Charging Schedule Prediction to Prevent Battery Overcharging
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Solution Overview
Problem
Users often fail to monitor and unplug charging adapters from electronic devices in a timely manner, leading to prolonged full charging that can damage batteries and reduce their service life.
Innovation Solution
A method and device for scheduling charging that collect and analyze charging records using weight-point analysis to determine a suggested charging period, dynamically adjusting charging intensity to prevent prolonged full charging, thereby extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the battery is continuously charged after full charging, then the battery maintains full charge availability, but the battery service life is reduced due to prolonged full charging state
Solution Approach 1:
The system performs preliminary analysis of charging records and user habits to predict the optimal charging period in advance. By determining the suggestion charging period before actual charging occurs, the system can proactively schedule charging to end before prolonged full charging damage occurs, rather than reacting after damage has accumulated
Solution Approach 2:
The system continuously collects charging records and uses weight point analysis to analyze user charging habits. This feedback loop allows the system to dynamically adjust and optimize the suggestion charging period based on actual user behavior patterns, improving the accuracy of charging scheduling and better balancing charge availability with battery protection
2Ease of operation
If the user does not monitor charging time, then the operation is simple and convenient, but the charging management is improper leading to battery damage
Solution Approach 1:
The system automatically collects charging records, analyzes user habits through weight point analysis, and generates optimization suggestions without requiring user intervention. The charging management system serves itself by autonomously monitoring charging status, analyzing patterns, and providing scheduling recommendations, eliminating the need for user monitoring while ensuring reliable battery protection
Solution Approach 2:
The patent replaces manual user monitoring and decision-making with an automated electronic system that uses algorithmic analysis of charging records. The mechanical action of user monitoring is substituted with automated data collection, weight point analysis, and suggestion generation, maintaining operational simplicity while dramatically improving charging management reliability
Data Source
AI summary
A method and a device for scheduling charging. The method includes the following steps: multiple charging records are collected; multiple charging time data of the charging records of which charging duration is within a predetermined time range is extracted from the collected charging records; and the charging time data is analyzed by using a way of weight point to obtain a suggestion charging period.


