Gas venting behavior and early detection performance in energy storage system battery modules under various thermal runaway scenarios
The present study aims to numerically examine the gas venting behavior and early detection performance in energy storage system (ESS) modules under various thermal runaway scenarios. Extensive CFD simulations for a pouch-type battery are conducted using the commercial code ANSYS FLUENT 2020 R2 to es...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25009360 |
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| _version_ | 1849319189406285824 |
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| author | Jong Eun Kim Hong Sun Ryou Young Man Lee Seong Hyuk Lee |
| author_facet | Jong Eun Kim Hong Sun Ryou Young Man Lee Seong Hyuk Lee |
| author_sort | Jong Eun Kim |
| collection | DOAJ |
| description | The present study aims to numerically examine the gas venting behavior and early detection performance in energy storage system (ESS) modules under various thermal runaway scenarios. Extensive CFD simulations for a pouch-type battery are conducted using the commercial code ANSYS FLUENT 2020 R2 to estimate the detection times in ESS battery modules with multiple cells for different venting positions and directions within the module. This study also investigates the influence of cooling fan intensity on gas propagation and detection time. The results show that detection time decreases when venting in the battery cells occurs closer to the outlet, and the left-side venting is detected faster than the right-side venting. Moreover, increasing the fan intensity by 30 % enables detection within 1.0 s, even in battery cells that are furthest from the gas detector. When venting occurs in the last cell, the detection time difference between the left-side and right-side venting increases as the cooling fan intensity increases. |
| format | Article |
| id | doaj-art-c743b47dce4d482cb6650e58be28acd1 |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-c743b47dce4d482cb6650e58be28acd12025-08-20T03:50:32ZengElsevierCase Studies in Thermal Engineering2214-157X2025-09-017310667610.1016/j.csite.2025.106676Gas venting behavior and early detection performance in energy storage system battery modules under various thermal runaway scenariosJong Eun Kim0Hong Sun Ryou1Young Man Lee2Seong Hyuk Lee3School of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of KoreaSchool of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of KoreaAlllitelife Co., Ltd., Dongyoung Venturestell 5, 72 Deokchen-ro 72 gil, Manan-gu, Anyang, Gyeonggi-do, Republic of KoreaSchool of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea; Corresponding author.The present study aims to numerically examine the gas venting behavior and early detection performance in energy storage system (ESS) modules under various thermal runaway scenarios. Extensive CFD simulations for a pouch-type battery are conducted using the commercial code ANSYS FLUENT 2020 R2 to estimate the detection times in ESS battery modules with multiple cells for different venting positions and directions within the module. This study also investigates the influence of cooling fan intensity on gas propagation and detection time. The results show that detection time decreases when venting in the battery cells occurs closer to the outlet, and the left-side venting is detected faster than the right-side venting. Moreover, increasing the fan intensity by 30 % enables detection within 1.0 s, even in battery cells that are furthest from the gas detector. When venting occurs in the last cell, the detection time difference between the left-side and right-side venting increases as the cooling fan intensity increases.http://www.sciencedirect.com/science/article/pii/S2214157X25009360Energy storage system (ESS) moduleComputational fluid dynamics (CFD)Thermal runawayGas ventingEarly gas detection |
| spellingShingle | Jong Eun Kim Hong Sun Ryou Young Man Lee Seong Hyuk Lee Gas venting behavior and early detection performance in energy storage system battery modules under various thermal runaway scenarios Case Studies in Thermal Engineering Energy storage system (ESS) module Computational fluid dynamics (CFD) Thermal runaway Gas venting Early gas detection |
| title | Gas venting behavior and early detection performance in energy storage system battery modules under various thermal runaway scenarios |
| title_full | Gas venting behavior and early detection performance in energy storage system battery modules under various thermal runaway scenarios |
| title_fullStr | Gas venting behavior and early detection performance in energy storage system battery modules under various thermal runaway scenarios |
| title_full_unstemmed | Gas venting behavior and early detection performance in energy storage system battery modules under various thermal runaway scenarios |
| title_short | Gas venting behavior and early detection performance in energy storage system battery modules under various thermal runaway scenarios |
| title_sort | gas venting behavior and early detection performance in energy storage system battery modules under various thermal runaway scenarios |
| topic | Energy storage system (ESS) module Computational fluid dynamics (CFD) Thermal runaway Gas venting Early gas detection |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25009360 |
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