Battery Bank Voltage Variance Diagnosis for Lithium Plating
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Solution Overview
Problem
Conventional methods for diagnosing lithium precipitation in batteries are inadequate due to minimal voltage changes during the rest period, making it difficult to accurately determine abnormal voltage conditions.
Innovation Solution
A battery management apparatus and method that measures and analyzes voltage variances of battery banks, using a controller to calculate and rank battery banks based on voltage differences and deviations, enabling accurate diagnosis of lithium precipitation and electrode tab disconnections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voltage data from rest period is used for diagnosing lithium precipitation, then diagnosis capability is provided, but measurement precision deteriorates due to minimal voltage changes
Solution Approach 1:
The patent segments the voltage analysis into multiple components: first voltage (voltage variance in specific period), second voltage (based on max and average of first voltages), and reference voltage (ratio calculation). This segmentation allows extraction of meaningful diagnostic information from minimal voltage changes by analyzing voltage behavior patterns rather than absolute values.
Solution Approach 2:
The patent transitions from measuring voltage in a single dimension to analyzing it across multiple dimensions: time-based variance analysis, statistical comparison (max/average), and ratio calculations. This multi-dimensional approach amplifies subtle voltage changes that would be invisible in single-point measurements.
2Ease of operation
If conventional voltage diagnosis method is used, then simple measurement is maintained, but detection accuracy deteriorates for abnormal voltage conditions
Solution Approach 1:
The patent implements a feedback-based diagnostic algorithm where the controller continuously compares first voltages against established thresholds (LT and UT) and uses the results to determine whether to initialize, accumulate, or calculate reference values. This feedback loop enables accurate detection of abnormal conditions while maintaining operational simplicity through automated decision-making.
Solution Approach 2:
The patent changes the measurement parameters from simple voltage magnitude to voltage variance, statistical derivatives (max/average ratios), and time-based characteristics. These parameter transformations enable detection of subtle abnormalities that conventional voltage measurement would miss.
Data Source
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AI summary
A battery management apparatus according to an embodiment disclosed herein includes a voltage measurement unit configured to measure a voltage of each of a plurality of battery banks and a controller configured to calculate a first voltage, which is a voltage variance of each of the plurality of battery banks in a specific period, calculate a second voltage of each of the plurality of battery banks based on a maximum value among first voltages of the plurality of battery banks and an average of the first voltage of each of the plurality of battery banks, and diagnose at least one battery bank among the plurality of battery banks based on an average value of second voltages of the plurality of battery banks and the second voltage of each of the plurality of battery banks.