Battery Safety Management System for Authenticity Verification
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Solution Overview
Problem
Rechargeable batteries in mobile computing devices face safety hazards due to the risk of low-quality or inauthentic battery cells, which can lead to overcharging, swelling, and potential explosions, as well as user unawareness of recalls or defects, resulting in unsafe charging conditions.
Innovation Solution
An intelligent battery safety management system that compares charge/discharge curve data with reference data to detect non-authentic or defective batteries, prevents overcharging, and updates reference information periodically to ensure battery safety, allowing the system to automatically reduce charge levels or notify users of potential hazards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the battery pack is left in a charged state for extended periods, then the battery remains ready for immediate use, but safety hazards increase due to potential swelling, internal short-circuits, and overcharging risks
Solution Approach 1:
The system performs preliminary detection by comparing charge/discharge curve data with reference data to identify non-authentic or defective batteries before charging occurs. This advance detection prevents safety hazards from developing during extended charging periods while maintaining battery readiness.
Solution Approach 2:
The system continuously monitors battery characteristics by comparing operational data with reference data and provides feedback to control the charging process. This feedback mechanism allows the system to adjust charging behavior based on detected battery conditions, preventing overcharging and safety hazards while maintaining readiness.
2Reliability
If the system implements continuous monitoring and comparison of battery operational data, then battery safety is improved, but device complexity increases
Solution Approach 1:
The system uses reference data (copies of authentic battery charge/discharge curves) to compare against actual battery operational data. This copying approach enables safety verification without requiring complex analysis algorithms, simplifying the system while maintaining high reliability.
Solution Approach 2:
The system transforms complex battery safety verification into a parameter comparison task by monitoring charge/discharge curve characteristics. This parameter-based approach simplifies the monitoring system while maintaining comprehensive safety coverage through characteristic curve analysis.
3Object-affected harmful factors
If the system prevents charging of non-authentic or defective batteries, then safety hazards are reduced, but productivity decreases due to charging restrictions
Solution Approach 1:
The system performs preliminary authentication and defect detection by comparing battery curve data with reference data before allowing charging to proceed. This preliminary action ensures that only authentic, defect-free batteries are charged, preventing safety hazards while maintaining productivity for legitimate batteries.
Solution Approach 2:
The charge/discharge curve comparison serves as an intermediary verification mechanism between the battery and charging system. This intermediary process efficiently authenticates batteries and detects defects without requiring complex hardware modifications, balancing safety with charging productivity.
Data Source
AI summary
A method and apparatus for intelligent battery safety management. Some embodiments of a method for managing battery operation may include receiving a battery pack in a device, where the battery pack is rechargeable and includes a battery cell. In some embodiments data may be collected regarding the operation of the battery cell in the device, and the collected data may be compared with a set of battery reference data. In some embodiments a determination may be made whether the battery cell is non-authentic or defective based at least in part on the comparison between the collected data and the battery reference data.