Apple Inc.

Cyril De La Cropte De Chanterac

Kartik R Venkatraman

John Gregory Dorsey

Russell Alexader Blaine

Daniel Allen Chimene

Bryan R Hinch

Andrei Dorofeev

Shardul Mangade

Alessandro Pelosi

Gaurav Kapoor

James Michael Magee

Jeremy C Andrus

Aditya Venkataraman

Varaprasad V Lingutla

Constantin Pistol

Nigel R Gamble

Karen Eckert

Manu Gulati

John Meron Ananny

Keith Alan Cox

Matthew L Semersky

Jonathan Jay Andrews

Eugene J Kim

Michael Eng

Phillip Stanley-Marbell

David A Hardell

Sukalpa Biswas

Joseph Hakim

Shinye Shiu

James S Ismail

Yehonatan Perez

Shantonu Sen

Leland W Lew

Rong Zhang Hu

Hue Duc Tran

Nicholas W Ruhter

Stephen D Sterz

David M Demuro

Pulkit Desai

Timothy John Millet

Bob Bradley

Marc Jason Krochmal

Jafar Savoj

Norman Jay Rohrer

Erik P Machnicki

Parin Patel

Christopher S Linn

Inder M Sodhi

Akshay Mangalam Srivatsa

Joseph T DiBene, Ii

Anand Ramadurai

Christopher J Young

Derek Fujio Iwamoto

Daniel U Becker

Kieran Poulain

Sotirios Zogopoulos

Christopher W Chaney

Jay Mayur Khandhar

Katrik Venkatraman

Yuxin Bai

Matthew D Perkins

Oliver Cozette

Yehonantan Perez

Olivier Cozelle

Karl D Vulkan

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

Thermal conditions can be simulated for an electronic device. Application developers may want to test how applications perform under various thermal conditions on a device that includes thermal management. The application developers can use the tests to determine whether the application should take proactive measures to maintain application performance, and which proactive measures should be taken. For example, an application can reduce its use of resources to ensure that an application maintains a desired quality of user experience (and at a minimum remains responsive) under adverse thermal conditions. Creating adverse conditions can be difficult to replicate, costly to implement, and can potential cause damage to the electronic device being tested. In some examples, simulating thermal conditions can be used instead of placing the device in real-world adverse conditions to improve the testing process for developers.

Systems and methods of testing adverse device conditions

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

Systems and methods are disclosed for scheduling threads on a processor that has at least two different core types, such as an asymmetric multiprocessing system. Each core type can run at a plurality of selectable voltage and frequency scaling (DVFS) states. Threads from a plurality of processes can be grouped into thread groups. Execution metrics are accumulated for threads of a thread group and fed into a plurality of tunable controllers for the thread group. A closed loop performance control (CLPC) system determines a control effort for the thread group and maps the control effort to a recommended core type and DVFS state. A closed loop thermal and power management system can limit the control effort determined by the CLPC for a thread group, and limit the power, core type, and DVFS states for the system. Deferred interrupts can be used to increase performance.

Scheduler for amp architecture with closed loop performance and thermal controller

This application relates to systems, methods, and apparatus for using a computing device to perform payment transactions while the computing device is operating in a low power wallet mode during a low battery state of the computing device. During a low power wallet mode, various subsystems are prevented from receiving current from a battery of the computing device, while a near field communication (NFC) system of the computing device is provided with an operating current for detecting target systems. A target system and the NFC system can communicate during the low power wallet mode of the computing device, thereby allowing a user of the computing device to conduct payment transactions when the computing device is in a low power wallet mode. Such payment transactions can be useful if the user is ever stranded without enough power to fully operate the computing device and needs to pay for transportation.

Low power mode for payment transactions

A method of an electronic device that includes a power source is disclosed. The method determines a health of the power source, a temperature of the power source, and a state of charge of the power source. The method then sets a performance state cap for the electronic device based on at least the health of the power source.

Battery health-based power management

Examples of the disclosure are directed to methods of managing power of various modules of an electronic device to prevent the voltage of the battery from falling to an undervoltage lockout (UVLO) threshold. In some examples, software operating on the electronic device or an associated electronic device (e.g., a paired electronic device) may assign power budgets to one or more modules, thereby preventing each module from drawing its maximum current capacity and causing the battery's voltage level to fall to the UVLO threshold. In some examples, a pre-UVLO threshold (i.e., a threshold higher than the UVLO threshold) may be used to modify the states of one or more modules to save power as the voltage of the battery approaches the UVLO threshold, but before the device must be fully powered off.

Brownout avoidance

Scheduling of work interval objects in an AMP architecture using a closed loop performance controller

Examples of the disclosure are directed to a method of, after hitting a UVLO threshold, rebooting an electronic device in a low power mode having a lower UVLO threshold, such that the device can continue to be used past the first UVLO threshold. For example, in a high power mode, the device may be capable of a number of functionalities of a modern portable electronic device, such as network access, the ability to run applications, Bluetooth connections, etc. In a low power mode, the device may only be able to check and display a current time, play an alarm sound at a predefined time, perform near field communication (NFC) transactions/payments, among other possibilities described herein. The limited functionality and reduced usage of peripherals in the low power mode may prevent the battery from experiencing peaks in current level that may be problematic at relatively low levels of voltage.

Low power mode

In some implementations, a user device can schedule tasks based on user behavior. For example, the user device can receive a task request that includes a time window and user/device context parameters for performing the task. The user device can predict a time when the user/device context is optimal for performing the task during the time window based on historical context data. For example, the user device can generate an optimal context score for the task based on the context parameters and the historical context data. The user device can execute the requested task at a current time within the time window when a context score for the current context exceeds a threshold determined based on the optimal context score.

Scheduling processing tasks based on predicted context

Scheduler for amp architecture using a closed loop performance and thermal controller

An electronic device may have a power system with a battery. The power system receives power such as wireless power or wired power and uses a portion of the received power to charge the battery as needed. Control circuitry in the portable electronic device is used to run background processes such as image processing tasks, data synchronization tasks, indexing, and other background processes. In some circumstances, such as when the battery is below a certain state of charge threshold, background processes may be stopped so that the battery is charged as fast as possible. Once above this initial state of charge threshold, background processes may be performed during charging as long as the temperature and state of charge of the battery do not exceed safety temperature and safety state of charge values. Performing background processes in these conditions ensures requisite background processing tasks are completed while preserving battery health.

Electronic device with power management

Scheduler for AMP architecture with closed loop performance controller using static and dynamic thread grouping

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San Francisco, CA, United States of America

Cyril De La Cropte De Chanterac