Early detection of failing aerospace batteries using gas sensors
Nowadays, Lithium-ion battery (LIB) has been widely used in industry due to its properties of high power density, long life cycle, relatively low price, and so on. However, the safety of lithium-ion battery (LIB) applications should be concerned, especially for aerospace applications using large siz...
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sg-ntu-dr.10356-1543982023-07-04T15:07:21Z Early detection of failing aerospace batteries using gas sensors Zhao, Chenhao Soong Boon Hee School of Electrical and Electronic Engineering Rolls-Royce@NTU Corporate Lab EBHSOONG@ntu.edu.sg Engineering::Electrical and electronic engineering Nowadays, Lithium-ion battery (LIB) has been widely used in industry due to its properties of high power density, long life cycle, relatively low price, and so on. However, the safety of lithium-ion battery (LIB) applications should be concerned, especially for aerospace applications using large size and high energy density batteries. Suppose the battery is defective inside or outside. In that case, it can generate a large amount of heat and produce toxic and flammable gases, leading to serious safety risks such as fire and explosion. Most of the harmful gases are produced during the thermal runaway (TR) process, so it is necessary to detect battery failures before TR. After analyzing battery failure cases and referring to some authoritative experimental results, it is found that gas detection has a faster response speed than traditional voltage or temperature detection for early fault detection. In this project, a hydrogen gas detector is designed based on microcontroller PIC16F877A and gas sensor MQ-8. Its gas concentration measurement function is achieved from two aspects: hardware design and software design. In the hardware part, the signal acquisition circuit, LCD circuit, USB interface circuit, and clock circuit were designed. While in the software part, the main program, data acquisition program, data processing program, LCD program were developed. The experiment found that this detector can detect the target gas concentration in ppm quickly and accurately. Master of Science (Power Engineering) 2021-12-23T12:45:21Z 2021-12-23T12:45:21Z 2021 Thesis-Master by Coursework Zhao, C. (2021). Early detection of failing aerospace batteries using gas sensors. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/154398 https://hdl.handle.net/10356/154398 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Zhao, Chenhao Early detection of failing aerospace batteries using gas sensors |
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Nowadays, Lithium-ion battery (LIB) has been widely used in industry due to its properties of high power density, long life cycle, relatively low price, and so on. However, the safety of lithium-ion battery (LIB) applications should be concerned, especially for aerospace applications using large size and high energy density batteries. Suppose the battery is defective inside or outside. In that case, it can generate a large amount of heat and produce toxic and flammable gases, leading to serious safety risks such as fire and explosion. Most of the harmful gases are produced during the thermal runaway (TR) process, so it is
necessary to detect battery failures before TR. After analyzing battery failure cases and referring to some authoritative experimental results, it is found that gas detection has a faster response speed than traditional voltage or temperature detection for early fault detection.
In this project, a hydrogen gas detector is designed based on microcontroller PIC16F877A and gas sensor MQ-8. Its gas concentration measurement function is achieved from two aspects: hardware design and software design. In the hardware part, the signal acquisition circuit, LCD circuit, USB interface circuit, and clock circuit were designed. While in the software part, the main program, data acquisition program, data processing program, LCD program were developed. The experiment found that this detector can detect the target gas concentration in ppm quickly and accurately. |
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Soong Boon Hee |
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Soong Boon Hee Zhao, Chenhao |
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Thesis-Master by Coursework |
author |
Zhao, Chenhao |
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Zhao, Chenhao |
title |
Early detection of failing aerospace batteries using gas sensors |
title_short |
Early detection of failing aerospace batteries using gas sensors |
title_full |
Early detection of failing aerospace batteries using gas sensors |
title_fullStr |
Early detection of failing aerospace batteries using gas sensors |
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Early detection of failing aerospace batteries using gas sensors |
title_sort |
early detection of failing aerospace batteries using gas sensors |
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Nanyang Technological University |
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2021 |
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https://hdl.handle.net/10356/154398 |
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1772827440558637056 |