Intelligent Power Source Manager for Mobile Devices
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Solution Overview
Problem
Mobile devices face significant power management challenges due to continuous tasks that require frequent network access and multi-tasking, leading to high power consumption and reduced battery life, with existing solutions lacking automatic regulation and coordination of power usage based on consumption patterns.
Innovation Solution
An intelligent power source manager is introduced to analyze and manage power consumption by scheduling tasks, delaying or disabling them based on historical usage patterns, charge levels, and user context, allowing for optimized power preservation and extended battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If applications continuously access network content to maintain real-time functionality, then service reliability and up-to-date content are improved, but power consumption increases significantly
Solution Approach 1:
The patent implements periodic content updates instead of continuous access. The system determines optimal update intervals based on historical data and user behavior patterns, allowing applications to refresh content at strategic moments rather than continuously pinging network sources, thus reducing radio circuitry usage and power consumption while maintaining service reliability
Solution Approach 2:
The power management system operates autonomously by collecting, analyzing, and acting on consumption data without requiring user intervention. It automatically adjusts application behavior, schedules updates, and coordinates task execution based on battery charge levels and historical patterns, enabling the system to self-regulate power consumption while maintaining functional reliability
2Adaptability or versatility
If multiple applications and processes execute simultaneously for functional versatility, then device capability and user productivity are improved, but processor load and power usage increase
Solution Approach 1:
The system dynamically adjusts application execution based on real-time conditions. It monitors battery charge levels, historical consumption patterns, and current usage scenarios to dynamically schedule, delay, or disable specific applications and processes, allowing the device to adapt its functional capability to current power availability while maintaining versatility when needed
Solution Approach 2:
The system performs preliminary analysis of consumption patterns and schedules tasks in advance. By analyzing historical data beforehand, it pre-determines optimal execution times for applications, allowing the processor to prepare and sequence tasks efficiently, reducing simultaneous processing requirements and associated power consumption
3Ease of operation
If tasks are executed immediately to respond to user needs, then user experience and responsiveness are improved, but power consumption increases due to frequent network access
Solution Approach 1:
The system continuously collects feedback on actual consumption patterns, user behavior, and battery performance. This feedback loop allows the power management system to refine its scheduling algorithms, determining the optimal balance between immediate user responsiveness and power conservation by learning from actual usage scenarios and adjusting future task execution accordingly
Data Source
AI summary
An approach for conserving power of a mobile device based on its pattern of use with respect to one or more tasks is described. An intelligent power source manager collects consumption information relating to a power source of a mobile device for execution of one or more tasks. A pattern of use with respect to the one or more tasks based on the collected consumption information is then determined. The intelligent power source manager then selects an action to conserve usage of the power source, according to the pattern of use, in response to subsequent execution of the one or more tasks.