Optimization
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Data-Driven Optimization of E-Machines Considering the Powertrain of Electric Vehicles
Maximilian Clauer, Dr. Ing. h.c. F. Porsche AG
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Acceleration of Shape Search for Axial Flux-Switching Motors with Surrogate Models
Yuto Kimura, YANMAR HOLDINGS CO.,LTD.
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Exploration of Motor Skew Specifications Using Parametric Optimization
Yoshiki Sakuma, AISIN CORPORATION
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[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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[L-SE-194] Many-Case Distributed Calculations: Performance of Large-Scale Optimization
Optimization with many design variables requires exploring a large design space, leading to increased computational cost. In these scenarios, leveraging distributed processing on …
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[L-OP-201] Storing and Reusing Simulation Data
In this case study, JMAG Design Explorer is used to reference and compare ten different optimization results for two types of motors—IPM motors and induction motors—each with diff…
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[L-OP-187] Multi-disciplinary Evaluation for Optimal Design Without Rework
In this case study, we optimize a wound field synchronous motor (EESM) with two objective functions - average efficiency under the WLTC driving cycle and maximizing torque.
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[L-OP-188] High-Speed Large-Scale Design Space Exploration Using Surrogate Model-Assisted Optimization
In this case study, we used JMAG to optimize the geometry of an induction heating coil with surrogate models.
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[JAC307] Topology Optimization of SPM Motor Using the Magnet Orientation Direction as a Design Variable
This case study runs an optimization to simultaneously explore the magnet topology and orientation directions through design variables to obtain at least the same torque as a Halb…
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[JAC302] Optimization of IPM Motor Geometry and Coil Turns
This case study optimizes IPM motor geometry and coil turns by using objective functions to maximize the average efficiency of several operating points and minimize the volume to …
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The Future of R&D and Design: What Can Electromagnetic Field Analysis and Artificial Intelligence Do for You?
Hajime Igarashi, Hokkaido University
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Improvement of Motor Design Process through Topology Optimization and Parametric Multi-Objective Optimization
Hisayoshi Takeuchi, DAIHATSU MOTOR CO.,LTD.
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Case Study of Data-driven Design in Electric Motor Development
Naoki Ohmura, IHI Corporation
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Advanced 3D Simulation and Optimization of Dual-Rotor Radial-Flux Electric Machines Using JMAG
Adrian Wanner, DeepDrive GmbH
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Design And Simulation Of High-Performance Permanent Magnet Synchronous Machines for Next Generation of Systems
Bulent Sarlioglu, University of Wisconsin-Madison
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High Performance, Sustainable and Affordable Rare-Earth Free Electric Machines.
Philippe FARAH, YEESMA
