Battery Cell Voltage Ranking for Hidden Abnormality Diagnosis
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Solution Overview
Problem
Existing battery cell diagnosis methods fail to detect defects in cells operating within normal voltage ranges, leading to undetected abnormalities.
Innovation Solution
A battery management system periodically measures cell voltages and compares maximum and minimum voltages to diagnose abnormal cells by setting specific diagnosis target battery cells based on their relative voltages, using a method that does not require modifying existing circuits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional cell voltage range diagnosis is used, then the diagnosis method is simple, but abnormal cells operating within normal voltage ranges cannot be detected
Solution Approach 1:
The invention changes the diagnostic parameter from absolute cell voltage to relative voltage differences between cells. By comparing each cell's voltage against the maximum and minimum voltages in the battery pack, the system can detect abnormal cells even when their absolute voltage remains within the normal operating range. This parameter transformation enables detection of subtle voltage deviations that indicate cell defects.
Solution Approach 2:
The diagnosis process is segmented into distinct phases: wake-up time measurement and post-wake-up periodic measurement. Additionally, cells are segmented into different diagnosis target groups (first diagnosis target cells with highest voltage, second diagnosis target cells with lowest voltage) based on their voltage rankings. This segmentation allows targeted diagnosis of specific cell subsets, improving detection accuracy while managing system complexity.
2Productivity
If cell voltage is monitored continuously, then detection speed improves, but energy consumption increases
Solution Approach 1:
The system implements periodic voltage measurement instead of continuous monitoring. Cell voltages are measured at wake-up time and then periodically after wake-up, rather than continuously. This periodic action maintains detection capability while significantly reducing energy consumption compared to continuous monitoring, as the measurement function is activated only at specific intervals rather than constantly.
Data Source
AI summary
A battery system includes: a battery pack including a plurality of battery cells; and a battery management system for setting numbers to the battery cells by measuring cell voltages of the respective battery cells at a wake-up time, detecting a maximum cell voltage and a minimum cell voltage by periodically measuring the cell voltage of the respective battery cells after the wake-up, comparing the minimum cell voltage and the cell voltage of at least one first diagnosis target battery cell, comparing the maximum cell voltage and the cell voltage of at least one second diagnosis target battery cell, and diagnosing whether the diagnosis target battery cell is abnormal according to results of the comparison.