Design of Electric Vehicle’s Wireless Power Transfer System Based on Deep Learning Combined With Multi-Objective Optimization

Author:

Wang Tianhao1ORCID,Wu Yangyun1ORCID,Li Bo1,Yu Quanyi1,Xu Linlin1,Guan Shanshan1ORCID

Affiliation:

1. School of Instrument Science and Electrical Engineering, Jilin University, Changchun, China

Funder

Jilin Natural Science Foundation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Electronic, Optical and Magnetic Materials

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Uncertainty Quantification and Optimal Design of EV-WPT System Efficiency based on Adaptive Gaussian Process Regression;The Applied Computational Electromagnetics Society Journal (ACES);2024-04-16

2. AI-assisted Design for Reliability: Review and Perspectives;2024 25th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE);2024-04-07

3. An Efficient Inverse Modeling Method Using Translator-Inspired Neural Network and Dual-Annealing for a Compact WPT System;IEEE Transactions on Antennas and Propagation;2024-04

4. Mutual Inductance Estimation Using an ANN for Inductive Power Transfer in EV Charging Applications;Energies;2024-03-28

5. A Two-Stage Optimization Method of High-Power DWPT System for Electric Vehicle;IEEE Transactions on Components, Packaging and Manufacturing Technology;2024-02

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