instructions to receive one or more types of individual current usage from one or more battery enabled devices; and

program instructions to analyze the predicted usage and predicted location for each of the one or more events, the one or more battery usage impact factors, and the one or more types of individual current usage, to predict the recommended charging time and charging location for each of the one or more battery enabled mobile devices.

11. The computer system according to claim 8, wherein the program instructions to receive a user schedule of one or more events each specifying predicted usage and predicted location for one or more battery enabled mobile devices further comprise:

program instructions to analyze, for each time period in the user schedule, each of an event type, event duration, and event location, in view of previously scheduled usage of the one or more battery enabled devices;

program instructions to predict, in each time period, one or more additional types of predicted usage of the one or more battery enabled devices during each time period based on the event type, event duration, and event location supplemented by previously scheduled usage of the one or more battery enabled devices; and

program instructions to update, in the user schedule, in each time period, the event type, event duration, and event location with the one or more additional types of predicted usage.

12. The computer system according to claim 8, wherein the program instructions to analyze the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices further comprise:

program instructions to determine at least one power source available at each predicted location; and

program instructions to select, in the separate recommended charging time and charging location, the predicted location at the charging time.

13. The computer system according to claim 8, wherein the program instructions to analyze the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices further comprises:

program instructions to identify a separate predicted usage for each of the one or more battery enabled mobile devices for each of the one or more events comprising a plurality of battery enabled mobile devices, wherein only a selection of the plurality of battery enabled mobile devices is used during each of the one or more events; and

program instructions to predict at least one recommended charging time and charging location based on the separate predicted usage to minimize a total amount of time required for charging each of the plurality of battery enabled mobile devices during a period of time comprising at least the one or more events, wherein the period of time is longer than a battery life of at least one battery of the selection of the plurality of battery enabled mobile devices.

14. The computer system according to claim 8, wherein the program instructions to analyze the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices further comprises:

program instructions to identify a separate predicted usage for each of the one or more battery enabled mobile devices for each of the one or more events comprising a plurality of battery enabled mobile devices, wherein only a selection of the plurality of battery enabled mobile devices is used during each of the one or more events; and

program instructions to predict a plurality of recommended charging times and charging locations based on the separate predicted usage to minimize a total number of charging times required for charging each of the plurality of battery enabled mobile devices during a period of time comprising at least the one or more events, wherein the period of time is longer than a battery life of at least one battery of the selection of the plurality of battery enabled mobile devices.

15. 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, a user schedule of one or more events each specifying predicted usage and predicted location for future use of one or more battery enabled mobile devices at a predicted time;

for each event of the one or more events, access, by the computer, one or more battery usage impact factors for each predicted location, the one or more battery usage impact factors comprising a predicted temperature at the predicted location at the predicted time and a predicted access to wireless network service and cellular network service for each predicted location, the one or more battery usage impact factors impacting performance of a separate battery within each of the plurality of battery enabled devices;

analyze, by the computer, the predicted usage and predicted location for each of the one or more events and the one or more battery usage impact factors to predict at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices;

update, by the computer, the user schedule to specify at least one charging event for each at least one recommended charging time and charging location;

monitor, by the computer, the actual temperature at the predicted location when a current time matches the predicted time and the actual access to the wireless network service and cellular network service when a current time matches the predicted time; and

dynamically adjust, by the computer, the at least one recommended charging time and charging location for each of the one or more battery enabled mobile devices according to at least one difference impacting performance of the separate battery between at least one of the actual temperature and the predicted temperature and the actual access to the wireless network service and cellular network service and the predicted access.

16. The computer program product according to claim 15, further comprising the program instructions executable by a computer to cause the computer to:

access, by the computer, a predicted application usage for each predicted location.

17. The computer program product according to claim 15, further comprising the program instructions executable by a computer to cause the computer to:

receive, by the computer, one or more types of individual current usage from one or more battery enabled devices; and

analyze, by the computer, the predicted usage and predicted location for each of the one or more events, the one or more battery usage impact factors, and the one or more types of individual current usage, to predict the recommended charging time and charging location for each of the one or more battery enabled mobile devices.

18. The computer program product according to claim 15, further comprising the program instructions executable by a computer to cause the computer to:

analyze, by the computer, for each time period in the user schedule, each of an event type, event duration, and event location, in view of previously scheduled usage of the one or more battery enabled devices;

predict, by the computer, in each time period, one or more additional types of predicted usage of the one or more battery enabled devices during each time period based on the event type, event duration, and event location supplemented by previously scheduled usage of the one or more battery enabled devices; and

update, by the computer, in the user schedule, in each time period, the event type, event duration, and event location with the one or more additional types of predicted usage.

19. The computer program product according to claim 15, further comprising the program instructions executable by a computer to cause the computer to:

identify, by the computer, a separate predicted usage for each of the one or more battery enabled mobile devices for each of the one or more events comprising a plurality of battery enabled mobile devices, wherein only a selection of the plurality of battery enabled mobile devices is used during each of the one or more events; and

predict, by the computer, at least one recommended charging time and charging location based on the separate predicted usage to minimize a total amount of time required for charging each of the plurality of battery enabled mobile devices during a period of time comprising at least the one or more events, wherein the period of time is longer than a battery life of at least one battery of the selection of the plurality of battery enabled mobile devices.

20. The computer program product according to claim 15, further comprising the program instructions executable by a computer to cause the computer to:

identify, by the computer, a separate predicted usage for each of the one or more battery enabled mobile devices for each of the one or more events comprising a plurality of battery enabled mobile devices, wherein only a selection of the plurality of battery enabled mobile devices is used during each of the one or more events; and

predict, by the computer, a plurality of recommended charging times and charging locations based on the separate predicted usage to minimize a total number of charging times required for charging each of the plurality of battery enabled mobile devices during a period of time comprising at least the one or more events, wherein the period of time is longer than a battery life of at least one battery of the selection of the plurality of battery enabled mobile devices.