Adaptive Energy Profile Management for Mobile Devices
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Solution Overview
Problem
Mobile cellular devices face operational issues due to low battery levels, with existing solutions either deactivating applications or providing power optimization tools mainly for developers, lacking user-friendly monitoring and adaptive energy management.
Innovation Solution
An apparatus and method that monitors electrical energy storage devices, displays usage parameters, allows users to select and adapt profiles, and automatically adjusts settings to conserve energy, enabling users to extend device operation time without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If applications are deactivated to conserve energy, then energy consumption is reduced, but device functionality and user convenience deteriorate
Solution Approach 1:
The system dynamically adjusts apparatus settings and application activation status based on real-time battery charge levels. Different profiles (e.g., power-saving mode, performance mode) are automatically or manually selected to optimize the balance between energy conservation and functionality based on current energy availability.
Solution Approach 2:
The system changes operational parameters such as display brightness, processor clock speed, and network transmission power based on battery charge thresholds. These parameter adjustments allow the device to consume less energy while maintaining acceptable functionality across different battery states.
2Ease of operation
If detailed energy monitoring and profile management features are added, then user control over energy consumption improves, but device complexity increases
Solution Approach 1:
The system automatically monitors battery charge levels and applies appropriate profiles without requiring continuous user intervention. The automatic profile selection and setting adjustment mechanisms handle energy management tasks autonomously, reducing the perceived complexity for users while maintaining detailed control capabilities.
Solution Approach 2:
Energy management is divided into discrete profiles and settings categories (display, processor, network, applications). This segmentation allows users to control specific aspects of energy consumption independently, making the complex system more manageable and understandable.
3Ease of operation
If automatic profile selection is implemented, then ease of operation improves, but adaptability to user preferences may worsen
Solution Approach 1:
The system incorporates feedback mechanisms where user selections and manual profile changes are learned and stored. The automatic profile selection adapts over time based on user behavior patterns, allowing the system to become increasingly tailored to individual preferences while maintaining automatic operation.
Solution Approach 2:
The profile system is designed to be universally applicable with multiple pre-configured profiles covering different usage scenarios. Users can switch between automatic and manual mode, and the system supports both generic and customized profiles, making it adaptable to diverse user needs and preferences.
Data Source
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AI summary
An apparatus (10) comprising: at least one memory (16) storing computer program instructions; at least one processor (14) configured to execute the computer program instructions to cause the apparatus (10) at least to perform: determining values of one or more parameters of an electrical energy storage device (28) for a plurality of profiles of the apparatus (10), the plurality of profiles being defined by one or more user programmable apparatus settings; and performing a function using the determined values of the one or more parameters of the electrical energy storage device (28).