scholarly journals Electromagnetic Shielding Design for 200 kW Stationary Wireless Charging of Light-Duty EV

Author(s):  
Bo Zhang ◽  
Richard B. Carlson ◽  
Veda P. Galigekere ◽  
Omer C. Onar ◽  
Jason L. Pries
Author(s):  
Bo Zhang ◽  
Richard B. Carlson ◽  
Shawn D. Salisbury ◽  
Charles C. Dickerson ◽  
Timothy D. Pennington ◽  
...  

2021 ◽  
Vol 1885 (5) ◽  
pp. 052020
Author(s):  
Weiliang Zhang ◽  
Junlin Wan ◽  
Qi Zhang ◽  
Dinghan Gao

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6661
Author(s):  
Michal Frivaldsky ◽  
Miroslav Pavelek

This paper deals with in loop design of coupling elements of the wireless charging systems (WChS). The in-loop design is created as a script/User Interface (UI) in MATLAB environment, which is based on finite element models of WChS. Main aim of developed tool is to easily identify the optimal geometrical parameters of the coupling coils. The optimization of the coil’s geometrical and electrical parameters is specified by an algorithm, which is based on definition for transfer of required amount of power and on geometrical restrictions of the target application. The second part of the proposed script/UI is used for user guided design of the electromagnetic shielding. It enables to optimize the shielding parameters in order to reach the limits defined by international standards for safety levels with respect to human exposure. Proposed design methodology together with user interface have been verified though experimental validation. For this purpose, construction of WChS was realized based on the results from in loop design process. Comparisons have been made according to the evaluation of simulation model´s accuracy, that is, the values of self-inductances, mutual inductances, coupling coefficient and gain characteristics have been evaluated (simulations vs. experiments). At the end of the paper the evaluation of the shielding performance was realized, while once more the comparison between simulation and experiments have been made. Received results are showing less than 2% of the relative error. Using presented methodology, the fast optimization actions can be done during design and modelling of WChS.


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