Battery Charging Method Using Historical Usage Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional battery charging methods for portable electronic devices are inflexible and cannot adapt to user usage habits, leading to unsatisfactory charging times and potential battery degradation.
Innovation Solution
A battery charging method that obtains historical usage data to predict charging needs, offering users a menu of charging modes based on calculated charging times, allowing selection of appropriate charging currents to optimize battery charging according to user needs and extend battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed charging current is used to charge the battery, then the charging process is simple, but the charging time becomes unsatisfactory and cannot adapt to user needs
Solution Approach 1:
The charging current is transformed from a fixed value to a dynamic value that changes based on historical usage data. The system calculates a predicted charging current by analyzing past working durations and correlating them with charging capacity, allowing the charging process to adapt automatically to user behavior patterns while maintaining operational simplicity
Solution Approach 2:
The system incorporates feedback mechanisms by continuously monitoring historical working durations and using this data to adjust the charging current. The predicted working duration derived from historical data feeds back into the charging control algorithm, creating a closed-loop system that optimizes charging time based on actual user usage patterns
2Device complexity
If a fixed charging current is used, then the charging method is simple, but the battery may degrade prematurely even when not heavily used
Solution Approach 1:
The charging current parameter is dynamically adjusted based on historical usage data and predicted working duration. By changing the charging current from a fixed parameter to a variable parameter determined by actual usage patterns, the system prevents excessive current application that would accelerate battery degradation while maintaining simple charging hardware
3Productivity
If historical data analysis is implemented to predict charging needs, then charging time is optimized and battery life is extended, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically collecting historical working duration data and using this data to determine the optimal charging current without requiring user intervention. The predicted working duration is calculated autonomously from historical patterns, and the charging process is automatically adjusted based on this prediction, reducing the need for complex user interfaces or manual configuration
Data Source
AI summary
A battery charging method is disclosed. The method includes: obtaining historical working durations in which the electronic device was powered by a battery of the electronic device; in response to an electronic device connected to a charging power source, obtaining a remaining battery level and a target capacity of a battery of the electronic device, and accordingly defining a capacity to be charged; obtaining a current system time when the electronic device is connected to the charging power source; obtaining a specific time difference between the current system time and a predicted working duration, wherein the predicted working duration is a specific working duration chosen from the historical working durations subsequent to the current system time; and using the capacity to be charged to correspond to the specific time difference to obtain a predicted charging current value.