Energy Storage Battery Anomaly Detection via Deterioration Rates
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Solution Overview
Problem
Energy storage systems often operate abnormally, leading to a reduction in guaranteed capacity, which existing methods fail to detect effectively.
Innovation Solution
A method and system for detecting abnormal operations in energy storage systems by calculating deterioration acceleration parameters based on operation information, including temperature, usage time, and state-of-charge data, and performing simulations to predict hourly deterioration rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing monitoring methods are used for energy storage systems, then basic operational data can be collected, but abnormal operations leading to capacity reduction cannot be effectively detected
Solution Approach 1:
The patent transforms operational data into deterioration acceleration parameters by changing the parameter representation from raw operational values to rate-of-change metrics. This allows the system to detect abnormal operations that cause capacity reduction by measuring how quickly deterioration is accelerating, rather than just monitoring static operational parameters.
Solution Approach 2:
The patent performs simulations to calculate predicted hourly deterioration rates before actual significant capacity loss occurs. By predicting deterioration trends in advance based on current operational patterns, the system can issue warnings and take preventive actions before the energy storage system suffers substantial capacity reduction.
2Reliability
If comprehensive operation information is collected for accurate deterioration analysis, then abnormal operations can be detected, but system complexity increases
Solution Approach 1:
The patent extracts only the essential parameters needed for deterioration analysis from comprehensive operational data. Instead of processing all available operational information, the system identifies and extracts key parameters such as temperature, charge-discharge cycles, and state-of-charge ranges that most directly influence battery deterioration, simplifying the analysis while maintaining detection accuracy.
Solution Approach 2:
The patent introduces deterioration acceleration parameters as an intermediary metric between raw operational data and capacity assessment. This intermediary transformation layer simplifies the relationship between complex operational variables and capacity degradation, making the system more manageable while preserving the ability to detect abnormal operations.
Data Source
AI summary
A method for detecting an abnormal operation of an energy storage system, includes: receiving operation information from the energy storage system; calculating deterioration acceleration parameters of a battery of the energy storage system based on the operation information; and detecting that the energy storage system is operating abnormally based on the calculated deterioration acceleration parameters.