Adaptive Power Supply Modes for Battery Swelling Risk Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing security risk of terminal device power supply due to varying user usage habits, which can lead to battery explosions or bulging when a single power supply mode is used for an extended period.
Innovation Solution
A method and apparatus that obtain historical power supply data from multiple data sets with different sampling times, select a target data set based on statistical parameters, and determine a power supply mode to better reflect user habits, thereby avoiding prolonged use of a single power supply mode and reducing safety risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a single power supply mode is used for an extended period, then the device operates stably, but the battery safety risk increases due to prolonged high voltage/charge states
Solution Approach 1:
The patent implements dynamic power supply mode adjustment by collecting historical power supply data, analyzing user usage patterns, and automatically switching between different power supply modes (e.g., fast charging, standard charging, conservative charging) based on real-time conditions. This prevents the system from remaining in a single high-voltage state for extended periods, thereby reducing battery safety risks while maintaining operational stability.
Solution Approach 2:
The system changes power supply parameters (voltage, current, charging rate) dynamically based on analyzed user habits and battery state. By adjusting these parameters according to different usage scenarios and time periods, the system avoids prolonged exposure to high-voltage states that could cause battery bulging or explosion, thus resolving the contradiction between stability and safety.
2Object-affected harmful factors
If power supply mode is adjusted frequently, then battery safety risk is reduced, but system complexity increases
Solution Approach 1:
The patent employs feedback mechanisms by continuously monitoring power supply data, analyzing user usage patterns, and using this information to intelligently adjust power supply modes. The system learns from historical data and makes automated decisions, reducing the need for complex manual control while maintaining battery safety through adaptive mode switching based on actual usage conditions.
Solution Approach 2:
The power supply system performs self-adjustment by automatically analyzing its own operational data and user usage patterns to determine optimal charging modes. This self-service capability reduces the need for external intervention and simplifies the control architecture, as the system autonomously manages power supply parameters to minimize safety risks without requiring complex external control mechanisms.
Data Source
AI summary
The present application provides a device power supply method and apparatus, a terminal device and a storage medium, and relates to the technical field of device power supply. The device power supply method comprises: obtaining historical power supply data of a target device, wherein the historical power supply data comprises at least two power supply data sets, and sampling times of power supply data contained in any two power supply data sets are not exactly the same; selecting a target power supply data set from the at least two power supply data sets on the basis of data statistical parameters respectively corresponding to the at least two power supply data sets; determining a power supply mode of the target device according to the target power supply data set; and using the power supply mode to power the target device. The device of the present application can be safely powered.