Model-based Variant Management in Automotive Systems Engineering

Otten, Stefan; Glock, Thomas; Hohl, Carl Philipp; Sax, Eric

doi:10.1109/isse46696.2019.8984593

Cited by 7 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…EEA plays a crucial role in the design, development, testing, and integration of automotive systems (Otten et al, 2019). Each type of EEA has several advantages and disadvantages.…”

Section: Related Workmentioning

confidence: 99%

Visualizing and analysing data-driven shift from decentralized to centralized automotive E/E architectures

Phadnis,

Feyerabend,

Axmann

2024

Proc. Des. Soc.

View full text Add to dashboard Cite

Decentralized E/E architectures (EEAs) are facing challenges and bottlenecks in implementing new features and technologies. The shift towards centralized EEAs has many challenges and needs to be handled pragmatically by considering concurrency with the existing EEAs. To address the challenges of architectural shift, the paper showcases the quantitative comparison of EEAs and visualizes the flow of shifting sub-function and hardware blocks using the Sankey diagram. The observations from the diagram as a result will support OEMs to analyse and take decisions on the shift while developing EEAs.

show abstract

“…EEA plays a crucial role in the design, development, testing, and integration of automotive systems (Otten et al, 2019). Each type of EEA has several advantages and disadvantages.…”

Section: Related Workmentioning

confidence: 99%

Visualizing and analysing data-driven shift from decentralized to centralized automotive E/E architectures

Phadnis,

Feyerabend,

Axmann

2024

Proc. Des. Soc.

View full text Add to dashboard Cite

show abstract

“…Variant management (e.g. [20]) ameliorates the problem, but still the traditional value chain in the automotive business (OEM/tier-l/tier-2) and thus many stakeholders are a challenge. An efficient Cybersecurity testing methodology therefore needs to support engi neers not only in identifying relevant attacks, test cases and scenarios.…”

Section: Displays An Example Model With Matched Vulnerabilities In Th...mentioning

confidence: 99%

A Model-Driven Methodology for Automotive Cybersecurity Test Case Generation

Marksteiner

Priller

2021

2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

View full text Add to dashboard Cite

Through international regulations (most promi nently the latest UNECE regulation) and standards, the already widely perceived higher need for cybersecurity in automotive systems has been recognized and will mandate higher efforts for cybersecurity engineering. The UNECE also demands the effectiveness of these engineering to be verified and validated through testing. This requires both a significantly higher rate and more comprehensiveness of cybersecurity testing that is not effectively to cope with using current, predominantly manual, automotive cybersecurity testing techniques. To allow for comprehensive and efficient testing at all stages of the automotive life cycle, including supply chain parts not at band, and to facilitate efficient third party testing, as well as to test under real-world conditions, also methodologies for testing the cybersecurity of vehicular systems as a black box are necessary. This paper therefore presents a model and attack tree-based approach to (semi-)automate automotive cybersecurity testing, as well as considerations for automatically black box-deriving models for the use in attack modeling.

show abstract

“…This leads to weight increase, as well as restrictions in the composition of the systems, thus causing an increase in cost and time. Another challenge pushing the decentralized architecture to its limits is the high number of variants [9]. The required combinations of hard-and software determine the complexity of a variant.…”

Section: Introductionmentioning

confidence: 99%

Design of Zonal E/E Architectures in Vehicles Using a Coupled Approach of k-Means Clustering and Dijkstra’s Algorithm

Maier,

Reuss

2023

Energies

View full text Add to dashboard Cite

Electromobility and autonomous driving has started a transformation in the automotive industry, resulting in new requirements for vehicle systems. Due to its functions, the electrical/electronic (E/E) architecture is one of the essential systems. Zonal E/E architecture is a promising approach to tackle this issue. The research presented in this paper describes a methodology for determining the optimal number of zones, the position of the zone control units (ZCU), and the assignment of electric components to these zones and ZCUs. Therefore, the design of the power supply and the wiring harness is essential. This approach aims to identify the most suitable system architecture for a given vehicle geometry and a set of electric components. For this purpose, the assignment of electric components is accomplished by k-means clustering, and Dijkstra’s algorithm is used to optimize the cable routing. As ZCUs will be the hubs for the in-vehicle data and information transport in zonal architectures, their position and their number are crucial for the architecture and wiring harness development. Simulations show a suitable zonal architecture reduces wiring harness length as well as weight and brings functional benefits. However, the number of zones must be chosen with care, as there may also be functional limitations.

show abstract

Model-based Variant Management in Automotive Systems Engineering

Cited by 7 publications

References 20 publications

Visualizing and analysing data-driven shift from decentralized to centralized automotive E/E architectures

Visualizing and analysing data-driven shift from decentralized to centralized automotive E/E architectures

A Model-Driven Methodology for Automotive Cybersecurity Test Case Generation

Design of Zonal E/E Architectures in Vehicles Using a Coupled Approach of k-Means Clustering and Dijkstra’s Algorithm

Contact Info

Product

Resources

About