Battery Cell Voltage Comparison 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 novel logic that identifies deviations from these values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
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 patent segments the battery cell population into different groups based on their voltage characteristics. By dividing cells into first diagnosis target cells (higher voltage group) and second diagnosis target cells (lower voltage group), the system can apply different comparison strategies to each segment, enabling detection of abnormal cells that would otherwise operate within the overall normal voltage range.
Solution Approach 2:
The patent changes the reference parameter from a fixed predetermined voltage range to dynamic reference values based on actual measured cell voltages. By setting comparison references as the maximum and minimum voltages among battery cells and updating these references periodically, the system adapts to varying operating conditions and detects deviations that indicate abnormal cells.
2Measurement precision
If a predetermined voltage range is used for diagnosis, then the diagnosis criterion is clear, but cells with defects operating within this range remain undetected
Solution Approach 1:
The patent implements a feedback mechanism where the system periodically measures cell voltages, compares them against dynamically updated reference values (maximum and minimum voltages), and uses the comparison results to identify abnormal cells. This continuous feedback loop allows the system to adapt to changing conditions and detect cells that deviate from the group behavior, even when operating within the overall normal voltage range.
Solution Approach 2:
The patent performs preliminary sorting and grouping of battery cells based on their voltage characteristics before conducting the actual abnormality diagnosis. By pre-identifying first and second diagnosis target cells based on their relative voltage positions, the system prepares the data structure needed for effective comparison and detection, enabling more precise identification of abnormal cells.
Data Source
AI summary
A battery system comprises: a battery pack including multiple battery cells; and a battery management system which measures the cell voltages of the multiple battery cells at the time of wake-up so as to configure numbers of the multiple battery cells, periodically measures the cell voltages of the multiple battery cells after the wake-up so as to detect a maximum cell voltage and a minimum cell voltage, compares the minimum cell voltage with the cell voltage of at least one first battery cell to be diagnosed, compares the maximum cell voltage with the cell voltage of at least one second battery cell to be diagnosed, and diagnoses, according to the results of the comparisons, whether the battery cells to be diagnosed are abnormal.