Battery Block Anomaly Detection Using Voltage Deviation Mapping
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Solution Overview
Problem
Existing methods for monitoring battery blocks in a series connection lack the ability to detect anomalous states efficiently and reliably without relying on an ideal reference battery, and often require intrusive measurements.
Innovation Solution
A method that utilizes voltage and current measurements from a battery management system to calculate deviation values and create mappings of these values to detect anomalous states by emphasizing extreme values, using self-generated averages and reference mappings from similar batteries to identify potential safety-relevant or manufacturing defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voltage measurements are taken from all battery blocks to detect anomalous states, then detection reliability is improved, but measurement complexity and system intrusiveness increase
Solution Approach 1:
The patent extracts only the necessary information (voltage deviations) from the complete measurement data of all battery blocks. By calculating deviation values relative to the average voltage and selecting only extreme values, the system reduces measurement complexity while maintaining detection reliability for anomalous states.
Solution Approach 2:
The patent applies partial action by measuring voltage at specific points in time and only for battery blocks showing extreme deviations, rather than continuously monitoring all blocks. This selective monitoring reduces system complexity while maintaining effective anomaly detection.
2Measurement precision
If an ideal reference battery is used to detect anomalous states, then detection precision is improved, but system complexity and cost increase
Solution Approach 1:
The patent enables the battery system to self-diagnose by using the average voltage of its own blocks as a reference. Each battery block's voltage is compared to the group average, allowing the system to identify anomalies without requiring an external ideal reference battery, thereby reducing complexity and cost.
Solution Approach 2:
Instead of using a physical ideal reference battery, the patent creates a virtual reference by calculating the average voltage profile from the battery blocks themselves. This copied reference model allows for anomaly detection without requiring additional physical reference components.
3Reliability
If continuous monitoring of all battery blocks is implemented, then anomaly detection capability is improved, but energy consumption and processing requirements increase
Solution Approach 1:
The patent implements periodic monitoring by selecting specific points in time for voltage measurements rather than continuous monitoring. The system measures voltage at discrete time intervals and only processes data when deviations are detected, significantly reducing energy consumption while maintaining effective anomaly detection capability.
Solution Approach 2:
The patent reduces processing requirements by only analyzing battery blocks that show extreme voltage deviations from the average, rather than continuously processing data from all blocks. This selective processing approach maintains detection capability while reducing computational energy consumption.
Data Source
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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 (10) 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 (10) is evaluated to detect a potentially anomalous state of the battery block.