Machine Learning Based Design of Magnetic Coupler for Wireless Power Transfer-Reference-Cited by-同舟云学术

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Machine Learning Based Design of Magnetic Coupler for Wireless Power Transfer

Published:2024-05-19 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Ding Wenhua¹,Wang Yufei¹,Chen Tingyu¹,Luo Mengna¹,Lei Jinpeng¹,Liang Yaofeng¹,Huang Zhicong¹

Affiliation:

1. South China University of Technology,Shien-Ming Wu School of Intelligent Engineering,Guangzhou,China

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangdong Province

Natural Science Foundation of Guangdong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10557746/10557828/10558175.pdf?arnumber=10558175

Reference10 articles.

1. Wireless Power Transfer for Electric Vehicle Applications

2. Design, Challenges, and Trends of Inductive Power Transfer Couplers for Electric Vehicles: A Review

3. Electrically propelled road vehicles—magnetic field wireless power transfer—safety and interoperability requirements

4. Feasibility Study on Machine Learning-based Method for Determining Self-and Mutual Inductance

5. Inductance Calculations for Circular Coils of Rectangular Cross Section and Parallel Axes Using Bessel and Struve Functions

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