@inproceedings{8f00ab3de4c34f32a3a7a6e050299034,
title = "Exploring the Efficiency and Cost Limits of Fractional hp Axial Flux PM Machine Designs",
abstract = "Optimizing the design of electric machines is a vital step in ensuring the economical use of active materials. The three-dimensional flux paths in axial flux PM (AFPM) machines necessitate the use of computationally expensive 3D electromagnetic analysis. Furthermore, a large number of design evaluations is required to find the optimum, causing the total computation time to be excessively long. In view of this, a two-level surrogate assisted algorithm capable of handling such expensive optimization problems is introduced, which substantially reduces the number of FEA evaluations. The proposed algorithm is employed to optimally design an AFPM machine within a specified envelope, identifying the limits of cost and efficiency. Optimized designs with different rotor polarities are systematically compared in order to form the basis for a set of generalized design rules.",
keywords = "Axial flux permanent magnet, Multi-objective, Number of poles, Optimization, SPM, Surrogate assisted",
author = "Narges Taran and Vandana Rallabandi and Greg Heins and Ionel, {Dan M.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 ; Conference date: 23-09-2018 Through 27-09-2018",
year = "2018",
month = dec,
day = "3",
doi = "10.1109/ECCE.2018.8557562",
language = "English",
series = "2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3272--3277",
booktitle = "2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018",
}