JMAG-Designer

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  1. High Fidelity 3D Virtual Prototype Integration into a Rapid Innovation Loop

    Jacob Krizan, Ford Motor Company

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

    Po-Chang Hung, Gogoro Inc.

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

    Martin Bruell, Schaeffler AG

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

    Hiroshi Yoda, Railway Technical Research Institute

  10. Application Research of JMAG in Large Turbine Generators

    Baichuan Xu, SHANGHAI GENERATOR PLANT

  11. 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.

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

    Lu-Dac, Speedgoat GmbH

  13. [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…

  14. [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…

  15. [L-HT-210] Evaluation of Temperature Variations in Motor Parts During the Drive Cycle

    OverviewMotor development must pursue a wide range of performance and other requirements from greater miniaturization, higher efficiency and heat management to reductions in costs…

  16. [L-OP-190] Standalone Simulations to Evaluate Magnetic, Thermal, Structural, and Control Designs

    This case study runs an optimization on the initial nabla-shaped IPM drive motor design to maximize torque and minimize magnet mass for greater fuel economy during the WLTC drive …

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