Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 1

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/proceedings2221400

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

Energy-efficient electric motors are gathering an increased attention since they are used in electric cars or to reduce operational costs, for instance. Due to their high efficiency, permanent-magnet synchronous motors are used progressively more. However, the need to use rare-earth magnets for such high-efficiency motors is problematic not only in regard to the cost but also in socio-political and environmental aspects. Therefore, an increasing effort has to be put in finding the best design possible. The goals to achieve are, among others, to reduce the amount of rare-earth magnet material but also to increase the efficiency. In the first part of this multipart paper, characteristics of optimization problems in engineering and general methods to solve them are presented. In part two, different approaches to the design optimization problem of electric motors are highlighted. The last part will evaluate the different categories of optimization methods with respect to the criteria: degrees of freedom, computing time and the required user experience. As will be seen, there is a conflict of objectives regarding the criteria mentioned above. Requirements, which a new optimization method has to fulfil in order to solve the conflict of objectives will be presented in this last paper.

【 授权许可】

CC BY