Battery Cell Lifespan Estimation from Early Degradation Patterns
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Solution Overview
Problem
Current methods for estimating the capacity of battery cells are time-consuming and costly, requiring discharge cycles up to 300 times to assess degradation, which is inefficient for predicting the lifespan of battery cells.
Innovation Solution
A battery management apparatus and method that classify battery cells into classes based on degradation characteristics, using a measuring unit to collect current and voltage data, an analyzing unit to classify cells based on feature patterns, and a determining unit to predict the lifespan of each class.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery cells are discharged up to 300 cycles to check capacity degradation rate, then the capacity estimation accuracy is improved, but the time and cost consumption increases significantly
Solution Approach 1:
The patent applies preliminary action by performing capacity estimation using voltage and current data collected during normal charging and discharging operations, rather than waiting to complete 300 full discharge cycles. The estimation is conducted in advance during the first charge-discharge cycle, allowing early prediction of capacity degradation rate and lifespan without requiring the full 300 cycles of conventional testing.
Solution Approach 2:
The patent uses voltage and current data as a copy or proxy for direct capacity measurement. Instead of performing actual capacity testing through complete discharge cycles, the system analyzes electrical parameters (voltage and current) during normal operation to estimate capacity degradation, creating a simplified model that replicates the information needed without the time-consuming physical testing.
2Measurement precision
If battery cells are classified into multiple classes based on degradation characteristics, then the lifespan prediction accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing battery cells into multiple classes based on their degradation characteristics. The analyzing unit classifies battery cells into different groups according to their capacity degradation patterns, allowing for more accurate lifespan predictions for each class. This segmentation enables differentiated management and prediction strategies for different battery populations without requiring complex individual analysis of each cell.
Data Source
AI summary
Provided is a battery management apparatus including a measuring unit measuring a current and a voltage of battery cells, an analyzing unit classifying the battery cells into a plurality of classes based on a feature obtained from the current and the voltage of the battery cells and a degradation behavior of each of the battery cells, and a determining unit determining a lifespan of the battery cells in a preset manner for each of the plurality of classes.