Chenxu Zhao;Guochun Xiao;Lei Zhu;Zetu Gao;Min Wu;Laili Wang;Zhengchao Yan
{"title":"A Multicriteria Constrained Tuning Method With Critical ZVS Operation for 6.78 MHz WPTS","authors":"Chenxu Zhao;Guochun Xiao;Lei Zhu;Zetu Gao;Min Wu;Laili Wang;Zhengchao Yan","doi":"10.1109/TIE.2025.3552189","DOIUrl":null,"url":null,"abstract":"In general, the tuning of inductor–capacitor–capacitor-series (LCC-S) networks aims to obtain the load-independent output. However, the LCC-S networks require appropriate detuning to provide sufficient high-order harmonics for full-bridge inverters to achieve the critical zero-voltage switching (ZVS) operation at MHz scenario. Moreover, the effect of the parasitic resistance of the auxiliary inductor on the output characteristic and efficiency of LCC-S networks becomes more prominent as the switching frequency increases, introducing a new challenge to the parameter design. In this article, a multicriteria constrained tuning method with critical ZVS operation is proposed for LCC-S type full-bridge 6.78-MHz wireless power transfer systems (WPTS). Based on the time and frequency analysis, the proposed method obtains the ZVS regions over the whole load range. Furthermore, the system achieves the optimal efficiency under the target case with the critical ZVS operation. A 65-W full-bridge 6.78-MHz WPTS is built to verify the accuracy and coherence of the proposed tuning method. The system can achieve an efficiency of 88.51% and 88.29% with an output power of 77.14 W and 62.52 W, respectively. Compared with the control parameters, the power loss of the proposed parameter over the whole load range has been reduced by 15.7%.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 10","pages":"10007-10015"},"PeriodicalIF":7.2000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10957838/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In general, the tuning of inductor–capacitor–capacitor-series (LCC-S) networks aims to obtain the load-independent output. However, the LCC-S networks require appropriate detuning to provide sufficient high-order harmonics for full-bridge inverters to achieve the critical zero-voltage switching (ZVS) operation at MHz scenario. Moreover, the effect of the parasitic resistance of the auxiliary inductor on the output characteristic and efficiency of LCC-S networks becomes more prominent as the switching frequency increases, introducing a new challenge to the parameter design. In this article, a multicriteria constrained tuning method with critical ZVS operation is proposed for LCC-S type full-bridge 6.78-MHz wireless power transfer systems (WPTS). Based on the time and frequency analysis, the proposed method obtains the ZVS regions over the whole load range. Furthermore, the system achieves the optimal efficiency under the target case with the critical ZVS operation. A 65-W full-bridge 6.78-MHz WPTS is built to verify the accuracy and coherence of the proposed tuning method. The system can achieve an efficiency of 88.51% and 88.29% with an output power of 77.14 W and 62.52 W, respectively. Compared with the control parameters, the power loss of the proposed parameter over the whole load range has been reduced by 15.7%.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.