Battery fire prevention and diagnosis system

Patent metadata

Field	Value
Publication number	US-12449447-B2
Application number	US-202218010519-A
Country	US
Kind code	B2
Filing date	Jul 11, 2022
Priority date	Jul 19, 2021
Publication date	Oct 21, 2025
Grant date	Oct 21, 2025

Abstract

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.

First claim

What is claimed is:

1. A battery fire prevention and diagnosis system for a battery system including one or more modules, each of the one or more modules having one or more battery cells, comprising:
a frequency sensor configured to measure a radiated electromagnetic wave signal and an internal discharge of the one or more cells;
a data acquiring unit configured to receive the radiated electromagnetic wave signal measured from the frequency sensor;
a noise/defect cause database including:
on-site noise data constructed by measuring noise at a site currently in operation, and
defect cause data obtained by simulating battery cell swelling caused by overheating or overcharging due to internal defects of the battery system, wherein the defect cause data includes an internal discharge signal of the one or more battery cells occurring before a protective system operates following the swelling of the one or more battery cell; and

a diagnosis unit configured to:
remove the noise from the radiated electromagnetic wave signal after comparing the radiated electromagnetic wave signal with the on-site noise data;
extract at least one of a pulse size, a wave, and a frequency or any combination thereof from the noise removed radiated electromagnetic wave signal; and
determine an abnormality of the battery system and a cause of one or more of the internal defects thereof based on the radiated electromagnetic wave signal acquired from the data acquiring unit and the noise/defect cause database including the on-site noise data and the defect cause data,
wherein the battery system is equipped in an energy storage system (ESS).

2. The system of claim 1 , wherein the battery system comprises a battery rack including the one or more battery modules.

3. The system of claim 1 , wherein the frequency sensor is installed inside or outside the battery rack or in the one or more battery modules.

Assignees

• Hyosung Heavy Ind Corp

Inventors

• Jo Hyang Eun
• Seo Hwang Dong
• Jung Jae Ryong

Classifications

• G01R29/0807

  characterised by the application · CPC title

• G01R31/367

  Software therefor, e.g. for battery testing using modelling or look-up tables · CPC title

• G01R31/392 Primary

  Determining battery ageing or deterioration, e.g. state of health · CPC title

• G01R31/396

  Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery · CPC title

• G01R23/16

  Spectrum analysis; Fourier analysis · CPC title