The new V-Model of VDI 2206 and its validation

Graessler, Iris; Hentze, Julian

doi:10.1515/auto-2020-0015

Cited by 65 publications

(17 citation statements)

References 13 publications

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“…An essential aspect of tire modeling within the development of the drive control of an electrically propelled bicycle trailer is made clear by integration into the V-model. At oresent, most product development processes generally follow the principles of modelbased systems engineering (compare, e.g., VDI 2206 [25,26]). This means that models continuously accompany the entire processes and are used for simulation for verification and validation purposes.…”

Section: Discussionmentioning

confidence: 99%

Measurement and Modeling of a Cargo Bicycle Tire for Vehicle Dynamics Simulation

et al. 2023

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In the field of inner-city cargo transportation, solutions such as electrified cargo trailers are increasingly being used. To provide an intelligent drivetrain control system that improves driving dynamics and enables safety, it is necessary to know the characteristics of the trailer system. This includes the behavior of the tires. Existing investigations of bicycle tires focus on camber-angle-dependent models. However, in most trailers, a rigid mounting of the tires without camber is used. For this reason, a bicycle tire model is created within the scope of this study using real measurement data that represent a 20 in tire with typical wheel loads and without camber. The measurements were collected with the mobile tire measurement laboratory of the Bern University of Applied Sciences on an asphalt test site under real conditions. Crosstalk occurring in the measurement hub during the data collection was successfully corrected using a matrix method. With help of the so-called Magic Formula, a tire model was created that can be used for driving dynamics simulations and controller design.

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Section: Discussionmentioning

confidence: 99%

Measurement and Modeling of a Cargo Bicycle Tire for Vehicle Dynamics Simulation

et al. 2023

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“…Figure 1 provides a birds-eye view of the proposed integration. Several methodologies exist in literature and practice that define the development lifecycle, such as V-method [16], Waterfall [33], and Agile [32], to name a few. Most of these methodologies include the three phases: design, implementation, and testing phases, in an iterative manner and are depicted in Figure 2.…”

Section: Formal Fault Injectionmentioning

confidence: 99%

Towards Formal Fault Injection for Safety Assessment of Automated Systems

Farooqui,

Sangchoolie

2023

Electron. Proc. Theor. Comput. Sci.

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Reasoning about safety, security, and other dependability attributes of autonomous systems is a challenge that needs to be addressed before the adoption of such systems in day-to-day life. Formal methods is a class of methods that mathematically reason about a system's behavior. Thus, a correctness proof is sufficient to conclude the system's dependability. However, these methods are usually applied to abstract models of the system, which might not fully represent the actual system. Fault injection, on the other hand, is a testing method to evaluate the dependability of systems. However, the amount of testing required to evaluate the system is rather large and often a problem. This vision paper introduces formal fault injection, a fusion of these two techniques throughout the development lifecycle to enhance the dependability of autonomous systems. We advocate for a more cohesive approach by identifying five areas of mutual support between formal methods and fault injection. By forging stronger ties between the two fields, we pave the way for developing safe and dependable autonomous systems. This paper delves into the integration's potential and outlines future research avenues, addressing open challenges along the way.

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“…This guideline basically offers the user support for all tasks in the development of cyber-physical mechatronic systems by presenting the main logical relationships. The core content of the guideline is an inherent flow logic for the development of mechatronic and cyber-physical systems; this is represented as an updated and extended Vmodel [3]. The central objective of the revision of the guideline is to adapt to greatly changed industrial environments; these changes result from the general trend towards cyber-physical systems, the increasing use of artificial intelligence and the analysis of large amounts of data, as well as further improved computer-aided synthesis and analysis methods.…”

Section: Design Simulation and Optimization Processesmentioning

confidence: 99%

Design, Simulation and Optimization of an Electrical Drive-Train

Schumacher

Schmid²,

Wieser³

et al. 2021

Vehicles

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Today, design engineers engaged in the development of a high-performance electrical drive-train are challenged by the multitude of possible topological choices and numerous mutually interconnected physical phenomena. Development teams around the globe struggle with this challenge; usually they employ several tools for simulation and topology optimization and transfer multiple versions of their product models in a mainly manual process. The research presented in this paper aims to explore a holistic possibility to realize a sensible analysis-synthesis cycle that takes into consideration current developments in design, simulation and optimization processes. This kind of process can enhance the transparency of design decisions, can reduce the risk of design and process flaws and can support the approach toward a holistic optimum. The investigation starts with the development of the topological concept of the drive-train and continues over the interconnected simulation of several decisive properties of the drive-train. Obviously, these properties concern several domains (mechanical, electrical, thermal and the control domain). The optimization of the drive-train takes into consideration the main requirement—in the investigated example, which is a formula student drive-train—the lap time. The result is a holistic concept for a design, simulation and optimization approach that considers topological variety, interconnected multi-domain simulation and a continuous connection to the decisive requirements.

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The new V-Model of VDI 2206 and its validation

Cited by 65 publications

References 13 publications

Measurement and Modeling of a Cargo Bicycle Tire for Vehicle Dynamics Simulation

Measurement and Modeling of a Cargo Bicycle Tire for Vehicle Dynamics Simulation

Towards Formal Fault Injection for Safety Assessment of Automated Systems

Design, Simulation and Optimization of an Electrical Drive-Train

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