Proactive Battery Consumption Estimation for Scheduled Events
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Solution Overview
Problem
Mobile computing devices typically provide battery alerts only when the level is low, which is reactive and may not allow users to proactively manage battery usage for scheduled events, potentially leading to device shutdown during critical activities like video conferences or phone calls.
Innovation Solution
A method for estimating battery consumption for scheduled events, providing battery warning notifications based on pre-defined rules, and monitoring battery levels before and during events to ensure sufficient charge, using a battery manager that integrates with the device's scheduler and task applications to offer proactive alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery monitoring is performed only when battery level is low, then device complexity is reduced, but reliability of battery management deteriorates
Solution Approach 1:
The system performs preliminary battery consumption estimation for scheduled events before they occur. The battery manager estimates power requirements for upcoming tasks and checks current battery levels in advance, allowing proactive warning notifications to be issued before battery depletion occurs during critical events.
Solution Approach 2:
The system implements a feedback mechanism where battery consumption estimates for scheduled events are continuously compared against actual battery levels. When the estimated consumption exceeds available battery capacity, warning notifications are generated to alert users, creating a closed-loop monitoring system that improves reliability.
2Reliability
If proactive battery monitoring for scheduled events is implemented, then reliability of battery management is improved, but device complexity increases
Solution Approach 1:
The battery manager autonomously performs consumption estimation for scheduled events without requiring user intervention. The system automatically retrieves event schedules, estimates power requirements, monitors battery levels, and generates warnings when necessary, enabling self-service battery management that reduces perceived complexity for users.
Solution Approach 2:
The battery manager integrates multiple functions into a single system: it monitors current battery levels, estimates consumption for various types of scheduled events, compares available capacity against requirements, and issues warnings. This multi-functional approach consolidates complexity into one unified component rather than requiring separate systems for each function.
3Loss of information
If battery consumption estimation for scheduled events is performed, then loss of information about battery status is reduced, but use of energy for monitoring increases
Solution Approach 1:
The system performs battery level checks at periodic intervals before scheduled events rather than continuously monitoring. Consumption estimation is updated periodically as events are scheduled or modified, reducing the frequency of battery measurements and computations while still providing timely information about battery status relative to upcoming tasks.
Data Source
AI summary
In one embodiment, a method for battery monitoring on a computing device includes: estimating a battery consumption estimate for an event scheduled on the computing device, checking a battery charge level prior to said scheduled event, determining according to a set of battery notification rules whether or not to provide a battery warning notification on the computing device, where the determining is based at least on the battery consumption estimate and the checking, and providing the battery warning notification if required in accordance with the determining.