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Inferred calendar-based battery power alerts

IP.com Disclosure Number: IPCOM000230887D
Publication Date: 2013-Sep-17
Document File: 1 page(s) / 32K

Publishing Venue

The IP.com Prior Art Database

Abstract

Battery life of an important electronic device is a big concern for many users. Although many devices today include a monitoring system for such concerns, it may prove impractical to constantly monitor it and furthermore it is difficult to ascertain the future performance of such a device. Prediction of future battery life based on future behaviour of an end user and relaying that information to the user will result in improved device management during important events and engagements.

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Inferred calendar-based battery power alerts

Disclosed is an application for electronic devices that provides real-time notifications about the predicted life of the battery on such a device both in absolute terms and in terms of individual scheduled future events and engagements. This application alerts the user to any predicted battery failures before, during or after each such event based on the predicted use of the device during the day.

    Using pre-existing battery monitoring software and event management software such as a calendar on a typical mobile phone or computer, the disclosed application is able to warn a user about future battery problems relating to their intended schedule. Firstly, the application samples the output from the pre-existing battery monitoring software at regular intervals. This data is extrapolated to estimate

when the battery is going to run out. The software takes this data and compares it

with the calendar schedule for a user. If the estimated battery life is less than the time until the end of each meeting, the application will place a warning flag next to such meetings as an icon on each meeting, or via a similar display. The warnings can be either to indicate the battery of the device will run out during the meeting or

will run out before the meeting has begun, as orange and red warning flags respectively. The disclosed application can also suggest closing other applications

with high memory usage such as mobile web browsers if many warning flags are

detected.

    Using the above technology as a basis, the application can derive a more accurate representation of remaining battery time using any regularly scheduled meetings. The application monitors bat...