Battery Manager Scores Hardware Activity to Reduce Power Drain
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Solution Overview
Problem
Mobile devices experience reduced battery life due to unnecessary power consumption by hardware components that are not actively in use, even when in low power modes, leading to frequent charging requirements.
Innovation Solution
A battery manager that scores hardware components based on power consumption, importance, and activity levels, automatically shutting down those with high scores in power conserving modes to minimize battery drain, while ensuring minimal user impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hardware components are kept running in low power mode to ensure availability, then component reliability is improved, but battery life deteriorates
Solution Approach 1:
The system performs preliminary actions by monitoring hardware activity in advance and proactively shutting down components before battery life becomes critical. The battery manager continuously tracks usage patterns and predicts when components will be needed, allowing it to maintain components during high-battery periods and shut them down during low-battery periods, thus resolving the contradiction between availability and battery life.
Solution Approach 2:
The system dynamically adjusts hardware component states based on real-time battery charge level and usage patterns. When battery charge is high, components remain in low power mode for availability. When battery charge drops below thresholds, the system dynamically transitions to shutting down inactive components. This dynamic adaptation allows the system to optimize between reliability and battery life at different operational states.
2Duration of action of moving object
If all hardware components are shut down to conserve battery power, then battery life is improved, but user experience deteriorates due to component unavailability
Solution Approach 1:
The system applies local quality by differentiating between hardware components based on their individual usage patterns and importance. Not all components are treated uniformly - the battery manager analyzes each component's activity level, usage frequency, and user priority settings to determine which components to shut down and which to keep running. This selective approach maintains user experience for critical components while conserving battery power by shutting down less important ones.
Solution Approach 2:
The system implements feedback mechanisms where users can provide input on component priority through settings, and the battery manager monitors actual usage patterns to adjust shutdown decisions. The feedback loop includes tracking whether shut down components are actually needed by users and adjusting future shutdown decisions accordingly. This feedback-driven approach ensures battery life extension doesn't significantly impact user experience.
3Use of energy by moving object
If hardware components are monitored and managed selectively to optimize battery life, then energy efficiency is improved, but system complexity increases
Solution Approach 1:
The battery manager implements multi-functionality by consolidating multiple power management tasks into a single system component. It handles hardware monitoring, activity tracking, usage pattern analysis, shutdown decision-making, and state transitions all through one integrated manager. This universal approach improves energy efficiency through sophisticated power management while limiting complexity growth by avoiding the need for separate complex management systems for each hardware component.
Data Source
AI summary
A processing device of a mobile device determines an activity level for a hardware component of the mobile device based on activity information associated with the hardware component. The processing device computes a score for the hardware component based on the activity level and a power consumption value of the hardware component, wherein the power consumption value indicates an amount of power used by the hardware component. The processing device determines whether to deactivate the hardware component based on the score.