Updated on 2023/09/27

写真a

 
SHIGEMATSU Koichi
 
Organization
Institute of Materials and Systems for Sustainability Center for Integrated Research of Future Electronics Division Designated professor
Title
Designated professor
 

Papers 4

  1. Conference Report: The 11th International Conference on Power Electronics (ICPE 2023-ECCE Asia) May 22-25, 2023, Jeju, Korea

    IEEJ Transactions on Industry Applications   Vol. 143 ( 9 ) page: NL9_14 - NL9_14   2023.9

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    Language:Japanese   Publisher:The Institute of Electrical Engineers of Japan  

    DOI: 10.1541/ieejias.143.nl9_14

    CiNii Research

  2. Accurate Leakage Inductance Modeling Using an Artificial Neural Network Based on the Dowell Model

    Wu Yu-Hsin, Shigematsu Koichi, Omoto Yasumichi, Ikushima Yoshihiro, Imaoka Jun, Yamamoto Masayoshi

    IEEJ Journal of Industry Applications   Vol. 12 ( 3 ) page: 334 - 344   2023.5

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    Language:English   Publisher:The Institute of Electrical Engineers of Japan  

    <p>This study proposes strategies for improving the accuracy and usefulness of leakage inductance modeling using the Dowell model (DM). As the analytical method of modeling the leakage inductance model considers geometrical factors, it is vital for front-loading transformer design. DM is one such widely used one-dimensional magnetic field-based approach for analytically modeling both AC resistance and leakage inductance. It is more accurate and requires less computational work than other analytical approaches proposed in previous studies. However, some approximations may cause errors and eventually lead to inaccurate results. Therefore, this study aims to ascertain the conditions that result in inaccurate leakage inductance modeling. Additionally, a simple exponential-based model and an artificial neural network are developed to increase the accuracy of inaccurate modeling. The results clarify the conditions that result in a frequency-dependent and bias error. Moreover, the intended findings indicate that the proposed strategies effectively improve modeling accuracy while simultaneously providing some extra advantages for transformer design.</p>

    DOI: 10.1541/ieejjia.22007452

    Web of Science

    Scopus

    CiNii Research

  3. An Implementation of Dowell model with Neural Network to Foil Winding Transformer

    Wu Yu-Hsin, Shigematsu Koichi, Omoto Yasumichi, Ikushima Yoshihiro, Imaoka Jun, Yamamoto Masayoshi

    2023 IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, APEC   Vol. 2023-March   page: 2684 - 2689   2023

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    Publisher:Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC  

    This research investigates the accuracy of Dowell model (DM) and builds an accurate and practically useful semi-analytical method for leakage inductance modeling of foil winding transformers. As a widely used model for AC resistance and leakage inductance, DM is well known for its high applicability and high accuracy compared to the other modeling methods. However, it is found that transformers with certain geometrical conditions are used in most works of literature for implementing DM. Although some analyses about the modeling accuracy were conducted, the applicability of DM for some geometry is still unclear. Therefore, in this research, the accuracy of the modeling is analyzed, focusing on the frequency and geometry dependency of foil winding. Some results show the modeling error of DM has frequency dependency. Furthermore, modeling using DM with Artificial Neural Network (ANN) is implemented to achieve more practically usable modeling. As a result, the utility could be proved with accurate modeling results of the transformer samples. Some advantages are also discussed to show more possibility of developing this method.

    DOI: 10.1109/APEC43580.2023.10131441

    Web of Science

    Scopus

  4. Modeling of Lithium-Ion Batteries with Constant Phase Element and Butler-Volmer's Equation

    Yamahigashi T., Shimura J., Shibuya K., Wu Y.H., Shigematsu K., Hosotani T., Kuromi J., Imaoka J., Yamamoto M.

    ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics     page: 697 - 702   2023

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    Publisher:ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics  

    An equivalent circuit model of lithium-ion batteries which has a nonlinear resistor governed by Butler-Volmer's equation and a constant phase element was investigated. The current dependence of the real battery could be reproduced well by the contribution of the nonlinear resistor, and the transient response of voltage could be reproduced well by the contribution of the constant phase element.

    DOI: 10.23919/ICPE2023-ECCEAsia54778.2023.10213775

    Scopus