Adaptive Battery Charging Strategy for Cell Aging and Efficiency
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Solution Overview
Problem
Current battery charging methods often result in low charging efficiency and rapid battery aging due to the use of a single charging mode, which does not account for varying cell characteristics.
Innovation Solution
A charging method that determines and applies different charging strategies based on cell characteristic parameters such as voltage, current, temperature, and charging cycle history, allowing for flexible adjustment of charging parameters like cut-off voltage and current to optimize charging efficiency and prolong battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single charging mode is used, then the charging process is simple, but the charging efficiency is low and battery aging rate is fast
Solution Approach 1:
The charging strategy dynamically adjusts charging parameters based on real-time cell characteristic parameters. The system transitions from a static single charging mode to a dynamic multi-strategy approach, selecting and adjusting charging strategies according to the current state of battery cells, thereby improving charging efficiency while managing complexity through adaptive control
Solution Approach 2:
The system changes charging parameters (such as charging current, voltage, and strategy selection) based on cell characteristic parameters. By monitoring and responding to changes in cell state, the system optimizes charging parameters in real-time to improve charging efficiency and reduce battery aging, balancing performance improvement with controlled system complexity
2Duration of action of stationary object
If a single charging strategy is used, then the control system is simple, but the battery service life is shortened due to fast aging
Solution Approach 1:
The charging system implements feedback control by continuously monitoring cell characteristic parameters and using this information to adjust charging strategies. This closed-loop approach allows the system to adapt to battery aging and cell variations, extending battery service life while maintaining manageable control complexity through systematic feedback mechanisms
Solution Approach 2:
The system transitions from a static charging control approach to a dynamic one that adapts charging strategies based on real-time cell characteristics. This dynamic adjustment enables the system to optimize for battery longevity while managing control complexity through adaptive decision-making based on monitored parameters
3Reliability
If cell characteristic parameters are monitored and multiple charging strategies are applied, then charging efficiency and battery protection are improved, but the charging system complexity increases
Solution Approach 1:
The charging system performs self-diagnosis and self-adjustment by monitoring its own operating parameters and automatically selecting appropriate charging strategies. This self-service capability improves charging reliability through adaptive control while managing system complexity by eliminating the need for external intervention and using automated decision-making based on monitored cell characteristics
Data Source
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AI summary
A charging method, a charging device and a readable storage medium are disclosed. The method includes: obtaining cell characteristic parameters of at least one cell contained in a battery; determining a charging strategy for the battery based on the cell characteristic parameters, different charging strategies corresponding to respective charging parameters; and charging the battery based on the charging strategy. Through the embodiments of the present disclosure, charging parameters may be flexibly adjusted in a charging process so as to improve the charging efficiency.