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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004417 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849235895589273600 |
|---|---|
| author | Yuan Wang Yuantian Guo Shuyan Guo Guoming Ma Hao Zhao |
| author_facet | Yuan Wang Yuantian Guo Shuyan Guo Guoming Ma Hao Zhao |
| author_sort | Yuan Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-eab1d6f1a2b649f7828618a916d149ec |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-eab1d6f1a2b649f7828618a916d149ec2025-08-20T04:02:32ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-09-0117011089310.1016/j.ijepes.2025.110893Operando monitoring and prediction of temperature in commercial sodium-ion batteries via optical fiber sensorsYuan Wang0Yuantian Guo1Shuyan Guo2Guoming Ma3Hao Zhao4College of Engineering, Peking University, Beijing 100871, PR ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, PR ChinaCollege of Engineering, Peking University, Beijing 100871, PR ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, PR ChinaCollege of Engineering, Peking University, Beijing 100871, PR China; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S0142061525004417Sodium-ion batteryLayered oxides cathodeOperando monitoringfiber Bragg gratingBattery temperature |
| spellingShingle | Yuan Wang Yuantian Guo Shuyan Guo Guoming Ma Hao Zhao Operando monitoring and prediction of temperature in commercial sodium-ion batteries via optical fiber sensors International Journal of Electrical Power & Energy Systems Sodium-ion battery Layered oxides cathode Operando monitoring fiber Bragg grating Battery temperature |
| title | Operando monitoring and prediction of temperature in commercial sodium-ion batteries via optical fiber sensors |
| title_full | Operando monitoring and prediction of temperature in commercial sodium-ion batteries via optical fiber sensors |
| title_fullStr | Operando monitoring and prediction of temperature in commercial sodium-ion batteries via optical fiber sensors |
| title_full_unstemmed | Operando monitoring and prediction of temperature in commercial sodium-ion batteries via optical fiber sensors |
| title_short | Operando monitoring and prediction of temperature in commercial sodium-ion batteries via optical fiber sensors |
| title_sort | operando monitoring and prediction of temperature in commercial sodium ion batteries via optical fiber sensors |
| topic | Sodium-ion battery Layered oxides cathode Operando monitoring fiber Bragg grating Battery temperature |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525004417 |
| work_keys_str_mv | AT yuanwang operandomonitoringandpredictionoftemperatureincommercialsodiumionbatteriesviaopticalfibersensors AT yuantianguo operandomonitoringandpredictionoftemperatureincommercialsodiumionbatteriesviaopticalfibersensors AT shuyanguo operandomonitoringandpredictionoftemperatureincommercialsodiumionbatteriesviaopticalfibersensors AT guomingma operandomonitoringandpredictionoftemperatureincommercialsodiumionbatteriesviaopticalfibersensors AT haozhao operandomonitoringandpredictionoftemperatureincommercialsodiumionbatteriesviaopticalfibersensors |