IPM Motor
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[L-OP-218] Optimization of Materials as Design Variables
This case study runs a multi-objective geometry and material optimization of an IPM motor to minimize the iron losses and material costs. The material optimization evaluates nine …
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[W-VI-192] Proposal for System-level Noise/Vibration Design Process Using Transfer Functions
This paper proposes a new system-level noise and vibration design process that takes advantage of transfer functions to realize designs that account for the magnetic characteristi…
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[L-HT-219] N-T Curve Evaluations Accounting for Short-Time Operation Characteristics
This case study obtains the N-T curves for a nabla-shaped IPM motor under various duty cycles while taking into account the temperature limits of each part. The analysis results i…
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[JAC317] Optimization via a Surrogate Model Using Materials as Design Variables
This case study runs a material optimization of an IPM motor that minimizes the iron losses and material costs to select the best core from three types of materials: electromagnet…
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[JAC319] Design Exploration of an IPM Motor Using an Offline Optimization
This document introduces a process for an offline optimization run using a surrogate model to explore design solutions that satisfy the requirements in less time while also reduci…
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[L-MO-216] Evaluating Motors Designs via Efficiency Maps While Accounting for Power Limits
This case study evaluates the efficiency maps and operating points of an IPM motor during the drive cycle while accounting for the power limits.
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Modeling the Life Cycle of PM Rotor Performance from Magnetizing to Demagnetizing
Alireza Fatemi, General Motors
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Advancing CSC Electrical Steels: From Material Development to Measurement and Prototype Applications
Chen Guan-Ming, China Steel Corporation
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High Fidelity 3D Virtual Prototype Integration into a Rapid Innovation Loop
Jacob Krizan, Ford Motor Company
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What Is the Role of JMAG in the Electric Machine Design?
Po-Chang Hung, Gogoro Inc.
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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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Importance of Wide-Band Support in Motor Loss Evaluations – Measurements and Analyses Accounting for Ringing Loss
Masakazu Akahane, HIOKI E.E. CORPORATION / Hiroyuki Sano, JSOL Corp.
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[L-HT-210] Evaluation of Temperature Variations in Motor Parts During the Drive Cycle
OverviewMotor development must pursue a wide range of performance and other requirements from greater miniaturization, higher efficiency and heat management to reductions in costs…
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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 …
