Design Exploration / Optimization
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Development of a High-Speed Optimization Workflow Utilizing HPC-Based Multi-Case Distributed Computing
Takuya Yoshioka, DENSO CORPORATION
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Introduction to a New Motor Design Approach and BEV Optimization for Product Planning
Seiji Fukui, Mazda Motor Corporation
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Machine learning in traction motor design – fragile hype or real revolution? An experience report.
Louis Jäkel, IAV Japan Co., Ltd.
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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-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…
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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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[JFT207] Offline Optimization Using a Surrogate Model
This tutorial describes the procedures to run an offline optimization using only a surrogate model created via an optimization in advance.
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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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[JFT152] Output of Response Values Using Surrogate Models
In this document, a macro is provided for quickly evaluating the results obtained by design parameter combinations using surrogate models. This document, as a workflow for paramet…
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[JFT146] Optimization Calculation Using Surrogate Models
This document describes as the workflow for optimization calculations using surrogate models creating training data, creating the sample case, and using a surrogate model in runni…
