JMAG Users Conference Proceedings

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  1. Machine learning in traction motor design – fragile hype or real revolution? An experience report.

    Louis Jäkel, IAV Japan Co., Ltd.

  2. Data-Driven Optimization of E-Machines Considering the Powertrain of Electric Vehicles

    Maximilian Clauer, Dr. Ing. h.c. F. Porsche AG

  3. Acceleration of Shape Search for Axial Flux-Switching Motors with Surrogate Models

    Yuto Kimura, YANMAR HOLDINGS CO.,LTD.

  4. Exploration of Motor Skew Specifications Using Parametric Optimization

    Yoshiki Sakuma, AISIN CORPORATION

  5. Large-Scale Analysis of High-Efficiency Induction Motor for Railway Traction Applications

    Hiroshi Yoda, Railway Technical Research Institute

  6. Eddy Current Loss Analysis in Solid Rotor Squirrel-Cage Induction Motors

    Sho Uchiyama, MEIDENSHA CORPORATION

  7. Application Research of JMAG in Large Turbine Generators

    Baichuan Xu, SHANGHAI GENERATOR PLANT

  8. Importance of Wide-Band Support in Motor Loss Evaluations – Measurements and Analyses Accounting for Ringing Loss

    Masakazu Akahane, HIOKI E.E. CORPORATION / Hiroyuki Sano, JSOL Corp.

  9. Combining FEM-Based Torque Ripple and Switching Inverter Dynamics for Electric Drive Controller Validation on Speedgoat Test Systems

    Lu-Dac, Speedgoat GmbH

  10. JMAG Product Vision

    Takashi Yamada, JSOL Corp.

    • The Future of R&D and Design: What Can Electromagnetic Field Analysis and Artificial Intelligence Do for You?

      Hajime Igarashi, Hokkaido University

    • Improvement of Motor Design Process through Topology Optimization and Parametric Multi-Objective Optimization

      Hisayoshi Takeuchi, DAIHATSU MOTOR CO.,LTD.

    • Case Study of Data-driven Design in Electric Motor Development

      Naoki Ohmura, IHI Corporation

    • Characteristic Analysis of 12/10 Switched Reluctance Motor Using Control Circuit Function of JMAG-Designer

      Nozomu Takemura, Osaka University / LG Japan Lab Inc.

    • Effect of High Voltage System on Drive Motor Performance

      Nathan Li, NIO Inc.

    • High Voltage IWM Lightweight Development

      David Chu, FUKUTA ELEC. & MACH. CO, LTD.

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