Component design procedure for LCC-S wireless power transfer systems based on genetic algorithms and sensitivity analysis

被引:3
作者
Corti, Fabio [1 ]
Intravaia, Matteo [1 ]
Reatti, Alberto [1 ]
Grasso, Francesco [1 ]
Grasso, Emanuele [2 ]
Cabrera, Alicia Trivino [3 ]
机构
[1] Univ Florence, DINFO, Florence, Italy
[2] Univ Saarland, Lehrstuhl Antriebstech, Saarbrucken, Saarland, Germany
[3] Univ Malaga, Dept Elect Engn, Malaga, Spain
关键词
DC-DC power convertors; power convertors; CONVERTERS;
D O I
10.1049/pel2.12648
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper introduces a novel approach for designing a Wireless Power Transfer (WPT) system with LCC-S compensation. Since WPT systems operate under resonant conditions, even small deviations of the components from the nominal values can result in a significant reduction of the power transferred to the load, and in an increment of the circulating currents, reducing the system efficiency. The design techniques available today in the literature provide a unique combination of passive components capable of transferring a certain power to the load. This is a limitation, because, in practice, there are several combinations that allow reaching the desired output power, but they are usually neglected because they are extremely difficult to compute analytically. For this reason, in this paper, the authors present an innovative design procedure that enables, through a Genetic Algorithm, the identification of multiple feasible combinations of the LCC-S components capable of achieving the desired output power. Moreover, the authors evaluate the effects of the component tolerances on the output power to determine which combinations are more robust to component variations. This task is performed by calculating the probability that a particular combination yields the desired output power, once the tolerances have been considered, following a Monte Carlo approach. This information is utilized to decide whether it is possible to reduce the component quality (worsening the tolerance) without affecting the performance. Finally, an optimal solution granting both low-cost and robustness against component tolerances can be individuated. The proposed design procedure is applied to a case study and validated experimentally. This paper introduces an innovative design procedure using genetic algorithms to identify various feasible combinations of components for an LCC-S wireless power transfer system (WPT). The procedure addresses the challenge of achieving desired performance in WPT systems due to small deviations in component values, which can result in reduced power transfer and decreased converter efficiency. The proposed method evaluates component tolerances and identifies optimal combinations from the generated set, considering the probability of achieving the desired output power. The effectiveness of the design procedure is demonstrated through a case study and experimental evaluation. image
引用
收藏
页码:906 / 918
页数:13
相关论文
共 38 条
[1]  
[Anonymous], 1949, T AM I ELECT ENG, V68, P1200, DOI [10.1109/T-AIEE.1949.5060074, DOI 10.1109/T-AIEE.1949.5060074]
[2]  
[Anonymous], IEC 600632015 PREFER
[3]  
Bo Q, 2020, 2020 IEEE PELS WORKSHOP ON EMERGING TECHNOLOGIES: WIRELESS POWER TRANSFER (WOW), P233, DOI [10.1109/WoW47795.2020.9291274, 10.1109/wow47795.2020.9291274]
[4]  
Buu O., 2015, ARXIV
[5]   Uncertainty Quantification for SAE J2954 Compliant Static Wireless Charge Components [J].
Cirimele, Vincenzo ;
Torchio, Riccardo ;
Villa, Juan Luis ;
Freschi, Fabio ;
Alotto, Piergiorgio ;
Codecasa, Lorenzo ;
Di Rienzo, Luca .
IEEE ACCESS, 2020, 8 (08) :171489-171501
[6]   Probabilistic evaluation of power converters as support in their design [J].
Corti, Fabio ;
Reatti, Alberto ;
Patrizi, Gabriele ;
Ciani, Lorenzo ;
Catelani, Marcantonio ;
Kazimierczuk, Marian K. .
IET POWER ELECTRONICS, 2020, 13 (19) :4542-4550
[7]   A Secondary-Side Controlled Electric Vehicle Wireless Charger [J].
Corti, Fabio ;
Reatti, Alberto ;
Nepote, Andrea ;
Pugi, Luca ;
Pierini, Marco ;
Paolucci, Libero ;
Grasso, Francesco ;
Grasso, Emanuele ;
Nienhause, Matthias .
ENERGIES, 2020, 13 (24)
[8]   Model of an Air Transformer for Analyses of Wireless Power Transfer Systems [J].
Detka, Kalina ;
Gorecki, Krzysztof ;
Ptak, Przemyslaw .
ENERGIES, 2023, 16 (03)
[9]  
El Beqal A., 2020, Int. J. Electr. Comput. Eng, V10, P129, DOI [10.11591/ijece.v10i1.pp129-138, DOI 10.11591/IJECE.V10I1.PP129-138]
[10]  
Galigekere VP, 2018, IEEE TRANSP ELECT C, P885, DOI 10.1109/ITEC.2018.8450163