LAPSE:2023.19734
Published Article
LAPSE:2023.19734
Parameter Optimization of Double LCC MCRWPT System Based on ZVS
Guowen Feng, Zhizhen Liu, Yanjin Hou, Xueqing Luo, Shuyao Sun, Ran Ding, Aiguo Yu
March 9, 2023
Abstract
At present, magnetically coupled resonance wireless power transfer (MCRWPT) is the main technology used in electric vehicle wireless power transfer (WPT) due to its advantages of high transmission power and high efficiency. The resonant compensation circuit of the system generally adopts the double LCC (DLCC) structure, which has many capacitor and inductor components. Therefore, it is necessary to optimize the circuit parameters to improve the transmission performance of the system. In this study, the DLCC compensation circuit was modeled and analyzed to lay the foundation for parameter optimization. Secondly, the size parameters of the energy transmitting and receiving coil were determined, and the influence of the change of the primary and secondary compensation inductance on the circuit element stress and output performance was analyzed to determine the optimal compensation inductance value. Thirdly, the realization condition of zero voltage switching (ZVS) was analyzed, the relationship between the input impedance angle of the compensation circuit and the component parameter value was obtained, and a parameter optimization control strategy for realizing ZVS was proposed. Finally, through simulation and experiment, it was concluded that under different power levels, the efficiency of the parameter optimization strategy proposed in this study is as high as 91.86%, increasing by about 1%. Therefore, the research undertaken in this study can promote the development of WPT technology and has certain practical significance.
Keywords
efficiency improvement, MCRWPT, parameter optimization, ZVS
Suggested Citation
Feng G, Liu Z, Hou Y, Luo X, Sun S, Ding R, Yu A. Parameter Optimization of Double LCC MCRWPT System Based on ZVS. (2023). LAPSE:2023.19734
Author Affiliations
Feng G: School of Electrical Engineering, Shandong University, Jinan 250061, China [ORCID]
Liu Z: School of Electrical Engineering, Shandong University, Jinan 250061, China
Hou Y: School of Electrical Engineering, Shandong University, Jinan 250061, China; Shandong Provincial Key Laboratory of Biomass Gasification Technology, Energy Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Luo X: School of Electrical Engineering, Shandong University, Jinan 250061, China
Sun S: School of Electrical Engineering, Shandong University, Jinan 250061, China
Ding R: School of Electrical Engineering, Shandong University, Jinan 250061, China
Yu A: Qingdao Haidian Electric Co., Ltd., Qingdao 266109, China
Journal Name
Energies
Volume
14
Issue
17
First Page
5309
Year
2021
Publication Date
2021-08-26
ISSN
1996-1073
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PII: en14175309, Publication Type: Journal Article
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https://doi.org/10.3390/en14175309
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