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Abstract

In order to meet the application requirements of high-power mobile inductively-coupled power transfer (ICPT) equipment, the structure of the dual transmitter and pickup can be used to improve the transmission power of the ICPT system. However, this structure cannot easily describe the change of the mutual inductance parameter in the moving state, making the mathematical model difficult to establish. The change of load parameters during the movement will affect the current and voltage at the transmitter and pickup coils. Aiming at these problems, this paper proposes a dual transmitter and pickup ICPT system based on inductor-capacitor-inductor (LCL) compensation network, and analyzes its power trans- mission efficiency. By setting the shape and size of the coil, the influence of the change of the mutual inductance parameters on the system efficiency during the movement is reduced. The changes of the mutual inductance parameters of the ICPT system under the moving state are simulated by changing the coupling coefficient in the PSpice software. The results show that the structure of the ICPT system used in this paper can improve the output power and reduce the influence of the system when the load changes.

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Authors and Affiliations

Xin Gao
Xin Li
ORCID: ORCID
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Abstract

In order to realize constant current and constant voltage charging for batteries by inductively coupled power transfer (ICPT) technology, a single-switch CL/LCL circuit is designed. The single-switch CL/LCL circuit is composed of a CL/LCL compensation network and single-switch inverter. The proposed circuit is compared with the traditional constant current and constant voltage circuit in the structure. The operating process of the single-switch CL/LCL circuit and the principle to realize a zero-voltage switch (ZVS) are analysed in detail in this paper. The voltage gain and current gain of the circuit are cal- culated, which demonstrates that the circuit is able to suppress higher harmonics strongly. By using Fourier decomposition, the voltage on the primary-side compensation capaci- tor can be obtained. After constructing the equivalent mutual inductance model of the circuit, the formulas and parameters are deduced and calculated. Finally, an experiment platform is built to verify the proposed circuit can realize constant current and constant voltage.

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Authors and Affiliations

Guangzong Zhang
Chunfang Wang
Jianfen Zheng
Houji Li
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Abstract

The traction power supply system based on Inductively Coupled Power Transfer (ICPT) technology is one of the new traction power supply technologies that will be developed in the future. As the core part of rail transit energy transfer and conversion, the traction power supply system is not only the critical system for the safe operation of rail transit, but also the main source of its failures, so it is of great significance to study its reliability. In this paper, the reliability analysis of the non-contact traction power supply system based on mobile ICPT technology is carried out using the method of (Fault Tree Analysis) FTA combined with triangular fuzzy theory and grey relational theory. Firstly, the fault tree of the system is established, and the minimum cut sets and structure function of the fault tree are obtained. Then the triangular fuzzy numbers are introduced to represent the probability of the bottom events, and the fuzzy probability of the top event and the fuzzy importance of the bottom events are determined, after that, the maximum probability of failure of the top event is obtained. Finally, the grey relational degrees of each minimum cut set are obtained and ranked. Furthermore, in order to prove the correctness of this method, the trapezoidal fuzzy FTA is introduced and compared with it. Both research results show that the loosely coupled transformer and Insulated Gate Bipolar Transistor (IGBT) module are the weak links of the system. The results obtained are consistent and realistic, which proves the correctness of the method selected in this article.
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Authors and Affiliations

Yanxia Pei
1
ORCID: ORCID
Xin Li
2
ORCID: ORCID

  1. Key Laboratory of Opto-Technology and Intelligent Control Ministry of Education, Lanzhou Jiaotong University, China
  2. School of New Energy and Power Engineering, Lanzhou Jiaotong University, China

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