Operando monitoring and prediction of temperature in commercial sodium-ion batteries via optical fiber sensors
Operando monitoring and modeling of complex thermal events inside batteries during operation is critical to understand its thermal runaway mechanism and establish early warning strategies. In this work, a compact sensing system is introduced to sodium-ion batteries based on fiber Bragg gratings. It...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004417 |
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| Summary: | Operando monitoring and modeling of complex thermal events inside batteries during operation is critical to understand its thermal runaway mechanism and establish early warning strategies. In this work, a compact sensing system is introduced to sodium-ion batteries based on fiber Bragg gratings. It is capable of monitoring the internal and surface temperatures during batteries operation by arranging optical fibers inside and on the surface of a commercial 18,650 battery, respectively. By applying 2 Hz square-wave current pulse on the battery, the heat transfer coefficients and the heat capacity are obtained. We observe a reproducible and stable correlation between the internal temperature and the surface temperature. Further analysis reveals a simplified thermal transfer model for predicting the internal temperature from the monitor of the surface temperature. The accuracy of the temperature estimation is within 0.5 ℃ and 2.9 ℃ when the charging/discharging conditions are varied from 1 C to 3 C. This operando monitoring and prediction approach of temperature in batteries provides in situ observation and early warning of thermal runaways of different batteries with high accuracy and low cost. |
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| ISSN: | 0142-0615 |