Adaptive Charge Start Point for Mobile Terminal Battery Lifespan
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile terminal batteries experience accelerated aging and reduced lifespan due to frequent cyclic charging, especially in users who rarely use the battery-powered mode, leading to premature replacement and potential safety risks.
Innovation Solution
A charge management method that dynamically adjusts the charge start point based on the battery's usage patterns by analyzing the remaining capacity over a set interval, calculating a new optimal charge start point using an adaptive algorithm, and updating the initial start point to minimize frequent charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the battery is charged frequently in AC-powered mode, then the battery remains ready for use, but the battery aging accelerates and lifespan reduces
Solution Approach 1:
The patent implements dynamic charge start point adjustment based on user behavior patterns. The system continuously monitors usage data and adapts the charging strategy in real-time, transitioning from static fixed thresholds to dynamic adaptive thresholds that respond to actual user needs, thereby reducing unnecessary charging cycles while maintaining battery readiness.
Solution Approach 2:
The system performs autonomous charge management by automatically analyzing user behavior patterns and determining optimal charging strategies without user intervention. The embedded controller autonomously adjusts charge start points based on gathered usage data, eliminating the need for manual user decisions while extending battery lifespan.
2Device complexity
If a fixed charge start point (e.g., 96%) is used, then the charging process is simple to control, but it causes continuous cyclic charging and accelerated battery aging
Solution Approach 1:
The patent transforms the static fixed charge start point into a dynamic adaptive threshold that changes based on user behavior patterns. The system monitors usage data over time and automatically adjusts the charge start point, making the control strategy adaptive rather than fixed, thereby extending battery lifespan while maintaining automated simplicity.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user usage patterns and using this information to adjust future charging decisions. The embedded controller gathers usage data, analyzes patterns, and feeds this information back into the charging control logic to optimize the charge start point dynamically.
3Ease of operation
If manual charge control is implemented, then users can decide when to charge, but ordinary users cannot make optimal decisions for battery maintenance
Solution Approach 1:
The system transfers charge management expertise from users to the embedded controller. The system autonomously analyzes usage patterns and makes optimal charging decisions without requiring user knowledge of battery maintenance principles, thereby maintaining both ease of operation and high-quality battery maintenance.
Solution Approach 2:
The embedded controller acts as an intermediary between the user's charging needs and the battery's maintenance requirements. It translates user behavior patterns into optimized charging strategies, mediating between simple user interaction and complex battery maintenance requirements.
4Adaptability or versatility
If user behavior analysis is implemented, then charging can be optimized for each user, but the system complexity increases
Solution Approach 1:
The system performs self-analysis of user behavior patterns using the embedded controller's processing capabilities. By leveraging existing system resources for data gathering and analysis, the patent minimizes additional hardware complexity while achieving personalized charge optimization through software-based behavior analysis.
Data Source
AI summary
The present invention provides a charge management method for a battery in a mobile terminal having the steps of: setting an initial charge start point; setting a statistic analysis interval for gathering the remaining capacity of the battery at time of start and creating a statistic array for recording the remaining capacity of the battery upon each power-on operation in the statistic analysis interval; reading current remaining capacity of the battery and storing it sequentially in the statistic array; calculating a new charge start point based on a predetermined adaptive algorithm; and updating the initial charge start point with the new charge start point. The present invention also provides a charge management apparatus for a battery in a mobile terminal. With the present invention, it is possible to set an optimal charge start point through measurements, and thus lengthen the battery's lifetime. Especially for users who rarely use a battery to supply power, the battery's lifetime can be considerably extended in a smart way, and the safety of use of battery is improved.