电机多学科设计自动化——系统文献综述和方法框架
Energies
(
IF
2.702
)
Pub Date : 2023-10-12
, DOI:
10.3390/en16207070
Niklas Umland
1
,
Kora Winkler
1
,
David Inkermann
2
Affiliation
Fraunhofer Institute for Manufacturing Technology and Advanced Materials IFAM, Wiener Straße 12, 28359 Bremen, Germany
Institute for Mechanical Engineering, Technische Universität Clausthal, Robert-Koch-Straße 32, 38678 Clausthal-Zellerfeld, Germany
电动机开发是一项具有挑战性的任务，因为必须考虑更高的效率要求和不同工程领域之间的各种相互依赖性。现有的设计方法通常缺乏解决这些相互依赖性的能力，因为它们专注于特定的领域和属性。自动化、多学科的设计方法在根据不同的要求优化电机以及推动更高效、更可靠的电机的开发方面具有尚未开发的潜力。本文对电机多学科设计自动化的研究现状进行了系统的文献综述。文献基础包括通过系统互联网搜索确定的 1005 篇出版物。对现有方法的审查基于十二个标准，这些标准总体上表征了设计自动化任务，例如所使用的知识表示或推理方法，以及特定于电动机设计的标准，例如考虑的领域及其耦合。该分析揭示了当前方法所缺乏的内容：领域的后续分析和集成、建议方法的适用性、已建立的多学科设计优化 (MDO) 架构的结合，以及电机中无源元件的考虑。除了介绍电机多学科设计自动化的系统表征的十二个标准之外，本文还通过提出一个初步框架来建立流程链来解决审查中发现的差距，从而扩展了现有技术。
Multidisciplinary Design Automation of Electric Motors—Systematic Literature Review and Methodological Framework
Electric motor development is a challenging task, as higher efficiency requirements and various interdependencies between different engineering domains must be considered. Established design approaches often lack the ability to address these interdependencies because they focus on specific domains and properties. Automated, multidisciplinary design approaches hold untapped potential for optimizing motors in terms of diverse requirements and advancing the development of more efficient and reliable motors. This paper presents a systematic literature review of the current state of research in the multidisciplinary design automation of electric motors. The literature basis comprises 1005 publications that are identified by a systematic internet search. The review of the existing approaches is based on twelve criteria that characterize the design automation task in general, such as knowledge representation or reasoning methods used, as well as criteria specific to electric motor design, such as domains considered and their coupling. The analysis reveals what current approaches are lacking: Consequent analysis and integration of domains, applicability of suggested methods, incorporation of established multidisciplinary design optimization (MDO) architectures, alongside the consideration of passive components in the motor. Aside from the introduction of twelve criteria for systematic charaterization of multidisciplinary design automation of electric motors, this article expands the state of the art by proposing an initial framework to establish process chains tackling the identified gaps in the review.
