Battery Rack Failure Detection Using Voltage Trend Intersection
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Solution Overview
Problem
Existing battery monitoring mechanisms rely solely on single state characteristics like voltage or temperature, leading to misjudgments in detecting abnormalities due to the lack of consideration for other state characteristics, particularly in overvoltage or overheating conditions.
Innovation Solution
A failure detection system for battery racks that combines voltage and temperature data analysis, using a micro-controller to compute voltage and temperature trends, slopes, and deviations to generate alarm messages when abnormal conditions are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single state characteristic monitoring is used, then the monitoring system is simple, but the detection precision is low leading to misjudgments
Solution Approach 1:
The patent combines multiple state characteristics (voltage, current, temperature) into a unified monitoring system that evaluates battery health comprehensively. The microcontroller integrates data from various sensors and applies multi-dimensional analysis including trend analysis, differential analysis, and correlation analysis to achieve accurate anomaly detection without relying on single parameter thresholds.
Solution Approach 2:
The patent introduces temporal dimension by analyzing voltage and temperature trends over time, not just instantaneous values. It computes rate of change, compares historical data, and identifies abnormal patterns through multi-timeframe analysis, transforming static threshold monitoring into dynamic multi-dimensional evaluation that significantly improves detection precision.
2Measurement precision
If temperature increase is used as the only criterion, then the detection method is simple, but the detection accuracy is low due to ignoring device operation state
Solution Approach 1:
The system performs preliminary classification of device operation states (charging, discharging, idle) before evaluating temperature anomalies. By pre-establishing state-dependent temperature thresholds and evaluation criteria, the system avoids misjudging normal temperature variations during operation as abnormalities, thereby improving detection accuracy without requiring complex real-time adjustments.
Solution Approach 2:
The patent dynamically adjusts temperature evaluation parameters based on device operation state. Different operation modes have different acceptable temperature ranges and rate-of-change thresholds. The system modifies evaluation criteria according to the current state, allowing simple threshold-based detection to remain accurate across varying operational conditions.
3Measurement precision
If comprehensive multi-characteristic analysis is performed, then the detection precision is improved, but the computation complexity increases
Solution Approach 1:
The patent segments the comprehensive analysis into distinct computational modules: voltage trend analysis, temperature trend analysis, differential analysis, and correlation analysis. Each module handles specific computations independently, allowing the microcontroller to process multiple characteristics systematically without overwhelming computational burden, while maintaining high detection precision through integrated results.
Data Source
AI summary
A failure detection method for battery racks is disclosed and includes: continuously computing a voltage difference data in a computation frequency; computing a standard deviation by using the voltage difference data retrieved from each battery rack up to present; obtaining a first voltage trend and a second voltage trend according to the voltage difference data in a first period and the voltage difference data in a second period when the standard deviation is greater than a preliminary-filtered threshold; computing an intersection of the first voltage trend and the second voltage trend to obtain a voltage trend status; computing a voltage slope according to the voltage difference data of the second period; and generating an alarm message when the voltage trend status is abnormal and the voltage slope is greater than a slope threshold, where the alarm message indicates the position of a battery cell occurring overvoltage status.