Battery Block Monitoring Using Deviation Mapping for Anomaly Detection
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Solution Overview
Problem
Existing methods for monitoring battery blocks in a battery storage lack the ability to detect anomalous states, particularly safety-relevant ones, without relying on an ideal or perfectly normal battery as a reference and are not sufficiently unobtrusive.
Innovation Solution
A method that utilizes voltage and current measurements to calculate deviation values from an average of battery blocks, creating a mapping of these values to detect anomalous states by emphasizing extreme values, allowing for the detection of potentially safety-relevant states and manufacturing defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voltage measurements of battery blocks are monitored using average voltage as reference, then the monitoring method is simple and unobtrusive, but the ability to detect anomalous states is insufficient
Solution Approach 1:
The patent transforms the monitoring approach by changing from using absolute voltage values to using deviation values that represent relative differences from the average. This parameter transformation enables the detection of anomalous states while maintaining the simplicity of the monitoring method, as the deviation values are calculated directly from the voltage measurements without requiring complex reference systems.
Solution Approach 2:
The patent implements a feedback mechanism where the average voltage of all battery blocks is continuously calculated and used as a reference to determine deviation values. This self-referencing feedback loop allows the system to automatically detect anomalies without external intervention or ideal reference batteries, resolving the contradiction between operational simplicity and detection reliability.
2Reliability
If deviation values are calculated from voltage measurements, then anomalous states can be detected, but the complexity of the monitoring method increases
Solution Approach 1:
The patent applies the self-service principle by having the battery blocks themselves provide the reference values needed for anomaly detection. The average voltage is calculated from the voltage measurements of the battery blocks themselves, creating a self-referencing system that eliminates the need for external ideal reference batteries or complex monitoring equipment, thus maintaining low complexity while achieving reliable anomaly detection.
3Reliability
If extreme deviation values are emphasized in the mapping, then the detection of safety-relevant states is improved, but the processing requirements increase
Solution Approach 1:
The patent applies partial action by focusing the analysis only on extreme deviation values rather than processing all possible voltage measurements in detail. By identifying and emphasizing only the most significant deviations from the average, the system achieves improved detection of safety-relevant states while minimizing processing requirements, as only the extreme values need to be processed and evaluated for anomaly detection.
Data Source
AI summary
A system and a method of monitoring the behavior of battery blocks (b1,…,bn) connected in series. For each of a plurality of points in time (t0,t -1,t -2), and for each battery block, a deviation value (ΔUb1,…,ΔUbn) is calculated, being a voltage deviation of the voltage measurement from an average (M) of the voltage measurements (Ub1,…,Ubn) of the battery blocks, or is a corresponding charge deviation. A mapping of voltage values (U1,…,Uz) or current values to deviation values (ΔU1,…,ΔUz) is determined. To each voltage or current value is assigned an extreme value of those deviation values of the battery block that have been calculated for points in time at which a voltage or current measurement has been measured that corresponds to the voltage or current value. The mapping is evaluated to detect a potentially anomalous state of the battery block.