LAPSE:2023.8337
Published Article
LAPSE:2023.8337
Development of a Resonant Auxiliary Power Supply Control Algorithm and Resonant Destruction Detecting for Railway Vehicles
An-Yeol Ko, Seong-Yun Kang, Il-Kuen Won, Junsin Yi, Chung-Yuen Won
February 24, 2023
Abstract
In this paper, the method and a control algorithm for detecting resonant destruction of a resonant auxiliary power supply for railway vehicle are proposed. It is essential to reduce the weight of the electric equipment attached to the lower part of the railway vehicle because it greatly affects the life of the railway vehicle, such as wheel and bearing. In order to reduce the weight and volume of the auxiliary power supply, in the case of windings, high-speed switching should be performed by lowering the input voltage. Therefore, in this paper, the auxiliary power supply control algorithm using an LLC resonant converter to reduce the weight of auxiliary power supply for railway vehicle is proposed, and the method of detecting resonant destruction due to device failure of a resonant converter is proposed. The proposed algorithm steps down the wire voltage using an input buck converter for high-speed switching, and the inverter input voltage is controlled through the LLC resonant converter. In addition, ZVS (Zero Voltage Switching) is operated to minimize the loss of the resonant converter, and the optimal design of the resonant tank is also proposed. In order to detect resonant destruction, a detection method formulated by analyzing the resonant current peak value for the load capacity is proposed. The algorithm proposed in this paper is verified by simulation and experiment.
Keywords
auxiliary power supply, LLC resonant converter, railway vehicle, resonant destruction detecting
Suggested Citation
Ko AY, Kang SY, Won IK, Yi J, Won CY. Development of a Resonant Auxiliary Power Supply Control Algorithm and Resonant Destruction Detecting for Railway Vehicles. (2023). LAPSE:2023.8337
Author Affiliations
Ko AY: Department of Electrical and Computer Engineering, Sungkyunkwna University, Suwon 16419, Korea
Kang SY: Dawonsys, Ansan 15655, Korea
Won IK: LG Electronics Gasan R&D Campus, Seoul 08592, Korea
Yi J: Department of Electrical and Computer Engineering, Sungkyunkwna University, Suwon 16419, Korea
Won CY: Department of Electrical and Computer Engineering, Sungkyunkwna University, Suwon 16419, Korea
Journal Name
Energies
Volume
15
Issue
21
First Page
8029
Year
2022
Publication Date
2022-10-28
ISSN
1996-1073
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Original Submission
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PII: en15218029, Publication Type: Journal Article
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https://doi.org/10.3390/en15218029
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