Kriging-Assisted Multi-Objective Optimization Framework for Electric Motors Using Predetermined Driving Strategy
Author:
Affiliation:
1. Vehicle Industry Research Center, Széchenyi István University, Egyetem Tér 1, 9026 Győr, Hungary
2. Department of Mathematics and Computational Sciences, Széchenyi István University, Egyetem Tér 1, 9026 Győr, Hungary
Abstract
Funder
European Union within the framework of the National Laboratory for Artificial Intelligence
Publisher
MDPI AG
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Link
https://www.mdpi.com/1996-1073/16/12/4713/pdf
Reference14 articles.
1. Comparative Analysis of Surface Mounted and Interior Permanent Magnet Synchronous Motor for Low Rating Power Application;Naik;J. Phys. Conf. Ser.,2021
2. Istenes, G., and Horvath, Z. (2022, January 1–4). Multi-objective Optimization of Electric Motors with a Kriging Surrogate Model. Proceedings of the IEEE 2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA), Bourgas, Bulgaria.
3. Minimization of Starting Energy Loss of Three Phase Induction Motors Based on Particle Swarm Optimization and Neuro Fuzzy Network;Elkholy;Int. J. Power Electron. Drive Syst.,2016
4. A GSA Based Torque and Loss Optimisation of an Induction Motor;Das;Int. J. Adv. Res. Electr. Electron. Instrum. Energy,2013
5. Bittner, F., and Hahn, I. (2013, January 12–15). Kriging-Assisted Multi-Objective Particle Swarm Optimization of Permanent Magnet Synchronous Machine for Hybrid and Electric Cars. Proceedings of the 2013 International Electric Machines & Drives Conference, Chicago, IL, USA.
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