Battery Life Prediction Using Cumulative Slippage Correlation
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Solution Overview
Problem
Existing methods for predicting the life of a battery are time-consuming and cumbersome, making it difficult to assess battery life efficiently and detect failures at an early stage.
Innovation Solution
A method and device that calculate cumulative slippage data based on life assessment data, determine a correlation between cumulative slippage and battery performance life using a linear regression model, and predict battery life based on this correlation, utilizing voltage profile data from charge and discharge cycles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If repetitive charging and discharging is performed under conditions similar to actual usage environment to measure battery life, then the battery life prediction accuracy is improved, but the assessment time and complexity increase significantly
Solution Approach 1:
The patent applies preliminary action by performing repetitive charging and discharging cycles (0-250 cycles) in advance to collect voltage profile data before final life prediction. This preliminary data collection enables the establishment of correlation models between cumulative slippage and performance life, so that when actual usage occurs, the battery life can be predicted quickly using the pre-established models without requiring extensive real-time testing.
2Measurement precision
If repetitive charging and discharging is performed under conditions similar to actual usage environment to measure battery life, then the battery life prediction accuracy is improved, but the procedure becomes cumbersome
Solution Approach 1:
The patent extracts the essential features needed for life prediction by focusing only on voltage profile data from charge and discharge cycles. Instead of monitoring all possible battery parameters during repetitive testing, the method selectively extracts voltage data at specific states of charge (0%, 20%, 40%, 60%, 80%, 100%) to calculate cumulative slippage. This extraction of key features simplifies the overall assessment procedure while maintaining prediction accuracy.
3Productivity
If cumulative slippage calculation based on voltage profile data is used to predict battery life, then the assessment time is reduced, but the method complexity increases
Solution Approach 1:
The patent introduces cumulative slippage as an intermediary parameter that bridges the gap between raw voltage profile data and battery life prediction. The cumulative slippage is calculated by comparing voltage profiles across different charge/discharge cycles and accumulating the differences. This intermediary metric simplifies the prediction process by transforming complex voltage data into a single cumulative value that correlates directly with performance life, making the overall method more efficient despite the initial calculation complexity.
Data Source
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AI summary
The present disclosure relates to a method of predicting a life of a battery, including calculating cumulative slippage data based on life assessment data of a target battery, calculating a correlation between the cumulative slippage and a performance life of the target battery, and predicting a life of the target battery based on the correlation.