A Domain Specific Systems Engineering Framework for modelling Electric Vehicle Architectures

Draxler, Dieter; Neureiter, Christian; Lastro, Goran; Schwartzkopff, Thomas; Boumans, Marcus

doi:10.1109/itec-ap.2019.8903596

Cited by 5 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another approach has been proposed in [44], where authors came up with the idea of switching the use of a domain-specific systems engineering approach from the energy domain to the automotive domain. Consequently, the outcome consists of establishing a new framework, a domain-specific language and a software toolbox, altogether enabling interdisciplinary modelling of electric vehicle architectures.…”

Section: State Of Artmentioning

confidence: 99%

Design of a Customizable Test Bench of an Electric Vehicle Powertrain for Learning Purposes Using Model-Based System Engineering

et al. 2022

View full text Add to dashboard Cite

Nowadays, electric vehicles attract significant attention because of the increasingly stringent exhaust emission policies all over the world. Moreover, with the fast expansion of the sustainable economy, the demand for electric vehicles is expanding. In the recent age, maintenance has seriously hampered the marketing and use of electric automobiles. As a result, the technique for maintaining electric vehicles is regarded as vital since it directly affects the security and availability for the end user and the passengers. Another key aspect of electric mobility is the integration of artificial intelligence in control, diagnostics, and prognostics. Meanwhile, a lot of research efforts are still devoted to developing and innovating electric traction systems, especially for diagnostic and prognostic purposes. Furthermore, topics covering important, current, and sustainability challenges should contain more than theoretical knowledge in high-quality education, particularly in engineering education. The purpose is to bridge the gap between the new technology and the learner’s circumstances through giving practical technical expertise and training in the sphere of overall engineering competences, to avoid non-standard, unskilled maintenance work. This article presents the first phase towards designing and developing a test bench of an electric vehicle’s powertrain used for research, learning and e-learning purposes, employing model-based systems engineering (MBSE) and systems modeling language (SysML) through the CESAM architecting and modeling framework. The aforementioned approach is used on our case study to build and present an operational viewpoint layout of the control, energy management, diagnostic, and prognostic test bench as part of the system’s initial phase of designing the system; the test bench layout proposed in this paper represents a flexible, low-cost, multidisciplinary downsized laboratory providing basic experiments related to e-mobility and covering numerous branches and study fields.

show abstract

Section: State Of Artmentioning

confidence: 99%

Design of a Customizable Test Bench of an Electric Vehicle Powertrain for Learning Purposes Using Model-Based System Engineering

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Its concepts are often associated with engineering architecture development, which is a coherent representation of system structure and corresponding behaviour (Promyoo et al, 2019). The applications are found in wide range of field, including unmanned systems (Giles et al, 2019), electric vehicles (Draxler et al, 2019), military technologies (Sarathi et al, 2021) and others. The primary MBSE aim is to define functional and nonfunctional requirements in a way that linkages between functional, logical and physical architecture were traceably across all levels of abstraction (Promyoo et al, 2019).…”

Section: Overview Of Mbse Within Industry 40mentioning

confidence: 99%

Towards a Model-Based Systems Engineering Approach for Robotic Manufacturing Process Modelling with Automatic FMEA Generation

et al. 2022

View full text Add to dashboard Cite

The process of generating FMEA following document-centric approach is tedious and susceptible to human error. This paper presents preliminary methodology for robotic manufacturing process modelling in MBSE environment with a scope of automating multiple steps of the modelling process using ontology. This is followed by the reasoning towards automatic generation of process FMEA from the MBSE model. The proposed methodology allows to establish robust and self-synchronising links between process-relevant information, reduce the likelihood of human error, and scale down time expenses.

show abstract

Towards a Cross-Domain Modeling Approach in System-of-Systems Architectures

Brankovic

Binder

Draxler

et al. 2019

Complex Systems Design &Amp; Management

View full text Add to dashboard Cite

A Domain Specific Systems Engineering Framework for modelling Electric Vehicle Architectures

Cited by 5 publications

References 11 publications

Design of a Customizable Test Bench of an Electric Vehicle Powertrain for Learning Purposes Using Model-Based System Engineering

Design of a Customizable Test Bench of an Electric Vehicle Powertrain for Learning Purposes Using Model-Based System Engineering

Towards a Model-Based Systems Engineering Approach for Robotic Manufacturing Process Modelling with Automatic FMEA Generation

Towards a Cross-Domain Modeling Approach in System-of-Systems Architectures

Contact Info

Product

Resources

About