Automotive

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  1. Comparing Numerical with Statistical Iron Core Loss Modelling Approaches for Application in Automotive Traction Electrical Machines

    Sigrid JACOBS / Jan RENS, ArcelorMittal

  2. Validated Efficiency Simulation of Electrical Machine Based on JMAG-Designer

    Li Chen, United Automotive Electronic Systems Co.,Ltd.

  3. Enabling Full EDU Optimization and Losses Analysis Under Different PWM Strategies and DC Voltages Employing Combined JMAG-MATLAB Simulation Environments

    Nicola Rossi, Rimac Technology

  4. Applied Cases of EV Motor Controller Tuning by MILS using JMAG-RT

    Nobuo Morimura, SUBARU CORPORATION

  5. Coupled Optimization of Active and Passive Components in Electric Machines: Towards Performance, Efficiency, Reliability and EMC Objectives

    Mohamed Essam Ahmed, AVL List GmbH

  6. Practical Robust Optimization Method using HPC

    Takuya Yoshioka, DENSO CORPORATION

  7. Initiatives in Induction Hardening Simulation by coupling JMAG and Simufact

    Ippei Ohnuma, NDK Inc.

  8. Optimizing Motor Shrink Fitting Process Conditions using Induction Heating

    Keisuke Ando, NIPPON THERMONICS CO.,LTD

  9. Analysis of Electromagnetic Force Acting on a Workpiece During Induction Heating

    Go Hagimoto, NSK Ltd.

  10. Model-Based Calibration Enables Optimal Torque Control of Synchronous Motors in a Short Time

    Atsushi Katagiri, MathWorks Japan

  11. SIMBA, Reinventing Motor Drive Simulation

    Ryoko Imamura, Powersys

  12. Sinfonia Technology Co., Ltd.

    As an electrical machine manufacturer, Sinfonia Technology boasts a diverse product lineup that leverages its technological development capabilities centered on rotation machines …

  13. AISIN CORPORATION

    AISIN CORPORATION(Part l)

    We spoke with Ms. Okawa, Associate Officer in charge of the Power Train and Electrification Development of the Powertrain Company, the key figure in technology development and pro…

  14. AISIN CORPORATION

    AISIN CORPORATION(Part ll)

    Interview of technical experts working on developing the traction system (eAxle) for BEVs (Battery Electric Vehicle).

  15. okayamauniv

    Aiming for Further Improved High Power Density Motor

    Masatsugu Takemoto, Okayama University

  16. An Introduction of Cloud Computing Application for Motor Design Speed Improvement

    Kensuke Sasaki, Nissan Motor Co., Ltd.

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