UHF Battery Fire Diagnosis Through Radiated Electromagnetic Signals
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Solution Overview
Problem
The increasing number of fire accidents in energy storage systems (ESS) due to battery system deterioration or failure necessitates an early detection and prevention system to avoid costly damages and grid instability.
Innovation Solution
A battery fire prevention and diagnosis system utilizing an ultra-high frequency (UHF) sensor to measure radiated electromagnetic waves, analyze signals, and diagnose abnormalities in battery systems, equipped with a data acquiring unit and a diagnosis unit to identify defects and potential fire risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional temperature monitoring methods are used to detect battery abnormalities, then the system structure remains simple, but the detection precision and early warning capability are insufficient
Solution Approach 1:
The patent replaces traditional temperature-based mechanical/thermal monitoring systems with an electromagnetic wave-based detection system using UHF sensors. This substitution enables early detection of battery abnormalities through electromagnetic radiation signals before thermal effects occur, significantly improving detection precision while maintaining acceptable system complexity through integrated sensor modules
Solution Approach 2:
The patent introduces electromagnetic wave signals as an intermediary medium to detect battery internal states. The UHF sensor captures electromagnetic radiation emitted by defective batteries, serving as a non-contact intermediary that provides early warning of battery failures without requiring direct physical or thermal contact with the battery cells
2Reliability
If multiple batteries are monitored simultaneously to prevent fire accidents, then the reliability of the system improves, but the complexity of the monitoring system increases
Solution Approach 1:
The patent implements a universal monitoring system where a single UHF sensor can detect electromagnetic radiation from multiple battery cells simultaneously. The sensor system is designed to monitor entire battery racks or modules, providing multi-functional capability to detect various types of battery defects (internal short circuits, cell failures) across multiple batteries without requiring individual sensors for each cell, thus improving reliability while controlling complexity
3Loss of time
If early detection of battery defects is implemented to prevent fire, then the loss of time for fire prevention is reduced, but the cost and complexity of the detection system increases
Solution Approach 1:
The patent implements preliminary detection by continuously monitoring electromagnetic radiation from batteries before thermal runaway or fire occurs. The UHF sensor system detects early signs of battery failure (internal short circuits, cell defects) through electromagnetic signals, enabling preventive action to be taken before the battery reaches dangerous temperature levels, thus reducing the time available for fire prevention while avoiding the need for complex post-failure response systems
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables early detection of battery abnormalities and prevents fire accidents by accurately identifying defects through UHF sensor analysis, reducing the risk of fire and maintaining system stability.
Implementation Method 1
an ultra-high frequency (UHF) sensor for measuring radiated electromagnetic wave installed inside or outside a battery system
Data Source
AI summary
A battery fire prevention and diagnosis system in accordance with the present invention comprises: an ultra-high frequency (UHF) sensor for measuring radiated electromagnetic wave installed inside or outside a battery system; a data acquiring unit for receiving the radiated electromagnetic wave signals measured from the UHF sensor; noise/defect cause database including on-site noise data related to a site in operation, and data on causes of defects; and a diagnosis unit for determining abnormality of the battery system, and a cause of a defect based on the radiated electromagnetic wave signal data acquired from the data acquiring unit, and the on-site noise data and the data on causes of defects in the noise/defect cause database.