Apple Inc.

Kartik R Venkatraman

Cyril De La Cropte De Chanterac

Shardul Mangade

Alessandro Pelosi

Manish Chandra Reddy Ravula

Gaurav Kapoor

Marc Jason Krochmal

Umesh Suresh Vaishampayan

Phillip Stanley-Marbell

Varaprasad V Lingutla

Roberto Alvarez

Archana Venkatesh

Jingran Zhou

Brad W Simeral

Roberto G Yepez

Gierad Laput

Daniel P Kumar

Antonio R De Lima Fernandes

Ardra Singh

Daniel J Drusch

Ricky Wai Kit Yuen

Shashi K Dua

Derek J Dicarlo

Joseph F Alverson

Felix T Tristram

Andres Y Chabolla

Gina B Lu

Gabrielle Andrea Badie Belzberg

Srinivasan Nimmala

Vijay Venkataraman

Sree Ram Kodali

Bob Bradley

Christopher S Linn

Rajesh Ambati

Abhinav Pathak

Akshay Mangalam Srivatsa

Ajay Singh

Abhishek Bhowmick

Ryan M Rogers

David R Cox

Conor J O'Reilly

Brian E Korver

Alexander D Palmer

Mary-Ann Rau

Aaron Cotter

Mary-Ann Ionascu

Santhanakrishnan Geeyarpuramnadathur

Cyril De La Cropte De Chantérac

Lucas H David

Steven R Brandt

Arjun S Vasudevan

Matthew D Perkins

The present disclosure describes systems and methods associated with selective powering of an electronic display in response to operating conditions, additional data, and/or predicting that the electronic display is not going to be viewed or visible. By selectively enabling the electronic display between power states based on a prediction of when a viewer is expected to view the electronic display, a perceivably always-on electronic display may be provided without the electronic display being always-on, thereby balancing consumer interests with technical requirements of a relatively long battery life and correspondingly low power consumption.

Predictive display power control systems and methods

The present disclosure describes systems and methods associated with selective powering of an electronic display in response to sensed data indicating that the electronic display is not visible. By selectively enabling the electronic display between power states based on whether the electronic display is visible, a perceivably always-on electronic display may be provided without the electronic display being always-on, thereby balancing consumer interests with technical requirements of a relatively long battery life and correspondingly low power consumption.

Sensor-based display power control systems and methods

Aspects of the subject technology relate to power consuming processes of electronic devices. For example, an electronic device may create, initiate, and/or modify a power consuming process of the electronic device, based in part on user power consumption information that indicates a typical amount of power consumed by a user of the electronic device. The electronic device may recommend increases in power consumption for low power consumption users and/or decreases in power consumption for high power consumption users. A power consumption process may include a visual arrangement of graphical elements that each display periodically, occasionally, and/or continuously updated information from the application, when a full user interface of the application is not displayed.

Power-efficient dynamic application content display for electronic devices

Certain embodiments disclosed herein provide application-specific launch optimization. Aspects of the present disclosure include one or more cost functions for each application, where each cost function corresponds to a likelihood that a particular application should be placed into a particular pre-activation state. For each of the inactive applications, a respective one of the pre-activation states is selected based on comparing cost values obtained by evaluating the cost functions. Each of the inactive applications can be moved to or maintained in the respectively-selected pre-activation state to more efficiently provide an expedited application launch experience for a user.

Application-specific launch optimization

This disclosure provide various techniques for decreasing the amount of energy consumed on an electronic device by one or more background processes. By implementing a fast energy accounting engine that may quickly detect changes in energy usage by the background processes and report the changes to a dynamic activity scheduler, a system may decrease the overall energy consumed by the one or more background processes.

Fast energy accounting system

Reducing power consumption in an electronic device can include analyzing device usage data associated with the device to predict an extended period of user inactivity, the usage data including at least one of historical usage data and present usage signals and entering an enhanced reduced power state by implementing one or more power saving optimizations for at least a portion the extended period of extended user inactivity, the one or more power saving optimizations slowing, delaying, or interrupting one or more normal activities normally performed by the device. The method can further include exiting the enhanced reduced power state by suspending the one or more power saving optimizations. Exiting the enhanced reduced power state can be performed in response to at least one of: user activity; a specified user routine; or a time predicted by the analyzing device usage data.

Energy saving for battery powered devices

Embodiments described herein provide for a multi-device context store in which context attributes of multiple devices can be synchronized. A first device can transmit a predicate to a second device, where the predicate includes a condition associated with an attribute of a multi-device context store. Upon the occurrence of the condition at the second device, a notification and/or context update can be sent by the second device to the first device. The predicate can also include a code block to be executed upon the occurrence of the condition.

Synchronization of remote context data

In some implementations, a user device can maintain a multi-device context store. For example, the user device can receive device and/or user context information from multiple devices and store the context information in a local data store. The user device can collect local device and/or user context information and store the context information in the local context store. The user device can receive user/device context queries from client processes and send the client processes user/device context information from multiple devices in response to the queries.

Multi-device context store

A power system uses a power transmitting device to charge batteries in power receiving devices. Wireless power is transmitted using coils in the power transmitting device and coils in the power receiving devices. Usage history information such as power consumption, times and dates of device usage, battery charge state information, device location information, and other information is gathered using portable electronic devices in the system. Control circuitry in the power transmitting device or elsewhere in the system controls power transfer so that battery charging is performed in accordance with appropriate battery charging settings. Battery charging settings such as maximum charge level, charge rate, charging start and stop times, and other settings are adjusted based on usage history information from one or more devices and/or one or more users.

Power system with battery charging control

A method of controlling charging of an electronic device includes estimating a usage time value that corresponds to an anticipated future occurrence of usage of the electronic device; and estimating a resume time value that corresponds to a time for charging to commence to allow for completion of charging from a first predetermined state of charge value to a second predetermined state of charge value by the usage time value. The method also includes charging a battery of the electronic device using electrical power supplied by a charging device until a current state of charge of the battery reaches the first predetermined state of charge value, entering, by the electronic device, a deactivated mode after the current state of charge reaches the first predetermined state of charge value, and causing the electronic device to return to the activated mode according to the resume time value.

Battery charging control for electronic devices

Systems and methods are disclosed for advising a user when an energy storage device in a computing system needs charging. State of charge data of the energy storage device can be measured and stored at regular intervals. The historic state of charge data can be queried over a plurality of intervals and a state of charge curve generated that is representative of a user's charging habits over time. The state of charge curve can be used to generate a rate of charge histogram and an acceleration of charge histogram. These can be used to predict when a user will charge next, and whether the energy storage device will have an amount of energy below a predetermined threshold amount before the next predicted charging time. A first device can determine when a second device typically charges and whether the energy storage device in the second device will have an amount of energy below the predetermined threshold amount before the next predicted charge time for the second device. The first device can generate an advice to charge notification to the user on either, or both, devices.

Smart advice to charge notification

An electronic device may have a power system. The power system may receive power such as wireless power or wired power and may use a portion of the received power to charge a battery. Power consumption by control circuitry in the device can be adjusted by deactivating or activating processor cores in the control circuitry and by selectively starting or stopping software activities. By selectively reducing power consumption by circuitry in the electronic device other than battery charging circuitry in the power system that is charging the battery, additional power may be made available to charge the battery and/or battery capacity can be extended. The electronic device may reduce non-battery-charging activities in the device in response to information gathered with sensors such as motion and temperature information, information from the power system, information on device location, information on software settings, and other information.

Electronic device with activity-based power management

Growing community of inventors

Santa Clara, CA, United States of America

Kartik R Venkatraman