Energy storage device diagnostic system and method thereof
The system calculates entropy change using temperature and frequency signals to diagnose energy storage devices, addressing miniaturization and efficiency issues, enabling rapid and accurate detection of abnormalities.
KR102999098B1Active Publication Date: 2026-08-03KOREA ADVANCED INST OF SCI & TECH
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Patent Information
- Application Number
- KR1020250040277
- Authority / Receiving Office
- KR · KR
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2024-06-21
- Filing Date
- 2025-03-28
- Publication Date
- 2026-08-03
- Estimated Expiration
- 2045-03-28
AI Technical Summary
Technical Problem
Existing methods for diagnosing energy storage devices, such as batteries, are inefficient and difficult to miniaturize due to the need for large volume devices and long analysis times, posing safety risks and efficiency issues.
Method used
A system and method for calculating entropy change in energy storage devices using temperature measurements and input/output signals at different frequencies, combined with an artificial intelligence model to determine SOH, SOS, SOC, and RUL, without requiring separate large volume devices.
Benefits of technology
Enables accurate, miniaturized, and rapid diagnosis of energy storage devices, enhancing safety and efficiency by detecting abnormalities early.
✦ Generated by Eureka AI based on patent content.
Abstract
An energy storage device diagnostic system according to one embodiment of the present invention includes an input signal providing device, an energy storage device, a temperature sensor, and a computing device. The input signal providing device provides a first input signal and a second input signal. The first input signal has a first frequency, and the second input signal has a second frequency different from the first frequency. The energy storage device stores energy through an electrochemical reaction. The energy storage device receives the first input signal and outputs a first output signal. The energy storage device receives the second input signal and outputs a second output signal. A temperature sensor is attached to the energy storage device. The temperature sensor measures a first temperature and a second temperature. The first temperature is the temperature of the energy storage device corresponding to the first input signal. The second temperature is the temperature of the energy storage device corresponding to the second input signal. The computing device calculates the entropy change of the energy storage device using the first output signal, the second output signal, the first temperature, and the second temperature.
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