Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 2

Proceedings

Gerling, Dieter¹  Kreisköther, Kai²  Schmelcher, Johannes³  Kampker, Achim⁴  Büning, Max Kleine⁵ 

[1] Author to whom correspondence should be addressed.;Department of Electrical Drives and Actuators, University of Federal Defense Munich,85579 Neubiberg, Germany;Department of Mechanical Engineering, University of Applied Sciences Ravensburg-Weingarten,88250 Weingarten, Germany;Presented at the Economy, Sustainable Development and Energy International Conference (ESDEIC), Edinburgh, Scotland, UK, 25–27 June 2018.;Production Engineering of E-Mobility Components PEM, RWTH Aachen University,52062 Aachen, Germany

关键词: electric motor;    design optimization;    deterministic methods;    stochastic methods;    physical models;    surrogate models;    energy-efficient motors;    boundary conditions;   

DOI  :  10.3390/proceedings2221401

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

Designing energy-efficient electric motor is a task where multiple goals have to be achieved at once. To find the best design possible, different approaches have been developed. In part one of this multipart paper, the characteristics of the design optimization problem and methods to solve them have been presented. Part two will deal with the different types of model descriptions and how the fundamental workflows look like. The third and last paper will evaluate the findings concerning the solution methods of the design optimization problem of electric motors. As a consequence, requirements for a new improved optimization method are deduced and presented.

【 授权许可】

CC BY