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Publishing Language: Chinese | Open Access

A DINO remote sensing target detection algorithm combining efficient hybrid encoder and structural reparameterization

Yazhou GUO1,2,3, Xiaochuan LIU1,2,3( ), Chunyu BAI1,2,3, Jizhen WANG1,2,3
National Key Laboratory of Strength and Structural Integrity, Xi’an 710065, Shaanxi, China
Aviation Key Laboratory of Science and Technology on Structures Impact Dynamics, Aircraft Strength Research Institute of China, Xi’an 710065, Shaanxi, China
Shaanxi Province Key Laboratory of Aircraft Vibration, Impact and Noise, Xi’an 710065, Shaanxi, China
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Abstract

This paper takes the soft-package lithium-ion batteries as the research objects to study the dynamic response modes and explosion ignition characteristics of lithium-ion batteries used in light-weight and small consumer unmanned aerial vehicles (UAVs) under high-energy impact and evaluate the safety performances of lithium batteries under dynamic impact. The drop hammer and gas gun were used to carry out the drop-hammer impact of the soft-package battery pack and the high-speed impact of the battery on the aluminum plate. The deformation modes and ignition characteristics of the soft-package lithium-ion batteries under different battery powers after impact were studied. Based on the mechanical deformation response and ignition characteristics of the batteries, the impact safety of small soft-package lithium-ion batteries was analyzed. The results show that the ignition risk of small soft-package lithium-ion batteries under conventional battery shell protection after being impacted by loads in the out-of-plane direction is much higher than that impacted in the in-plane direction. The ignition risk of lithium-ion batteries is related to battery power and impact velocity. The thickness of the impacted aluminum plate has little effect on the ignition risk of lithium-ion batteries. The lithium-ion battery samples used in this study all have a relatively low risk of combustion after impacting the aluminum plate at the velocity of 50 m/s with the state of charge of 100%, and at the velocity of 85 m/s with the states of charge of less than 50%, respectively.

CLC number: O347 Document code: A

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Cite this article:
GUO Y, LIU X, BAI C, et al. A DINO remote sensing target detection algorithm combining efficient hybrid encoder and structural reparameterization. Explosion and Shock Waves, 2025, 45(2). https://doi.org/10.11883/bzycj-2024-0320

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Received: 31 August 2024
Revised: 03 December 2024
Published: 05 February 2025
© 2025 Editorial Office of Explosion and Shock Waves

This is an open access article under the CC BY-NC license (https://creativecommons.org/licenses/by-nc/4.0/)