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DOI 10.3390/ma19112419

Медицинская библиотека · Materials (Basel, Switzerland) · 2026

Design of MEMS Gas Sensors and Integration for Multiple Gas Classification for Lithium-Ion Battery Thermal Runaway Warning.

Liu Haiping, Zhang Sen, Xue Shan, Liu Delong, Sun Zeyu, Li Lianshi, Zhang Qi, Jiao Mingzhi

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Аннотация

Characteristic gas-based detection technology can facilitate the warning of lithium-ion battery thermal runaway with a high accuracy at an early stage. Microelectromechanical system (MEMS) metal-oxide-semiconductor (MOS) gas sensors have advantages of a low cost, a high accuracy, and low power consumption; therefore, they are ideal candidates for the lithium-ion battery thermal-runaway warning. MEMS MOS gas sensors are composed of a micro-hotplate and gas-sensitive materials. The micro-hotplate component strongly influences the device's mechanical and thermal properties. Initially, we used COMSOL to optimize the micro-hotplate component. Then, we fabricated the device based on the optimal micro-hotplate. Next, gas-sensitive materials made of ZnO and ZnO-Au were deposited on the micro-hotplate by radio-frequency magnetic sputtering. The self-made and commercial MEMS MOS sensors were integrated to form an electronic nose. The as-made electronic nose can classify hydrogen, ethylene, acetylene, methane, carbon monoxide, and ethanol with a maximum accuracy of 99.4% using gas response data acquired over only 20 s. The reported work can provide a solution for an early and accurate lithium-ion battery thermal runaway warning.

Для цитирования: Liu Haiping, Zhang Sen, Xue Shan, Liu Delong, Sun Zeyu, Li Lianshi, Zhang Qi, Jiao Mingzhi. Design of MEMS Gas Sensors and Integration for Multiple Gas Classification for Lithium-Ion Battery Thermal Runaway Warning.. Materials (Basel, Switzerland). 2026. DOI: 10.3390/ma19112419.
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