Battery Charging Stage Prediction to Prevent Overvoltage
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Solution Overview
Problem
Existing battery charging methods using staged charging strategies face issues with overvoltage due to delays in switching between charging stages, leading to battery damage.
Innovation Solution
A real-time monitoring and switching method that determines the current state and expected state parameters of the battery to switch charging stages before overvoltage occurs, using a battery management chip and machine learning models to predict voltage changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If staged charging strategy is used to increase charging rate, then charging duration is reduced, but delay in switching between stages causes overvoltage and battery damage
Solution Approach 1:
The system performs preliminary calculation of expected state parameters (voltage, temperature, SOC) before the battery actually reaches the switching threshold. By predicting future states based on current charging parameters and battery characteristics, the system switches charging stages in advance, preventing overvoltage conditions from occurring during the transition delay.
Solution Approach 2:
The system continuously monitors actual battery state parameters and compares them with expected parameters. This feedback mechanism allows the system to detect deviations caused by switching delays and adjust subsequent switching timing accordingly, ensuring reliable operation while maintaining high charging rates.
2Reliability
If real-time monitoring and prediction is implemented to prevent overvoltage, then battery safety is improved, but system complexity increases
Solution Approach 1:
The battery management chip performs self-testing and self-diagnosis by monitoring its own operating parameters. The system uses built-in sensors and calculation capabilities to predict its own state parameters without requiring external monitoring equipment, reducing overall system complexity while maintaining safety.
Solution Approach 2:
The system transforms the control approach from monitoring multiple physical parameters (voltage, current, temperature) to calculating derived parameters (SOC, expected voltage, expected temperature) based on charging history and battery characteristics. This parameter transformation simplifies the monitoring requirements while improving prediction accuracy.
Data Source
AI summary
A charging control method, and an electronic device and/or a storage medium implementing the charging control method, includes: determining a current state parameter of a battery, wherein the battery is charged with a first charging parameter corresponding to a first charging stage defined in a staged charging strategy; determining an expected state parameter of the battery after continuing to be charged for a preset time period based on the current state parameter and the first charging parameter; and charging the battery with a second charging parameter corresponding to a second charging stage defined in the staged charging strategy, when the expected state parameter matches the second charging stage.


