Robust BLDC motor design optimization including raw material cost variations
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Robust BLDC motor design optimization including raw material cost variations |
| Type de publication | Conference Paper |
| Year of Publication | 2018 |
| Auteurs | Pichot R., Schmerber L., Paire D., Miraoui A. |
| Conference Name | 2018 XIII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM) |
| Publisher | Int Conf Elect Machines Assoc; IEEE Ind Applicat Soc; IEEE Ind Elect Soc; Democritus Univ Thrace, Dept Elect & Comp Engn; Minist Environm & Energy |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5386-2477-7 |
| Mots-clés | BLDC motor design, Cost optimization, Fan motors, Genetic algorithms, multi-objective optimization, Robust optimization |
| Résumé | Motors design optimization using multiobjective genetic algorithms is an efficient method to design motors in the direction of cost effectiveness and high performances. In an industrial context, material, labor and investment costs must be included in the optimization to design an optimal motor regarding the objectives. The obtained Pareto fronts are useful tools to take a decision regarding motor target price or efficiency. Robustness of this design optimization method is the limit of the approach. Especially when highly variable cost materials are used, like rare earth. Here we propose a risk evaluation based on the 10 last years critical material variations. When this risk is included in the optimization, it leads to safer design and helps to take a safe and more robust industrial decision. This robust method is presented on inserted rare earth magnets and surface mounted ferrite magnets designs. |