Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
PO3: Online poster session 3: Optimization/ AI and machine learning
Time:
Monday, 29/May/2023 - Friday, 9/June/2023:
all day

Session Chair: Dr. Takahiro Sato, Muroran Institute of Technology, Japan

Presentations
ID: 114 / PO3: 1
Topics: Optimization and Design, Novel Computational Methods for Machines and Devices
Keywords: design optimization, optimization methods, topology, reluctance machines.

Design Optimization of a Synchronous Reluctance Machine by Using the Combined Topology - Normalized Shape Method

Hongming Zhang1, Shiwei Zhang1, Chengcheng Liu1, Gang Lei2, Youhua Wang1, Jianguo Zhu2

1Hebei University of Technology, China, People's Republic of; 2Sydney University of Science and Technology,Australia



ID: 320 / PO3: 2
Topics: Optimization and Design, Multi-Physics and Coupled Problems
Keywords: vibration reduction, inverse-magnetostriction effect, topology optimization, amorphous alloy

Topology Optimization for Vibration Reduction Structures of Reactor Core Considering the Inverse-Magnetostriction Effect

Tong Ben, Min Fang, Long Chen, Ping Zhang

China Three Gorges University, China, People's Republic of



ID: 242 / PO3: 3
Topics: Optimization and Design
Keywords: Interior permanent magnet synchronous motor, multimodal, optimization, pattern search method

Optimal Design of IPMSM for HEVs Using Circular Area Movement Optimization With Pattern Search Method

Joo-Chang Lee, Dong-kuk Lim

University of Ulsan, Korea, Republic of (South Korea)



ID: 219 / PO3: 4
Topics: Optimization and Design
Keywords: Wireless power transmission, Optimization, Current-voltage.

Design and Optimization of An Integrated Coil Wireless Charging System Based on a Switchable Hybrid Structure

Long Chen1,2, Fei Wu1, Tong Ben2, Chunwei Zhang1

1College of Electrical Engineering and New Energy, China Three Gorges University; 2Hubei Provincial Research Center on Microgrid Engineering Technology, China Three Gorges University



ID: 240 / PO3: 5
Topics: Optimization and Design
Keywords: Classification algorithms, design optimization, machine learning, permanent magnet motors

Multimodal Optimization Based on Machine Learning Assisted by Surrogate Model of IPMSM for Electric Vehicles

Jeong-Woo Kim, Dong-Kuk Lim

University of Ulsan, Korea, Republic of (South Korea)



ID: 244 / PO3: 6
Topics: Optimization and Design
Keywords: Design optimization, permanent magnet motors, traction motors, motors

Optimal Design of PMa-SynRM for Electric Vehicles using Sub Region Assisted Hybrid Algorithm with Adaptive Simplex

Ji-Sung Lee, Dong-Kuk Lim

University of Ulsan, Korea, Republic of (South Korea)



ID: 572 / PO3: 7
Topics: Mathematical Modelling and Formulations
Keywords: Optimization

(This contribution was withdrawn)

Conference Organizer

Compumag2023 secretariat



ID: 202 / PO3: 8
Topics: Static and Quasi-Static Fields, Numerical Techniques, Novel Computational Methods for Machines and Devices, AI and Machine Learning Technologies
Keywords: Electromagnetic rail launcher, electromagnetic field, deep learning, image prediction

Electromagnetic Field Cloud Image Prediction Method for Electromagnetic Rail Launcher at High Speed Based on Deep Learning

Liang Jin1,2, Dexin Gong1,2, Qingxin Yang1, Zhenhao Yin1

1State Key Laboratory of Electrical Equipment Reliability and Intelligentization; 2Hebei Provincial Key Laboratory of Electromagnetic Field and Reliability



ID: 271 / PO3: 9
Topics: Novel Computational Methods for Machines and Devices, AI and Machine Learning Technologies
Keywords: Neural networks, Prediction methods, Railguns, Long Term Evolution

Physics-augmented ConvLSTM Neural Network for Electromagnetic Field Prediction of Electromagnetic Railgun

Liang Jin1,2, Shuo Shi1,2, Dexin Gong1,2

1State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China, People's Republic of; 2Hebei Provincial Key Laboratory of Electromagnetic Field and Reliability, Hebei University of Technology



ID: 157 / PO3: 10
Topics: Material Modelling
Keywords: Inverse rheological hysteresis model, parameter identification, first-order reversal curves, soft magnetic materials

Inverse Rheological Hysteresis Model and Its Efficient Parameter Identification Method

Ren Liu, Youhao Lu

China Three Gorges University, China, People's Republic of



ID: 196 / PO3: 11
Topics: Optimization and Design
Keywords: Design optimization, eddy currents, sensitivity analysis, thermal engineering

Continuum Sensitivity Analysis for Shape Optimization of Steady-state Electrothermal Systems

JUN SEONG LEE, JONG OH PARK, IL HAN PARK

Sungkyunkwan University, Korea, Republic of (South Korea)



ID: 200 / PO3: 12
Topics: Optimization and Design, AI and Machine Learning Technologies
Keywords: TEAM Problem 35, guided optimization, pareto solution.

Benchmarking TEAM problem for guidance optimization based on magnetic field distribution characteristics

Liang Jin, Yuankai Liu, Qingxin Yang

Hebei University of Technology, China, People's Republic of



ID: 350 / PO3: 13
Topics: Optimization and Design
Keywords: external rotor permanent magnet machine; multi-objective optimization; BP neural network; finite element analysis.

Multi-objective Optimization Design of External Rotor Permanent Magnet Machine for In-wheel Applications

Chengxu Sun, Qi Li, Tao Fan, Ye Li

Institute of Electrical Engineering, Chinese Academy of Sciences, China, People's Republic of



ID: 547 / PO3: 14
Topics: Optimization and Design
Keywords: Permanent magnet machines, finite element analysis, torque, permanent magnets, optimization.

Optimization Design of a Novel Partioned Stator Hybrid Excitation Permanent Magnet Vernier Machine with DC Biased Sinusoidal Current

Liangliang Wei1, Dongqing Liu1, Hang Zhou2, Jiaxin Yuan2

1School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou 510275, China; 2School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China,



ID: 267 / PO3: 15
Topics: Mathematical Modelling and Formulations, AI and Machine Learning Technologies
Keywords: Hysteresis model, Recurrent Neural Network, Machine Learing, Magnetic characteristic measurement

Magnetic Properties Simulation of Electrical Steel Sheet Based on Recurrent Neural Network

Hao Zhang1, Qingxin Yang1,2, Changgeng Zhang1, Yongjian Li1, Yifan Chen1

1Hebei University of technology, China, People's Republic of; 2Tianjin University of Technology, China, People's Republic of



ID: 558 / PO3: 16
Topics: AI and Machine Learning Technologies
Keywords: Electromagnetic field distribution, FEM, U-net, ResNet, Attention mechanism

Electromagnetic Field Estimated by Improved U-net Neural Network

Yifan Chen1, Qingxin Yang1,2, Yongjian Li1, Hao Zhang1, Changgeng Zhang1

1State Key Laboratory of EERI, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China; 2School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China



ID: 388 / PO3: 17
Topics: Optimization and Design
Keywords: Topology optimization, multi-objective optimization, evolutionary algorithm, deep learning

A Multi-objective Topology Optimization Methodology using Deep Learning and its Application to Electromagnetic Devices

Yilun Li1, Shiyou Yang2, Zhuoxiang Ren3

1Donghua University, China, People's Republic of; 2Zhejiang University, China, People's Republic of; 3Sorbonne University, France