Author
Listed:
- 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
Shandong Provincial Key Laboratory of Biomass Gasification Technology, Energy Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, 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)
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.
Suggested Citation
Guowen Feng & Zhizhen Liu & Yanjin Hou & Xueqing Luo & Shuyao Sun & Ran Ding & Aiguo Yu, 2021.
"Parameter Optimization of Double LCC MCRWPT System Based on ZVS,"
Energies, MDPI, vol. 14(17), pages 1-18, August.
Handle:
RePEc:gam:jeners:v:14:y:2021:i:17:p:5309-:d:622903
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5309-:d:622903. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.