IPM Motor
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New Opportunities for Motor Design – Electric and Hybrid Propulsion of Aircraft
Bulent Sarlioglu, University of Wisconsin-Madison
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Development of High-Power-Density Machines for Aircraft Applications
Dheeraj Bobba, University of Wisconsin-Madison
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Integrated Framework for Design Synthesis and Optimization of IPM Machine for Off Highway Applications
Shashikiran HK, John Deere India Pvt. Ltd.
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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.
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Application of Machine Learning and Enhanced 3D Modeling on HPC Systems for End-Winding AC Loss Model Identification
David Philipp Morisco, Robert Bosch GmbH
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Magnetic Field Analysis of Permanent Magnet Synchronous Motor Using JMAG-Designer Ver.17.1 with Control Circuit Modeling Functions
Tatsuo Nishimura, Mitsubishi Electric Corporation
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JMAG-RT Case Studies Using 3D Analysis
Natsumi Tamura, Mitsuba Corporation
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Design of IPM Machines with Hairpin Windings for Electric Vehicle Applications
Bernd Cebulski, IAV GmbH Chemnitz
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Application of Hysteresis Model to Improve Accuracy of Iron Loss Estimation for Rotating Machine
Takuya Yoshioka, DENSO CORPORATION
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Analysis of the Electromagnetic NVH of Electrical Machines
Stephan Guenther, AVL Software and Functions GmbH
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Electromagnetic Force Analysis of Permanent Magnet Synchronous Motor Driven by PWM Inverter
Katsuhiro Hoshino, Hitachi Automotive Systems, Ltd.
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[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…
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[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…
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[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 …
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[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…
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[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…