Parameter Optimization of Double LCC MCRWPT System Based on ZVS

Guowen Feng, Zhizhen Liu, Yanjin Hou, Xueqing Luo, Shuyao Sun, Ran Ding and Aiguo Yu
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Guowen Feng: School of Electrical Engineering, Shandong University, Jinan 250061, China
Zhizhen Liu: School of Electrical Engineering, Shandong University, Jinan 250061, China
Yanjin Hou: School of Electrical Engineering, Shandong University, Jinan 250061, China
Xueqing Luo: School of Electrical Engineering, Shandong University, Jinan 250061, China
Shuyao Sun: School of Electrical Engineering, Shandong University, Jinan 250061, China
Ran Ding: School of Electrical Engineering, Shandong University, Jinan 250061, China
Aiguo Yu: Qingdao Haidian Electric Co., Ltd., Qingdao 266109, China

Energies, 2021, vol. 14, issue 17, 1-18

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: MCRWPT; parameter optimization; ZVS; efficiency improvement (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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