Xiangrui He;Ruyue Lv;Anqi Hu;Yingqin Zeng;Conghui Lu;Cancan Rong;Minghai Liu
{"title":"在电动汽车无线充电系统中实现高输出稳定性和低磁场暴露的容错线圈阵列","authors":"Xiangrui He;Ruyue Lv;Anqi Hu;Yingqin Zeng;Conghui Lu;Cancan Rong;Minghai Liu","doi":"10.1109/TIE.2025.3555029","DOIUrl":null,"url":null,"abstract":"Wireless charging liberates complex manual operations but typically suffers from an inherent sensitivity to the arbitrary offset for parked electric vehicle (EV). To address this issue, this article presents a misalignment- tolerant coil array (MT-CA) as a repeater, which consists of three identical coils but with distinct compensation. Specifically, MT-CA can suppress the output fluctuation and high leakage magnetic field due to offset. By applying the concept of current ratio (CR), a detailed mathematical model is derived to intuitively reveal the compensation strategy for MT-CA under misalignment. It suggests that anti-misalignment performance of MT-CA can be achieved by only solving a quadratic programming (QP) problem containing two equality constraints. The effectiveness of MT-CA is evaluated in a 1-kW prototype under three typical misaligned cases. The results state that the output current fluctuation among these cases is only 5.82% with a peak efficiency of 93.79%. Besides, decline of leakage magnetic field can reach up to 8.85 dB while meeting safety limit. The proposal of MT-CA can serve as guidelines to improve the misalignment tolerance of EV wireless charging system.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 10","pages":"10279-10289"},"PeriodicalIF":7.2000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Misalignment-Tolerant Coil Array for High Output Stability and Low Magnetic Field Exposure in EV Wireless Charging System\",\"authors\":\"Xiangrui He;Ruyue Lv;Anqi Hu;Yingqin Zeng;Conghui Lu;Cancan Rong;Minghai Liu\",\"doi\":\"10.1109/TIE.2025.3555029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless charging liberates complex manual operations but typically suffers from an inherent sensitivity to the arbitrary offset for parked electric vehicle (EV). To address this issue, this article presents a misalignment- tolerant coil array (MT-CA) as a repeater, which consists of three identical coils but with distinct compensation. Specifically, MT-CA can suppress the output fluctuation and high leakage magnetic field due to offset. By applying the concept of current ratio (CR), a detailed mathematical model is derived to intuitively reveal the compensation strategy for MT-CA under misalignment. It suggests that anti-misalignment performance of MT-CA can be achieved by only solving a quadratic programming (QP) problem containing two equality constraints. The effectiveness of MT-CA is evaluated in a 1-kW prototype under three typical misaligned cases. The results state that the output current fluctuation among these cases is only 5.82% with a peak efficiency of 93.79%. Besides, decline of leakage magnetic field can reach up to 8.85 dB while meeting safety limit. The proposal of MT-CA can serve as guidelines to improve the misalignment tolerance of EV wireless charging system.\",\"PeriodicalId\":13402,\"journal\":{\"name\":\"IEEE Transactions on Industrial Electronics\",\"volume\":\"72 10\",\"pages\":\"10279-10289\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2025-04-14\",\"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/10964345/\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10964345/","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}
A Misalignment-Tolerant Coil Array for High Output Stability and Low Magnetic Field Exposure in EV Wireless Charging System
Wireless charging liberates complex manual operations but typically suffers from an inherent sensitivity to the arbitrary offset for parked electric vehicle (EV). To address this issue, this article presents a misalignment- tolerant coil array (MT-CA) as a repeater, which consists of three identical coils but with distinct compensation. Specifically, MT-CA can suppress the output fluctuation and high leakage magnetic field due to offset. By applying the concept of current ratio (CR), a detailed mathematical model is derived to intuitively reveal the compensation strategy for MT-CA under misalignment. It suggests that anti-misalignment performance of MT-CA can be achieved by only solving a quadratic programming (QP) problem containing two equality constraints. The effectiveness of MT-CA is evaluated in a 1-kW prototype under three typical misaligned cases. The results state that the output current fluctuation among these cases is only 5.82% with a peak efficiency of 93.79%. Besides, decline of leakage magnetic field can reach up to 8.85 dB while meeting safety limit. The proposal of MT-CA can serve as guidelines to improve the misalignment tolerance of EV wireless charging system.
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.