Battery Cell Anomaly Diagnosis Using Moving-Window Voltage Curves
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Solution Overview
Problem
Existing battery cell anomaly detection methods require extensive computational resources and time due to the need for comparing each cell's voltage with others, and diagnostic errors increase with the number of abnormal cells.
Innovation Solution
A battery diagnosis apparatus that measures cell voltage and determines sub-voltage curves using moving windows, calculates long-term and short-term average values, and compares voltage deviations with thresholds to diagnose anomalies without inter-cell comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If each battery cell's voltage is compared with other cells to detect anomalies, then anomaly detection capability is improved, but computational complexity and time consumption increase
Solution Approach 1:
The patent extracts only the necessary diagnostic information (voltage deviation from average) rather than performing full pairwise comparisons between all battery cells. By calculating each cell's voltage relative to the average voltage of all cells, the system obtains anomaly detection capability without the computational burden of comparing every cell with every other cell.
Solution Approach 2:
The patent transforms the diagnostic approach from direct voltage comparison to voltage deviation analysis. By changing the parameter from absolute voltage values to deviation from average voltage, the system maintains anomaly detection precision while significantly reducing computational complexity, especially when multiple cells are abnormal.
2Measurement precision
If each battery cell's voltage is compared with other cells to detect anomalies, then anomaly detection capability is improved, but diagnostic time increases
Solution Approach 1:
The patent extracts only the essential diagnostic metric (voltage deviation) needed for anomaly detection, eliminating the time-consuming process of performing multiple pairwise comparisons. By computing each cell's deviation from the average voltage, the system achieves rapid diagnosis without sacrificing detection accuracy.
Solution Approach 2:
The patent performs preliminary calculation of the average voltage across all battery cells before individual cell assessment. This preliminary action establishes a reference point that enables quick comparison and anomaly identification, reducing the overall diagnostic time by avoiding repeated full-comparison sequences.
3Measurement precision
If multiple battery cells are diagnosed using comparison methods, then comprehensive anomaly detection is improved, but diagnostic errors increase
Solution Approach 1:
The patent changes the diagnostic parameter from direct voltage comparison to voltage deviation from average. This transformation maintains comprehensive anomaly detection across multiple cells while improving diagnostic reliability, because deviation-based measurement is not affected by systematic shifts in all cell voltages and reduces cumulative errors when multiple cells are abnormal.
Solution Approach 2:
The patent extracts the core diagnostic signal (deviation from average) that remains reliable even when multiple cells are abnormal. By focusing on deviation rather than absolute comparison, the system maintains diagnostic accuracy across scenarios with varying numbers of faulty cells.
Data Source
AI summary
A battery diagnosis apparatus according to the present disclosure is directed to providing a battery diagnosis apparatus, a battery pack, an electric vehicle and a battery diagnosis method for diagnosing anomalies in a single battery cell or each of a plurality of battery cells connected in series using time-dependent changes in cell voltage of each battery cell without a process of comparing the cell voltage of each battery cell with the cell voltage of other battery cell(s).