ZHAO Xiangru, ZHONG Bo, XU Jingwan, et al. Vibration testing and numerical simulation of energy storage battery cabinets[J]. Energy Storage Science and Technology, 2026, 15(2): 594-603.
ZHAO Xiangru, ZHONG Bo, XU Jingwan, et al. Vibration testing and numerical simulation of energy storage battery cabinets[J]. Energy Storage Science and Technology, 2026, 15(2): 594-603.DOI: 10.19799/j.cnki.2095-4239.2025.0964.
Vibration testing and numerical simulation of energy storage battery cabinets
ensuring the safety of energy storage systems during transportation has become a critical aspect of structural safety evaluations. This study investigates the dynamic characteristics and mechanical response of a specific energy storage battery cabinet under random vibration. Sinusoidal sweep vibration tests determined the first-order frequencies and damping ratios: 7.485 Hz with a damping ratio of 0.051 in the
X
-direction
and 8.431 Hz with a damping ratio of 0.070 in the
Y
-direction. Vertical (
Z
-direction) random vibration tests
condu
cted using the ISTA(International Safe Transit Association) 3E road spectrum
showed that the battery cabinet remained largely intact. A refined finite element analysis (FEA) model was developed to simulate the cabinet
with modal
sinusoidal sweep
and random vibration analyses performed. The modal analysis simulation results deviated by less than 5% from experimental measurements
validating the model's accuracy. Comparisons of acceleration responses from the sinusoidal sweep simulations
exemplified by sensor #9
showed strong agreement with experimental data. Moreover
stress distribution maps from the random vibration simulations corresponded well with wear-prone areas observed experimentally
further confirming the FEA model's reliability. This research provides valuable guidance for evaluating the vibration performance and optimizing the structural design of battery cabinets
offering a robust technical foundation for future energy storage products.
CHEN H S, LIU C, XU Y J, YUE F, et al. The strategic position and role of energy storage under the goal of carbon peak and carbon neutrality[J]. Energy Storage Science and Technology, 2021, 10(5): 1477-1485. DOI:10.19799/j.cnki.2095-4239.2021.0389.
PEI Z Y, FAN G F, QIN X H. Demand analysis of large scale energy storage in China's power system[J]. Energy Storage Science and Technology, 2020, 9(5): 1562-1565. DOI:10.19799/j.cnki.2095-4239.2020.0252.
BAI C E, WANG X F, HUANG W Q, et al. Safety analysis and optimization of energy storage battery pack under transportation condition based on OptiStruct[J]. Mechanical & Electrical Engineering Technology, 2023, 52(10): 207-210. DOI:10.3969/j.issn.1009-9492.2023.10.041.
BIAN Y F, CHU C M. Simulation and verification of battery pack structure of electric vehicle based on OptiStruct[J]. Agricultural Equipment & Vehicle Engineering, 2020, 58(5): 131-134. DOI:10.3969/j.issn.1673-3142.2020.05.029.
HUANG P X, LAN F C, CHEN J Q. The structural response analysis of EV battery pack under random vibration and impact conditions[J]. Automotive Engineering, 2017, 39(9): 1087-1093, 1099. DOI:10.19562/j.chinasae.qcgc.2017.09.017.
LAN F C, LIU J, CHEN J Q, et al. Deformation and response analysis of pack and internal structure of electrical vehicle battery in collision[J]. Journal of South China University of Technology (Natural Science Edition), 2017, 45(2): 1-8. DOI:10.3969/j.issn. 1000-565X.2017.02.001.
刘家员. 某新能源车电池包有限元分析与优化[D]. 锦州: 辽宁工业大学, 2018.LIU J Y. Finite element analysis and optimization of a new energy car battery pack[D]. Jinzhou: Liaoning University of Technology, 2018.