Microsoft Technology Licensing, LLC

Tapan Ansel

Paresh J Maisuria

Ranveer Chandra

Rahul Nair

Anirudh Badam

Iulian Doroftei Calinov

James Anthony Schwartz, Jr

Matthew H Holle

M Nashaat Soliman

Sandeep Prabhakar

Samarth Harish Shah

Jihad Tafas

Murtuza S Naguthanawala

Aacer Hatem Daken

Taofiq Ezaz

Zachary Sandburg Holmes

Gabriel Knezek

Aniruddha Jayant Jahagirdar

James Kennyth Truckle

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 charge or 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 or to charge at any given time based on these criteria are determined.

Dynamic power source selection, charging, and discharging

Consumption of power by device components is profiled on a per-session basis of user interaction. A session engine determines start of a user interaction session with the device (e.g., by detecting screen turn on). The engine generates a session identifier (SID) and broadcasts same to device component(s). In response to the SID, the component(s) record power consumption data. Upon receiving a signal indicating end of the user interaction session (e.g., screen turn off), the session engine broadcasts a notice allowing component(s) to stop recording power consumption data. The components communicate aggregated data to the session engine for storage in a centralized location (e.g., trace buffer). In response to a query posed within a command line prompt, stored data may be parsed on a per-session basis for inclusion in a detailed report of power consumption. Power consumption inefficiencies endemic to components and/or user behaviors may be thus be identified and remediated.

Per-screen on session power consumption profiling

Growing community of inventors

Redmond, WA, United States of America

Tapan Ansel