2025

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  1. Development of a High-Speed Optimization Workflow Utilizing HPC-Based Multi-Case Distributed Computing

    Takuya Yoshioka, DENSO CORPORATION

  2. Shape Optimization to Improve the Coupling Coefficient of a Power Transformer

    Ryosuke Takayama, DIAMET CORPORATION

  3. Introduction to a New Motor Design Approach and BEV Optimization for Product Planning

    Seiji Fukui, Mazda Motor Corporation

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

    Louis Jäkel, IAV Japan Co., Ltd.

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

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

  6. Multi Performance Parametric Optimization for Motors Using Machine Learning Models

    Koichi Yakawa, Mazda Motor Corporation

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

    Yuto Kimura, YANMAR HOLDINGS CO.,LTD.

  8. Exploration of Motor Skew Specifications Using Parametric Optimization

    Yoshiki Sakuma, AISIN CORPORATION

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

    Hiroshi Yoda, Railway Technical Research Institute

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

    Sho Uchiyama, MEIDENSHA CORPORATION

  11. Application Research of JMAG in Large Turbine Generators

    Baichuan Xu, SHANGHAI GENERATOR PLANT

  12. 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.

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

    Lu-Dac, Speedgoat GmbH

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