Rechargeable Battery Classification via Stable Charging Current
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Solution Overview
Problem
Existing battery classification methods are complex and inefficient, particularly in distinguishing the quality of rechargeable batteries based on their stable charging current after full charge, which is crucial for accurate categorization and management.
Innovation Solution
A simplified and automated classification method that detects and utilizes the stable charging current of rechargeable batteries as a basis for categorization, where batteries are charged with a constant voltage and current, and classified based on whether their stable current is below a predetermined threshold, allowing for efficient categorization into different categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple data information is collected and fuzzy clustering algorithm is used for battery classification, then classification accuracy is improved, but system complexity increases
Solution Approach 1:
The patent extracts only the essential characteristic parameter (stable charging current after full charge) from the complex multi-dimensional battery data, discarding redundant information. This extraction approach maintains classification accuracy by focusing on the most discriminative feature while significantly reducing system complexity and computational requirements
Solution Approach 2:
The patent uses a simplified measurement approach that copies only the essential classification information (stable charging current) rather than replicating the entire complex multi-parameter measurement and processing system. This allows accurate classification with a much simpler system architecture
2Measurement precision
If multiple data information and fuzzy clustering algorithm are used, then classification accuracy is improved, but processing time increases
Solution Approach 1:
The patent extracts only the essential characteristic parameter (stable charging current after full charge) from the complex multi-dimensional battery data, discarding redundant information. This extraction approach maintains classification accuracy by focusing on the most discriminative feature while significantly reducing system complexity and computational requirements
Solution Approach 2:
The patent skips the time-consuming steps of collecting multiple data types and performing complex fuzzy clustering computations. Instead, it directly measures the stable charging current after full charge and uses a simple threshold comparison method, rushing through the classification process with minimal processing time while maintaining accuracy
Data Source
AI summary
The present invention provides a classification method and system for rechargeable batteries based on stable charging current or current leakage. A charging current should be zero theoretically when a rechargeable battery is fully charged, however, due to self-discharging effect, there exists a current leakage even after the battery is fully charged. Rechargeable batteries can be classified based on their stable charging current after being fully charged. Different classified rechargeable batteries can be adopted for different purposes.