Analysis of Capacitance Characteristics of Light-Controlled Electrostatic Conversion Device

LIU Yujie; WANG Yang; JIN Xiangliang; PENG Yan; LUO Jun; YANG Jun

doi:10.23919/cje.2021.00.272

Volume 32 Issue 2

Mar. 2023

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Article Navigation > Chinese Journal of Electronics > 2023 > 32(2): 389-396

LIU Yujie, WANG Yang, JIN Xiangliang, et al., “Analysis of Capacitance Characteristics of Light-Controlled Electrostatic Conversion Device,” Chinese Journal of Electronics, vol. 32, no. 2, pp. 389-396, 2023, doi: 10.23919/cje.2021.00.272

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LIU Yujie, WANG Yang, JIN Xiangliang, et al., “Analysis of Capacitance Characteristics of Light-Controlled Electrostatic Conversion Device,” Chinese Journal of Electronics, vol. 32, no. 2, pp. 389-396, 2023, doi: 10.23919/cje.2021.00.272

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Analysis of Capacitance Characteristics of Light-Controlled Electrostatic Conversion Device

doi: 10.23919/cje.2021.00.272

1.
School of Physics and Electronics, Hunan Normal University, Changsha 410081, China
2.
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
3.
University of Electronic Science and Technology, Shenzhen 518000, China

Funds: This work was supported by the National Natural Science Foundation of China (61827812), Hunan Science and Technology Department Huxiang High-level Talent Gathering Project (2019RS1037), and Innovation Project of Science and Technology Department of Hunan Province (2020GK2018, 2019GK4016, 2020RC1003).

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Author Bio:
Yujie LIU received the B.E. degree in School of Information Engineering from Shaoyang University. He is now an M.S. candidate in the School of Physics and Electronic Science of Hunan Normal University. His research interest is new semiconductor power device design. (Email: 727805321@qq.com)

Yang WANG received the Ph.D. degree in the School of Physics and Electronic Science, Hunan Normal University, Changsha, China. His research interests include high-voltage on-chip electrostatic discharge protection design

Xiangliang JIN (corresponding author) received the M.S. degree in microtechnology with emphasis in electric circuits from Hunan University, Changsha, China, in 2000, and the Ph.D. degree in microelectronics and solid-state circuits with emphasis in CMOS image sensor design from the Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China, in 2004. After graduation. He sets up Superpix Micro Technology Ltd. as one co-founder. From 2010 to 2017. He is a Full Professor in Xiangtan University. Now, he is a Full Professor in Hunan Normal University. (Email: jinxl@hunnu.edu.cn)

Yan PENG received the Ph.D. degree in pattern recognition and intelligent systems from the Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, in 2009. She is currently a Professor with Shanghai University, Shanghai, China, where she is also the Dean of the Research Institute of USV Engineering. She led the team to develop eight series of unmanned surface vessel, which were delivered to the State Oceanic Administration, Ministry of Transport, and other departments, and carried out missions in the East China Sea, Yellow Sea, and Antarctic. Her current research interests include ocean detection sensor modeling and control of unmanned surface vehicles, field robotics, and locomotion systems

Jun LUO is currently a Professor with the Shanghai University, Shanghai, China, where he is also the Discipline Leader of mechanical engineering of Shanghai Plateau Disciplines, the holder of the National Science Fund for Distinguished Young Scholars, one of the Leading Talents of Shanghai, the Shanghai Subject Chief Scientist, the Shuguang Scholar, the holder of Shanghai Rising-Star Program (Follow-up), and the Vice Dean of the School of Mechatronic Engineering and Automation. He mainly works on the structure, sensing, and control technique of advanced robots

Jun YANG received the B.S. and M.S. degrees from the Beijing Institute of Technology, Beijing, China, in 1998 and 2001, respectively, and the Ph.D. degree from University of Alberta, Edmonton, AB, Canada, in 2004. He is currently a Full-time Professor at the Institute for Advanced Study of the University of Electronic Science and Technology of China (Shenzhen), and the Center Director of Canada’s First Industry 4.0 R&D Center (WIN 4.0-Western’s Industry 4.0 Network). He has published more than 150 journal articles. His research interests include additive manufacturing/3-D printing, micro/nanofabrication, AI-based and Internet-based intelligent manufacturing, BioMEMS/RF-MEMS, metamaterials, printed electronics, sensors, flexible/wearable electronics, and THz technology
Received Date: 2021-08-02
Accepted Date: 2022-07-14

Available Online: 2022-08-04

Publish Date: 2023-03-05

Abstract

Abstract

In recent years, converting environmental energy into electrical energy to meet the needs of modern society for clean and sustainable energy has become a research hotspot. Electrostatic energy is a pollution-free environmental energy source. The use of electrostatic conversion devices to convert electrostatic energy into electrical energy has been proven to be a feasible solution to meet sustainable development. This paper proposes a light-controlled electrostatic conversion device (LCECD). When static electricity comes, an avalanche breakdown occurs inside the LCECD and a low resistance path is generated to clamp the voltage, thereby outputting a smooth square wave of voltage and current. Experiments have proved that LCECD can convert 30kV electrostatic pulses into usable electrical energy for the normal operation of the back-end light-emitting diode lights. In addition, the LCECD will change the parasitic capacitance after being exposed to light. For different wavelengths of light, the parasitic capacitance exhibited by the device will also be different. The smaller the parasitic capacitance of the LCECD, the higher the efficiency of its electrostatic conversion. This is of great significance to the design of electrostatic conversion devices in the future.
- Environmental energy,
- Electrostatic energy,
- Electrostatic conversion,
- Parasitic capacitance

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References(15)

References

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