Battery Cell Abnormality Monitoring Using Voltage Distance Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for monitoring energy storage cell consistency in battery modules are complex and inefficient, making it difficult to identify and address abnormal cells, which can lead to hazards such as combustion and explosions.
Innovation Solution
A method and apparatus that obtain valid state data from cells in a battery module, calculate discrete statistical state characteristics, and determine abnormal cells by averaging distances between these characteristics, allowing for efficient identification of inconsistent cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods use internal resistance, voltage difference, and capacity difference to determine cell consistency, then measurement precision is improved, but device complexity and monitoring efficiency deteriorate
Solution Approach 1:
The patent extracts only the necessary monitoring function from complex multi-parameter analysis, focusing solely on voltage data to determine cell consistency. This simplifies the monitoring system while maintaining effectiveness by removing unnecessary measurement components and concentrating on the most critical parameter for detecting abnormal cells.
Solution Approach 2:
The patent creates a simplified model of cell state using only voltage data, copying the essential information needed for consistency assessment without requiring complex multi-parameter measurement systems. This allows efficient monitoring by representing cell states through voltage characteristics alone.
2Measurement precision
If current methods check multiple parameters (internal resistance, voltage, capacity) for each cell, then measurement precision is improved, but productivity and monitoring efficiency deteriorate
Solution Approach 1:
The patent extracts only the essential voltage parameter for monitoring cell consistency, eliminating the need to measure internal resistance, capacity, and other parameters. This extraction approach maintains detection precision for abnormal cells while dramatically improving monitoring efficiency and productivity.
Solution Approach 2:
The patent applies partial action by monitoring only voltage data rather than all possible cell parameters. This partial monitoring approach is sufficient for detecting abnormal cells and maintains measurement precision while significantly reducing the time and resources required for comprehensive cell assessment.
3Reliability
If comprehensive cell parameters are monitored to ensure safety, then reliability is improved, but device complexity and loss of time increase
Solution Approach 1:
The patent extracts voltage as the key indicator for cell safety and abnormality detection, eliminating the need for time-consuming measurements of internal resistance, capacity, and other parameters. This ensures battery module safety through reliable abnormal cell identification while minimizing monitoring time and operational disruptions.
Data Source
AI summary
A method and an apparatus for monitoring energy storage cell abnormality, an electronic device, and a medium are provided. The method includes: obtaining valid state data of a first cell in a battery module at a preset time; obtaining a discrete statistical state characteristic of the first cell based on the valid state data of the first cell; calculating distances between the discrete statistical state characteristic of the first cell and discrete statistical state characteristics of each remaining cells in the battery module separately, averaging the set of distances, to obtain a distance characteristic associated with the first cell; and determining whether the first cell is abnormal based on the distance characteristic of the first cell. Consistency monitoring of each cell in the battery module is implemented based on the state data of each cell, so that an early warning indicative of a possible fault can be issued.