IPM Motor

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  1. New Opportunities for Motor Design – Electric and Hybrid Propulsion of Aircraft

    Bulent Sarlioglu, University of Wisconsin-Madison

  2. Development of High-Power-Density Machines for Aircraft Applications

    Dheeraj Bobba, University of Wisconsin-Madison

  3. Integrated Framework for Design Synthesis and Optimization of IPM Machine for Off Highway Applications

    Shashikiran HK, John Deere India Pvt. Ltd.

  4. Analyzing Permanent Magnet Motors with Magnetic Field + Structural Coupling Using PSL (Power Simulation Licenses)

    Makoto Matsushita, Toshiba Infrastructure Systems & Solutions Corporation / Takashi Nakaoka, JSOL Corp.

  5. Application of Machine Learning and Enhanced 3D Modeling on HPC Systems for End-Winding AC Loss Model Identification

    David Philipp Morisco, Robert Bosch GmbH

  6. Magnetic Field Analysis of Permanent Magnet Synchronous Motor Using JMAG-Designer Ver.17.1 with Control Circuit Modeling Functions

    Tatsuo Nishimura, Mitsubishi Electric Corporation

  7. JMAG-RT Case Studies Using 3D Analysis

    Natsumi Tamura, Mitsuba Corporation

  8. Design of IPM Machines with Hairpin Windings for Electric Vehicle Applications

    Bernd Cebulski, IAV GmbH Chemnitz

  9. Application of Hysteresis Model to Improve Accuracy of Iron Loss Estimation for Rotating Machine

    Takuya Yoshioka, DENSO CORPORATION

  10. Analysis of the Electromagnetic NVH of Electrical Machines

    Stephan Guenther, AVL Software and Functions GmbH

  11. Electromagnetic Force Analysis of Permanent Magnet Synchronous Motor Driven by PWM Inverter

    Katsuhiro Hoshino, Hitachi Automotive Systems, Ltd.

  12. [JAC142] Press Fit Analysis of a Divided Core

    This Application Note presents how to use the Press Fit condition to model an analysis of the stress from fitting a core to a frame, and then obtain the iron loss density of an IP…

  13. [L-MB-36] Highly-Accurate Estimation of Motor Behavior Using Detailed Motor Characteristics Obtained from JMAG-RT

    In order to achieve high responsiveness in motor control, it is necessary to accurately predict the behavior of a running motor. Since motor parameters used in observer models are…

  14. [L-MB-33]Supporting Motor Drive Development with a JMAG-MATLAB/Simulink Coupling

    Together with Mathworks, the company that develops MATLAB/Simulink (hereafter referred to as "Simulink"), JMAG strongly supports model-based development (hereafter referred to as …

  15. [L-MO-29] Creating Efficiency Maps with JMAG (FEA)

    JMAG now offers a tool which uses finite element analysis (FEA) calculations to output an efficiency map. The advantage of using FEA to calculate an efficiency map is accuracy. In…

  16. [L-MU-93] JMAG/Adams/Simulink Coupled Vehicle Drive Simulation

    Generally, it is said that drive motors used in electric cars have less vibration than engines, however, vibration caused by torque ripple may be transmitted to the entire vehicle…

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