Battery Discharge Control Using Scene-Based Runtime Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices lack effective methods to accurately predict and manage battery life based on user expectations and usage scenarios, leading to inefficient battery discharge strategies.
Innovation Solution
A method and apparatus that determine an expected use duration, scene mode, and power consumption information to optimize battery discharge by considering actual and expected residual energy, allowing for flexible and accurate battery management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a built-in algorithm is used to predict residual use duration, then battery discharge control can be automated, but prediction accuracy is insufficient to meet user expectations
Solution Approach 1:
The patent segments the battery discharge control into multiple independent modules: scene mode identification module, power consumption information acquisition module, expected use duration acquisition module, and discharge control module. Each module handles a specific aspect of the control process, improving overall prediction accuracy while maintaining manageable system complexity through modular design.
Solution Approach 2:
The system performs preliminary actions by pre-acquiring power consumption information for different scene modes and pre-determining expected use duration before actual discharge control is needed. This allows the system to have prediction data ready in advance, improving real-time prediction accuracy without adding computational complexity during critical discharge decisions.
2Use of energy by moving object
If battery discharge control is optimized for specific scene modes, then power consumption efficiency improves, but the system becomes less adaptable to varying user needs
Solution Approach 1:
The patent implements a universal scene mode identification mechanism that can recognize and adapt to multiple different scene modes (gaming, video playback, music playback, browsing, etc.). The system maintains a library of power consumption information for various scenes and automatically selects the appropriate profile, achieving both specialized optimization for each mode and universal adaptability to user needs through a single flexible framework.
Solution Approach 2:
The system dynamically adjusts discharge control strategies based on real-time scene mode identification and user-provided expected use duration. Rather than using fixed discharge rates, the system continuously adapts the discharge control to match current power consumption characteristics of the active scene mode and align with user expectations, achieving both efficiency and flexibility through dynamic adjustment.
3Measurement precision
If the system acquires detailed power consumption information for different scenes, then discharge control accuracy improves, but information processing complexity increases
Solution Approach 1:
The system performs preliminary acquisition and storage of power consumption information for various scene modes before actual discharge control is needed. By pre-processing and organizing this data in advance, the system reduces real-time information processing complexity while maintaining high discharge control accuracy through ready-accessible, pre-validated power consumption profiles.
Solution Approach 2:
The system automatically identifies scene modes and selects appropriate power consumption information without requiring manual user input or complex real-time analysis. The scene mode identification and information selection processes are self-service automated functions that reduce processing complexity by eliminating manual intervention while maintaining accurate discharge control through intelligent automated decision-making.
Data Source
AI summary
An electronic device includes a battery module. A method for controlling the electronic device includes obtaining an expected use duration of the electronic device; determining a scene mode of the electronic device; determining power consumption information of a scene corresponding to the scene mode, wherein the power consumption information of the scene describes a power consumption of the electronic device in the scene mode; and discharging the battery module based on the expected use duration and the power consumption information of the scene.