Research on Thermal Runaway Multiphysics Coupling Simulation and Sensor Optimization Layout of Lithium Iron Phosphate Energy Storage Battery Packs.
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| Title: | Research on Thermal Runaway Multiphysics Coupling Simulation and Sensor Optimization Layout of Lithium Iron Phosphate Energy Storage Battery Packs. |
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| Authors: | Guo, Dongliang1 (AUTHOR), Sun, Lei1 (AUTHOR), Sun, Rong1 (AUTHOR), Jia, Jun1 (AUTHOR), Xiao, Peng1 (AUTHOR), Ruan, Hailong2 (AUTHOR), Jiang, Xin2 (AUTHOR) jiangxin@zzu.edu.cn |
| Source: | Energy Science & Engineering. Apr2026, Vol. 14 Issue 4, p1765-1780. 16p. |
| Subject Terms: | *Sensor placement, *Gas migration, *Acoustic signal processing, *Battery storage plants, *Computer simulation, *Energy storage, *Deformations (Mechanics), *Thermal stability |
| Abstract: | To address the safety risks caused by thermal runaway in lithium iron phosphate (LiFePO₄) energy storage batteries, and to improve the timeliness and accuracy of fault monitoring while ensuring the safe operation of energy storage systems, this study focuses on a 314 Ah liquid‐cooled battery module. It conducts a coupled gas‐mechanics‐acoustics multi‐physics simulation and experimental validation of the thermal runaway process. Mechanical response, acoustic propagation, and gas diffusion models were built using ABAQUS, COMSOL, and Ansys Fluent, respectively. Combined with experimentally measured stress peaks (1308 kg), acoustic signal characteristics, and hydrogen diffusion data, model inputs and validation were completed. The NSGA‐III multi‐objective optimization algorithm was applied to determine the optimal sensor configuration. The results show that: the thermal runaway stress is transmitted to the seventh cell in the module within 0.001 s, so the stress sensor should be placed on the large surface of this cell; the transient acoustic signal peak pressure during safety valve activation exceeds 17 Pa (sound pressure level > 118.6 dB), achieving millisecond‐level full coverage, and a single broadband acoustic sensor placed at the top center of the module is sufficient for monitoring; thermal runaway gas response is optimal in the top center area (Position 5), with the edge fault scenario detected first at 1.1 s and reaching the warning threshold (0.01 kmol/m³) at 1.6 s, while in the center fault scenario, the warning threshold is reached at 0.1 s. Gas sensors should therefore be preferentially arranged at the top center of the module. The sensor optimization layout strategy proposed in this paper provides theoretical and technical support for the safe operation of energy storage batteries and helps improve the effectiveness of fault monitoring in energy storage systems. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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