Work

Optimization of Magnetic Components Using Simulated Annealing: Balancing Core Loss Minimization and Magnetic Energy Transmission

Year: 2025

Type: conference-paper

Abstract: With the growth of electric vehicles and renewable energy in China, the demand for magnetic components has increased. This, in turn, impacts power conversion system efficiency. This study uses an optimization method, balancing core loss minimization and magnetic energy transmission. We combine a core loss prediction and energy transmission evaluation model, and in turn apply the simulated annealing algorithm for global optimization. In this study, we investigate the influence of many factors. The results show that the optimization model reduces core loss and enhances magnetic energy transmission. This study offers practical value for improving magnetic component design and power electronic devices.

Source: International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC)

DOI: 10.1145/3745533.3745559

Authors: Jiayin Shen, Wenhao Song

Institution: Shanghai Maritime University

Language: English

Topic: Advanced DC-DC Converters

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

Funder: National Social Science Fund of China