Dynamic energy storage device discharging

• US 10,488,905 B2
• Filed: 11/16/2016
• Issued: 11/26/2019
• Est. Priority Date: 11/16/2016
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Jahagirdar, Aniruddha Jayant, Chandra, Ranveer, Badam, Anirudh, Schwartz, Jr., James Anthony, Maisuria, Paresh, Holle, Matthew, Soliman, M. Nashaat, Naguthanawala, Murtuza S.
• Primary Examiner(s): Abbaszadeh, Jaweed A
• Assistant Examiner(s): Pandey, Keshab R
• Application Number:
  US15/353,596
• Publication Number:
  US 20180136704A1
• Time in Patent Office: 1,105 Days
• Field of Search: 713300, 713310, 713320, 713321, 713322, 713 3, 713 23, 713324, 713340, 713375
• CPC Class Codes: G06F 1/206 comprising thermal management
• CPC Class Codes: G06F 1/26 Power supply means, e.g. regulation thereof for memories G11C
• CPC Class Codes: G06F 1/263 Arrangements for using multiple switchable power supplies, e.g. battery and AC G06F1/30 takes precedence
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• 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: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

A computing device has an energy storage device system with multiple energy storage devices. Various different criteria are used to determine which one or more of the multiple energy storage devices to discharge at any given time to provide power to the computing device. The criteria can include characteristics of the energy storage devices as well as hardware and/or physical characteristics of the computing device, characteristics of the energy storage devices and/or the computing device that change while the computing device operates, and predicted behavior or usage of the computing device. These criteria are evaluated during operation of the computing device, and the appropriate energy storage device(s) from which to draw power at any given time based on these criteria are determined.

Claims

1. A method implemented in a computing device having multiple energy storage devices, the method comprising:

determining, for each of multiple thermal zones of the computing device, respective temperatures of the thermal zones, wherein the temperatures comprise temperatures of the thermal zones and not temperatures of the energy storage devices, wherein each thermal zone contains a respective power-drawing component of the computing device and a respective energy storage device, and wherein the temperatures of the thermal zones are determined according to temperature measurements obtained from components of the computing device other than the energy storage devices, and wherein storage of the computing device stores indications of which components are in which thermal zones and stores the temperatures of the respective thermal zones;

determining, based on multiple criteria regarding operation of the computing device, which of the multiple energy storage devices to draw power from, the multiple criteria including the temperatures of the respective thermal zones; and

configuring, according to the determining, each of the one or more of the multiple energy storage devices.

2. The method as recited in claim 1, wherein the determining comprises determining to draw power from one of the multiple energy storage devices that is not in a thermally hot zone.

3. The method as recited in claim 1, wherein the multiple criteria includes dynamic system criteria, the dynamic system criteria includes for each of the multiple energy storage devices an indication of a thermal zone in which the energy storage device is located, and the determining comprises duty cycling the multiple energy storage devices in different thermal zones.

4. The method as recited in claim 1, wherein the multiple criteria includes dynamic system criteria, the dynamic system criteria includes an indication of whether the computing device is under a power load that exceeds a threshold, and the determining comprises selecting at least two of the energy storage devices in response to determining that the computing device is under a power load that exceeds a threshold.

5. The method as recited in claim 1, wherein the multiple criteria includes static criteria, the static criteria includes electrical proximity of a component in the computing device to each of the multiple energy storage devices, and the determining comprises determining to draw power from the one of the multiple energy storage devices being most energy efficient for the component relative to the other energy storage devices.

6. The method as recited in claim 1, wherein the multiple criteria includes static criteria, the static criteria includes an energy storage device charge level, and the determining one or more of the multiple energy storage devices to draw power from comprises determining to draw power from one of the multiple energy storage devices that satisfies a threshold charge level for the energy storage device.

7. The method as recited in claim 1, wherein the determining comprises determining to draw power from a particular one of the multiple energy storage devices in response to predicting that the one energy storage device will be removed from the computing device within a threshold amount of time and/or energy and the other ones of the multiple energy storage devices are not able to provide power to the computing device for a duration of time that the computing device is predicted to run in the absence of an additional power source.

8. The method as recited in claim 1, wherein the multiple criteria include power source connection predictions, and the determining comprises determining to draw power from the multiple energy storage devices in a balanced manner based on the power source connection predictions.

9. The method as recited in claim 1, wherein the multiple criteria include expected future workload and/or energy usage predictions, and the determining comprises determining to draw power from the multiple energy storage devices in a balanced manner in response to predicting that there is sufficient charge in the energy storage devices to perform the expected future workload and/or energy usage of the computing device.

10. The method as recited in claim 1, further comprising, according to the multiple criteria, reducing performance of a hardware component and/or software component of the computing device.

11. The method as recited in claim 1, wherein the determining comprises determining the one or more of the multiple energy storage devices using battery age balancing.

12. A method implemented in a computing device having multiple energy storage devices, the method comprising:

determining values for multiple criteria regarding the computing device, the multiple criteria including hardware characteristics of the computing device, the hardware characteristics of the computing device including electrical proximity of each of the multiple energy storage devices to a component of the computing device;

determining, based on the multiple criteria, one or more of the multiple energy storage devices to draw power from, the determining the one or more energy storage devices including identifying one of the multiple energy storage devices that is most energy efficient for the component; and

configuring each of the one or more of the multiple energy storage devices to provide power to the computing device, the configuring including configuring the one of the multiple energy storage devices that is determined to be closest to the component to provide power to the component.

13. The method as recited in claim 12, further comprising:

the values for the multiple criteria including dynamic system criteria, the dynamic system criteria including a temperature of each of multiple thermal zones of the computing device; and

the determining the one or more energy storage devices including determining the one or more of the multiple energy storage devices to draw power from based at least in part on the temperatures of each of the multiple thermal zones.

14. The method as recited in claim 12, wherein the multiple criteria includes for each of the multiple energy storage devices an indication of a thermal zone in which the energy storage device is located, and the determining one or more of the multiple energy storage devices to draw power from comprises duty cycling ones of the multiple energy storage devices in different thermal zones.

15. The method as recited in claim 12, wherein the multiple criteria includes an indication of whether the computing device is under a high power load, and the determining one or more of the multiple energy storage devices to draw power from comprises selecting at least two of the multiple energy storage devices in response to determining that the computing device is under a high power load.

16. The method as recited in claim 12, wherein the multiple criteria include energy storage device presence predictions, and the determining one or more of the multiple energy storage devices to draw power from comprises determining to draw power from a particular one of the multiple energy storage devices in response to predicting that the one energy storage device will be removed from the computing device within a threshold amount of time and the other ones of the multiple energy storage devices are not able to provide power to the computing device for a duration of time that the one energy storage device is not present at the computing device and power cannot be replenished to the multiple energy storage devices.

17. A method according to claim 12, wherein determining that the one of the multiple energy storage devices is closest to the component comprises determining that the one of the multiple energy devices is electrically closest to the component.

18. A computing device comprising:

an energy storage device system including multiple energy storage devices; and

an energy storage device discharge selection system configured to communicate, to the energy storage device system, an indication of which of the multiple energy storage devices to draw power from and/or how much power to draw from which of the energy storage devices, the energy storage device discharge selection system including;

a static criteria determination module configured to determine values for characteristics of the multiple energy storage devices and physical characteristics of the computing device;

a dynamic system criteria determination module configured to determine values for characteristics of the energy storage devices and/or the computing device that change while the computing device operates, including temperatures of one or more thermal zones in the computing device, wherein the temperatures comprise temperatures of the thermal zones and not temperatures of the energy storage devices, wherein each thermal zone contains a respective power-drawing component of the computing device and a respective energy storage device, wherein the temperatures of the thermal zones are determined according to temperature measurements obtained from components of the computing device other than the energy storage devices, and wherein storage of the computing device stores indications of which components are in which thermal zones and stores the temperatures of the respective thermal zones; and

an energy storage device selection module configured to determine, based on the values determined by the static criteria determination module and the dynamic system criteria determination module, how much power to draw from whichever of the multiple energy storage devices are being used to power the computing device.

19. The computing device as recited in claim 18, the energy storage device discharge selection system further including a prediction module configured to determine values for characteristics of predicted behavior or usage of the computing device, and the energy storage device selection module being further configured to select, based at least in part on the values determined by the prediction module, which of the multiple energy storage devices to draw power from.

20. The computing device as recited in claim 18, the dynamic energy storage device discharge selection system further including a prediction module configured to determine values for characteristics of estimated or predicted energy consumption by the computing device, and the energy storage device selection module being further configured to select, based at least in part on the values determined by the prediction module, which of the multiple energy storage devices to draw power from.