Techniques for scheduling delivery of wireless power in wireless power delivery environments

• US 9,997,963 B2
• Filed: 06/07/2016
• Issued: 06/12/2018
• Est. Priority Date: 06/08/2015
• Status: Active Grant

• Current Assignee: Ossia, Inc.
• Original Assignee: Ossia, Inc.
• Inventors: Zeine, Hatem, Mayes, Dale, El-Rukby, Fady, Williams, Douglas, Shylendra, Prithvi
• Primary Examiner(s): Borroto, Alfonso Perez
• Application Number:
  US15/175,773
• Publication Number:
  US 20160359376A1
• Time in Patent Office: 735 Days
• Field of Search: 307104
• CPC Class Codes: G01R 31/318566 Comparators; Diagnosing the device under test
• CPC Class Codes: G01R 31/40 Testing power supplies testing photovoltaic devices H02S50/10
• CPC Class Codes: H02J 50/20 using microwaves or radio frequency waves
• CPC Class Codes: H02J 50/40 using two or more transmitting or receiving devices H02J50/50 takes precedence
• CPC Class Codes: H02J 50/80 involving the exchange of data, concerning supply or distribution of electric power, between transmitting devices and receiving devices
• CPC Class Codes: H02J 7/00036 Charger exchanging data with battery
• CPC Class Codes: H02J 7/00047 with provisions for charging different types of batteries
• CPC Class Codes: H02J 7/0036 using connection detecting circuits H02J7/0034 takes precedence
• CPC Class Codes: H02J 7/00714 in response to battery charging or discharging current
• CPC Class Codes: H04L 12/2818 from a device located outside both the home and the home network access arrangements H04L12/2856; for remote control or remote monitoring of applications H04L67/025; arrangements for transmitting signals characterised by the use of a wireless eletrical link G08C17/00; telephonic communication systems adapted for combination with remote control systems H04M11/007
• CPC Class Codes: H04L 12/6418 Hybrid transport
• CPC Class Codes: H04L 2012/2841 Wireless
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04W 4/12 Messaging; Mailboxes; Announcements
• CPC Class Codes: H04W 52/0212 managed by the network, e.g. network or access point is master and terminal is slave
• CPC Class Codes: H04W 8/005 Discovery of network devices, e.g. terminals
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y04S 20/20 End-user application control systems
• CPC Class Codes: Y04S 40/18 Network protocols supporting networked applications, e.g. including control of end-device applications over a network

Abstract

Techniques are described herein for utilizing power requirements of a device in order to schedule wireless power delivery in wireless power delivery environments. In some embodiments, the techniques can alternatively or additionally employ advanced usage based power models to schedule wireless power delivery in wireless power delivery environments. For embodiments where device usage information is utilized, various means of collecting and analyzing the usage data may be employed. Furthermore, in some embodiments, some of the usage data may be ignored in order to ensure that the usage models for the device are not polluted with abnormal or detrimental data.

Claims

1. A method of generating an adaptive wireless power delivery schedule for a wireless power transmission system, the method comprising:

identifying information associated with devices located in a wireless power coverage area of the wireless power transmission system,

wherein the information associated with the devices comprises battery and usage parameters including, for each device, a type of device, power consumption of the device and a current power level of the device;

modeling power requirements of the devices located in the wireless power coverage area of the wireless power transmission system by;

calculating a time-to-death for each of the devices based on the battery and usage parameters;

categorizing the devices based on corresponding mobility behavior;

determining a minimum power threshold for each of the devices;

comparing the time-to-death to the minimum power threshold for each of the devices; and

generating the power requirements models based on the comparisons; and

generating the adaptive wireless power delivery schedule based on the power requirement models.

2. The method of claim 1, further comprising:

providing directed wireless radio frequency power to wireless power receivers in the wireless power coverage area in accordance with the wireless power delivery schedule,

wherein each of the devices is associated with one or more of the wireless power receivers.

3. The method of claim 1, wherein categorizing the devices based on corresponding mobility behavior includes classifying each device as one or more of a ‘

resident’

device, a ‘

transitory’

device, or a ‘

predictable’

device.

4. The method of claim 1, wherein the minimum power threshold is determined based on a device type.

5. The method of claim 1, wherein identifying the information associated with the devices located in the wireless power coverage area includes identifying a number of devices located within the coverage region and a type of each of the devices.

6. The method of claim 1, wherein identifying the information associated with the devices located in the wireless power coverage area further comprises:

receiving a radio identifier from each wireless power receiver, wherein each wireless power receiver is associated with one of the devices; and

accessing receiver information for a corresponding device using the radio identifier.

7. The method of claim 6, further wherein identifying the information associated with the devices located in the wireless power coverage area further comprises:

determining if any of the receiver information is missing; and

determining if the missing information is discoverable when the receiver information missing.

8. The method of claim 7, further comprising:

querying a receiver for the missing information when the missing information is discoverable.

9. The method of claim 7, further comprising,

inferring the missing information when the missing information is not discoverable.

10. A wireless power transmission system, comprising:

an adaptively-phased antenna array having multiple radio frequency (RF) transceivers;

control circuitry configured to;

identify information associated with devices located in a wireless power coverage area of the wireless power transmission system

wherein the information associated with the devices comprises battery and usage parameters;

calculate a time-to-death for each of the devices based on the battery and usage parameters;

categorize the devices based on corresponding mobility behavior;

determine a minimum power threshold for each of the devices;

compare the time-to-death to the minimum power threshold for each of the devices;

generate power requirements models for the devices located in the wireless power coverage area of the wireless power transmission system based on the comparisons; and

generate the adaptive wireless power delivery schedule based on the power requirement models.

11. The wireless power transmission system of claim 10, wherein the control circuitry is further configured to direct the adaptively-phased antenna array to:

provide directed wireless RF power to wireless power receivers in the wireless power coverage area in accordance with the wireless power delivery schedule,

wherein each of the devices is associated with one or more of the wireless power receivers.

12. The wireless power transmission system of claim 10, wherein the battery and usage parameters include, for each device, a type of device, power consumption of the device or a current power level of the device.

13. The wireless power transmission system of claim 10, wherein to categorize the devices based on corresponding mobility behavior, the control circuitry is configured to classify each device as one or more of a ‘

resident’

device, a ‘

transitory’

device, or a ‘

predictable’

device.

14. The wireless power transmission system of claim 10, wherein the minimum power threshold is determined based on a device type.

15. The wireless power transmission system of claim 10, wherein to identify the information associated with the devices located in the wireless power coverage, the control circuitry is further configured to:

receive a radio identifier from each wireless power receiver, wherein each wireless power receiver is associated with one of the devices; and

access receiver information for a corresponding device using the radio identifier.

16. The wireless power transmission system of claim 10, wherein to identify the information associated with the devices located in the wireless power coverage, the control circuitry is further configured to:

determine if any of the receiver information missing;

determine if the missing information is discoverable when receiver information missing;

query a receiver for the missing information when the missing information is discoverable; and

infer the missing information when the missing information is not discoverable.

17. A non-transitory computer readable storage medium having program instructions stored thereon, which when executed by one or more processors of a wireless power transmission system, cause the wireless power transmission system to:

identify information associated with devices located in a wireless power coverage area of the wireless power transmission system,

wherein the information associated with the devices comprises battery and usage parameters;

calculate a time-to-death for each of the devices based on the battery and usage parameters;

determine a minimum power threshold for each of the devices;

compare the time-to-death to the minimum power threshold for each of the devices;

generate power requirements models for the devices located in the wireless power coverage area of the wireless power transmission system based on the comparisons; and

generate the adaptive wireless power delivery schedule based on the power requirement models.