Energy Storage Deviation Detection for Early Battery Failure Localization
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Solution Overview
Problem
Existing energy storage systems face challenges in accurately and timely detecting failures in battery cells, leading to potential secondary damage due to the reliance on preset thresholds and lack of information for precise location and type of failures.
Innovation Solution
A deviation detection system utilizing sensors and a control circuit with processors to monitor parameters, compare them to reference values and variations, detect deviations beyond a tolerance margin, and estimate the cause of anomalies to initiate remedial actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If preset absolute limits or thresholds are used for monitoring sensor measurements, then the system can trigger actions when limits are exceeded, but the detection accuracy and timing are insufficient because failures are not detected until preset limits are crossed
Solution Approach 1:
The system performs preliminary action by comparing sensor measurements against dynamically updated reference values that represent normal operating patterns, rather than waiting for fixed thresholds to be exceeded. This allows the system to detect deviations from normal behavior before they reach critical levels, enabling early failure detection and preventing secondary damage.
Solution Approach 2:
The system changes the monitoring parameter from fixed absolute thresholds to dynamic reference values with tolerance margins that adapt to operating conditions. By calculating reference values based on historical data and comparing measurements against these adaptive references with configurable tolerance margins, the system achieves both early detection and accurate differentiation between normal variations and actual failures.
2Device complexity
If preset threshold systems are used for monitoring, then the system structure is simple, but additional information about failure location and type is not provided
Solution Approach 1:
The system implements feedback by continuously comparing sensor measurements against reference values and providing detailed output information about deviations. When a deviation exceeds the tolerance margin, the system identifies the specific sensor involved and the nature of the deviation, providing actionable information about failure location and type while maintaining a relatively simple monitoring structure.
Data Source
AI summary
A system includes a first group of sensors and a control circuit including one or more processors. The first group of sensors is associated with an energy storage module having one or more energy storage devices. The sensors in the first group generate sensor measurements representing one or more parameters of the energy storage module. The control circuit is configured to receive the sensor measurements and determine one or more of a reference value or a reference variation of a specific parameter related to the energy storage module based at least in part on the sensor measurements. The control circuit compares one or more of monitored values or monitored variations of the specific parameter, based on the sensor measurements generated by sensors, to the reference value or the reference variation of the specific parameter and detects a deviation that is greater than a designated tolerance margin.