Battery Cell Potential Monitoring for Weak Cell Detection
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Solution Overview
Problem
Current technologies face challenges in determining a weak cell within a battery, which limits the performance of multi-cell batteries and hinders the adoption of renewable energy sources due to difficulties in energy storage.
Innovation Solution
A system and method that utilize sensors to detect the potential of each battery cell over time, with a computing device identifying outlier cells and filtering out weak cells based on their potential readings, allowing for early detection and prediction of battery performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors detect potential of each cell over time and computing device identifies outlier cells, then measurement precision of battery cell performance is improved, but device complexity increases due to multiple sensors and computing requirements
Solution Approach 1:
The battery system is segmented into individual cells, each monitored by dedicated sensors. The computing device segments the analysis by identifying outlier cells individually rather than treating the battery as a single unit, enabling precise measurement of each cell's potential while managing complexity through modular analysis
Solution Approach 2:
The computing device acts as an intermediary between the sensors and the battery cells. It receives potential data from multiple sensors, processes the information to identify outlier cells, and filters weak cells based on the analysis, thereby managing the complexity of coordinating multiple sensors while achieving high measurement precision
2Reliability
If outlier cells are identified and weak cells are filtered, then reliability of battery performance prediction is improved, but loss of time increases due to data processing and analysis duration
Solution Approach 1:
The system performs preliminary identification of outlier cells and filtering of weak cells during the monitoring period rather than after complete data collection. By continuously analyzing potential data and identifying outliers as they deviate from normal patterns, the system establishes reliable performance predictions earlier, reducing the total analysis time required
Solution Approach 2:
The computing device continuously monitors potential data from sensors and provides feedback by identifying outlier cells when their potential deviates from the norm. This feedback mechanism enables real-time detection and filtering of weak cells, improving prediction reliability without requiring lengthy post-processing analysis periods
Data Source
AI summary
Aspects relate to methods and systems for detecting a weak cell of a battery. The system including a battery including a plurality of cells, a plurality of sensors configured to detect a potential of each cell of the plurality of cells over time for a duration, and a computing device configured to receive the potential of each cell of the plurality of cells, determine at least an outlier cell from the plurality of cells, as a function of the potential of each cell of the plurality of cells, and filter the at least a weak cell as a function of the at least an outlier cell.