Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 3

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/proceedings2221402

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

The design of energy-efficient electric motor is a complex problem since diverse requirements and competing goals have to be fulfilled simultaneously. Therefore, different approaches to the design optimization of electric motors have been developed, each of them has its own advantages and drawbacks. The characteristics of these approaches were presented in the previous part of this multipart paper. In this paper, the presented approaches will be assessed with respect to the criteria: degrees of freedom, computing time and the required user experience. A conflict of objectives will become apparent. Based on these findings, requirements for a new design optimization method with the aim to solve the conflict of objectives, will be formulated.

【 授权许可】

CC BY