A model‐based systems engineering framework for quantum dot solar cells development

IF 1.6 3区工程技术 Q4 ENGINEERING, INDUSTRIAL

Systems Engineering Pub Date : 2023-01-11 DOI:10.1002/sys.21655

M. Karimaghaei, R. Cloutier, Aurangzeb Khan, J. Richardson, A. Phan

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引用次数: 0

Abstract

Currently, a wide range of newly designed devices are based on high‐end quantum technologies. To successfully design a quantum system, it is necessary to appropriately address the increasing complexity which exists in the development procedure of the system. A suitable approach to deal with this problem is to employ systems engineering models and integrate them with domain engineering tools. The model‐based systems engineering (MBSE) methodology is commonly used to analyze, design, manufacture, and test various complex systems. In this paper, the MBSE approach is chosen for the development of quantum dot solar cells as a typical quantum system and to deal with the complexity existing in this procedure. The analysis, manufacturing, and verification, validation, and testing (VV&T) for this system are described using SysML in Cameo Systems Modeler software to represent the role of models in this regard. Then a detailed design is performed in MATLAB and integrated with SysML to identify how changing various parameters during the system development process affects the overall system performance. This technique facilitates the communication between different engineering teams and helps to manage the complexity in the entire system lifecycle.

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基于模型的量子点太阳能电池开发系统工程框架

目前，许多新设计的器件都是基于高端量子技术。为了成功地设计量子系统，有必要适当地解决系统开发过程中日益复杂的问题。处理这个问题的合适方法是使用系统工程模型，并将它们与领域工程工具集成。基于模型的系统工程（MBSE）方法通常用于分析、设计、制造和测试各种复杂系统。本文选择MBSE方法来开发量子点太阳能电池作为一个典型的量子系统，并处理该过程中存在的复杂性。使用Cameo Systems Modeler软件中的SysML描述了该系统的分析、制造、验证、验证和测试（VV&T），以表示模型在这方面的作用。然后在MATLAB中进行详细设计，并与SysML集成，以确定系统开发过程中各种参数的变化如何影响系统的整体性能。这种技术有助于不同工程团队之间的沟通，并有助于管理整个系统生命周期中的复杂性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Systems Engineering 工程技术-工程：工业

CiteScore

5.10

自引率

20.00%

发文量

审稿时长

6 months

期刊介绍： Systems Engineering is a discipline whose responsibility it is to create and operate technologically enabled systems that satisfy stakeholder needs throughout their life cycle. Systems engineers reduce ambiguity by clearly defining stakeholder needs and customer requirements, they focus creativity by developing a system’s architecture and design and they manage the system’s complexity over time. Considerations taken into account by systems engineers include, among others, quality, cost and schedule, risk and opportunity under uncertainty, manufacturing and realization, performance and safety during operations, training and support, as well as disposal and recycling at the end of life. The journal welcomes original submissions in the field of Systems Engineering as defined above, but also encourages contributions that take an even broader perspective including the design and operation of systems-of-systems, the application of Systems Engineering to enterprises and complex socio-technical systems, the identification, selection and development of systems engineers as well as the evolution of systems and systems-of-systems over their entire lifecycle. Systems Engineering integrates all the disciplines and specialty groups into a coordinated team effort forming a structured development process that proceeds from concept to realization to operation. Increasingly important topics in Systems Engineering include the role of executable languages and models of systems, the concurrent use of physical and virtual prototyping, as well as the deployment of agile processes. Systems Engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets the user needs. Systems Engineering may be applied not only to products and services in the private sector but also to public infrastructures and socio-technical systems whose precise boundaries are often challenging to define.