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 Zhang 1 , Shiwei Zhang 1 , Chengcheng Liu 1 , Gang Lei 2 , Youhua Wang 1 , Jianguo Zhu 2

1 Hebei University of Technology, China, People's Republic of; 2 Sydney 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 Chen 1,2 , Fei Wu 1 , Tong Ben 2 , Chunwei Zhang 1

1 College of Electrical Engineering and New Energy, China Three Gorges University; 2 Hubei 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 Jin 1,2 , Dexin Gong 1,2 , Qingxin Yang 1 , Zhenhao Yin 1

1 State Key Laboratory of Electrical Equipment Reliability and Intelligentization; 2 Hebei 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 Jin 1,2 , Shuo Shi 1,2 , Dexin Gong 1,2

1 State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China, People's Republic of; 2 Hebei 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 Wei 1 , Dongqing Liu 1 , Hang Zhou 2 , Jiaxin Yuan 2

1 School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou 510275, China; 2 School 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 Zhang 1 , Qingxin Yang 1,2 , Changgeng Zhang 1 , Yongjian Li 1 , Yifan Chen 1

1 Hebei University of technology, China, People's Republic of; 2 Tianjin 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 Chen 1 , Qingxin Yang 1,2 , Yongjian Li 1 , Hao Zhang 1 , Changgeng Zhang 1

1 State Key Laboratory of EERI, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China; 2 School 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 Li 1 , Shiyou Yang 2 , Zhuoxiang Ren 3

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