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  1. What Is the Role of JMAG in the Electric Machine Design?

    Po-Chang Hung, Gogoro Inc.

  2. Multi-physics Design Optimization of an Externally Excited Axial Flux Machine

    Martin Bruell, Schaeffler AG

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

    Takuya Yoshioka, DENSO CORPORATION

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

    Ryosuke Takayama, DIAMET CORPORATION

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

    Seiji Fukui, Mazda Motor Corporation

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

    Louis Jäkel, IAV Japan Co., Ltd.

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

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

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

    Yuto Kimura, YANMAR HOLDINGS CO.,LTD.

  9. Exploration of Motor Skew Specifications Using Parametric Optimization

    Yoshiki Sakuma, AISIN CORPORATION

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

    Hiroshi Yoda, Railway Technical Research Institute

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

    Sho Uchiyama, MEIDENSHA CORPORATION

  12. Application Research of JMAG in Large Turbine Generators

    Baichuan Xu, SHANGHAI GENERATOR PLANT

  13. 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.

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

    Lu-Dac, Speedgoat GmbH

  15. [L-HT-217] Modeling Forced Air Cooling

    This case study simulates a forced air cooling system inside an induction machine using two different types of fans. The results illustrated how different airflow rates of the fan…

  16. [L-OP-211] Offline Optimizations Using Surrogate Models

    This case study runs an offline optimization to explore the optimal geometry for an axial gap motor to maximize average torque and minimize losses. A constraint condition anticipa…

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