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An Attended-Free, All-in-One-Go, Automatic Analysis Assistant Software for E-liked Shape Contactless Inductive Power Transfer Device

Author

Listed:
  • Yumeng Lan

    (Department of Engineering and Applied Sciences, Sophia University, Tokyo 1028554, Japan)

  • Masafumi Miyatake

    (Department of Engineering and Applied Sciences, Sophia University, Tokyo 1028554, Japan)

Abstract

This paper presents automatic software for E-liked shaped contactless inductive power transfer (CIPT) device study and design that provides attended-free, multiple-case auto-generating and auto-deploying analysis in one go. It provides visualized and listed results in a design space or for optimizing solutions. To satisfy the demand for static and dynamic charging devices, the software provides specific cores, such as EE-, EI-, IE-, and II-shaped, with or without legs as optional core structures. The software contains three main parts: a user-friendly interface, analytic approaches providing grid analysis that represent the general performance in a designated parameter range, and optimal analysis for multi-objective optimization using a genetic algorithm (GA). The post-analysis processor converts the analysis results to easy-to-read outputs. Users can customize various parameters, such as core type, structural size, circuit configuration, materials, and analysis setting. Automatic functions, such as resistance and compensation calculation, are available for the convenience of the user. By applying one approach, or by combining them in a specific order, the software achieves designs that satisfy the user’s demands within the user-provided range. The software is built in Python and collaborates with a finite element method (FEM) solver, which is JMAG in this paper. Some examples are given to demonstrate the performance of the software.

Suggested Citation

  • Yumeng Lan & Masafumi Miyatake, 2022. "An Attended-Free, All-in-One-Go, Automatic Analysis Assistant Software for E-liked Shape Contactless Inductive Power Transfer Device," Energies, MDPI, vol. 15(17), pages 1-23, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6244-:d:899051
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    References listed on IDEAS

    as
    1. Yuyu Geng & Tao Wang & Shiyun Xie & Yi Yang, 2022. "Analysis and Design of Wireless Power Transfer Systems Applied to Electrical Vehicle Supercapacitor Charge Using Variable-Resistance-Based Method," Energies, MDPI, vol. 15(16), pages 1-15, August.
    2. Anahita Bagheri & Abbas Erfanian & Adib Abrishamifar, 2020. "A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm," Energies, MDPI, vol. 13(2), pages 1-17, January.
    3. Tommaso Campi & Silvano Cruciani & Francesca Maradei & Mauro Feliziani, 2021. "Two-Coil Receiver for Electrical Vehicles in Dynamic Wireless Power Transfer," Energies, MDPI, vol. 14(22), pages 1-14, November.
    4. Jinwook Kim & Do-Hyeon Kim & Jieun Kim & Young-Jin Park, 2021. "Wireless Power Transfer between Two Self-Resonant Coils over Medium Distance Supporting Optimal Impedance Matching Using Ferrite Core Transformers," Energies, MDPI, vol. 14(24), pages 1-15, December.
    5. Manuele Bertoluzzo & Stefano Giacomuzzi & Elisabetta Sieni, 2020. "Automatic Optimization of the Compensation Networks of a Wireless Power Transfer System," Energies, MDPI, vol. 13(20), pages 1-15, October.
    6. Fei Lu & Hua Zhang & Chris Mi, 2017. "A Review on the Recent Development of Capacitive Wireless Power Transfer Technology," Energies, MDPI, vol. 10(11), pages 1-30, November.
    7. Ching-Yao Liu & Guo-Bin Wang & Chih-Chiang Wu & Edward Yi Chang & Stone Cheng & Wei-Hua Chieng, 2021. "Derivation of the Resonance Mechanism for Wireless Power Transfer Using Class-E Amplifier," Energies, MDPI, vol. 14(3), pages 1-22, January.
    8. Emrullah Aydin & Mehmet Timur Aydemir & Ahmet Aksoz & Mohamed El Baghdadi & Omar Hegazy, 2022. "Inductive Power Transfer for Electric Vehicle Charging Applications: A Comprehensive Review," Energies, MDPI, vol. 15(14), pages 1-24, July.
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