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Vehicles, Volume 7, Issue 1

March 2025 - 27 articles

Cover Story: Shorter product life cycles and increased demand for customization are creating new challenges for assembly planning. The complexity of systems is increasing due to the growing number of variants, while development time is decreasing due to shorter cycles. One potential solution to this problem is an automated design process using graph-based design languages. For this purpose, an ontology with high semantics was developed and a design architecture that can generate a system suitable for assembly from the product model using model-to-model transformations. In this approach, a graph is used as the central data model. The advantage of this approach is the reduction in development time and the consolidation of all information in a central data model. View this paper
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Articles (27)

  • Article
  • Open Access
2 Citations
2,578 Views
20 Pages

Changing Fuel Consumption Data in Official Vehicle Documents—Case Study in the Slovak Republic

  • Branislav Šarkan,
  • Michal Loman,
  • Jacek Caban,
  • Arkadiusz Malek,
  • Michal Richtář and
  • Mária Stopková

This article deals with the technical and official possibilities of changing the official data on vehicle fuel consumption in the Slovak Republic. This case study analyzes various methods of measuring fuel consumption, including the use of a fuel flo...

  • Article
  • Open Access
1 Citations
1,303 Views
35 Pages

Degraded shock absorbers have a negative effect on the safety critical driving dynamics of passenger cars. Oil and gas loss due to leaks at the shock absorber seals are the most common degradation mechanisms of vehicle shock absorbers. This paper pre...

  • Article
  • Open Access
1 Citations
1,493 Views
14 Pages

Impact of Front Brake Lights from a Pedestrian Perspective

  • Miloš Poliak,
  • Jaroslav Frnda,
  • Kristián Čulík and
  • Bernhard Kirschbaum

This paper analyses the impact of a front brake light (FBL) on road safety from a pedestrian perspective. In addition to the traditional brake lights mounted at the rear of vehicles, an FBL can provide extra information about the driver’s inten...

  • Review
  • Open Access
12 Citations
5,715 Views
17 Pages

Revolutionizing Automotive Design: The Impact of Additive Manufacturing

  • Anis Hamza,
  • Kamel Bousnina,
  • Issam Dridi and
  • Noureddine Ben Yahia

Design for Additive Manufacturing (DfAM) encompasses two primary strategies: adapting traditional designs for 3D printing and developing designs specifically optimized for additive manufacturing. The latter emphasizes consolidating assemblies and red...

  • Article
  • Open Access
1,089 Views
24 Pages

ML-Based Control Strategy for PHEV Under Predictive Vehicle Usage Behaviour

  • Aleksandr Doikin,
  • Aleksandr Korsunovs,
  • Felician Campean,
  • Oscar García-Afonso and
  • Enrico Agostinelli

25 February 2025

This paper introduces a novel strategy for an intelligent plug-in hybrid electric vehicle (PHEV) energy optimization strategy based on machine learning (ML) prediction of the upcoming journey, without recourse to navigation or other external data, wh...

  • Article
  • Open Access
1 Citations
1,632 Views
18 Pages

25 February 2025

The current product and assembly processes of system development in the vehicle industry are characterised by a multitude of different model formats, a relatively low level of data integration, and an unsatisfactory management of information. This ar...

  • Article
  • Open Access
3,308 Views
22 Pages

EV Battery Degradation Assessment Under Standard Drive Cycles Using Simulated EIS

  • Akila E. Jayasinghe,
  • Nuwantha Fernando,
  • Sisil Kumarawadu,
  • Liuping Wang and
  • J. P. Karunadasa

19 February 2025

Lithium-ion batteries (LIBs) play a critical role in electric vehicles (EVs) and hybrid electric vehicles (HEVs) and degradation of LIBs influences lifetime, reliability, safety and dependability. The ability to assess and quantify degradation enable...

  • Article
  • Open Access
2 Citations
1,359 Views
19 Pages

Comparison of Machine Learning Models to Predict Nighttime Crash Severity: A Case Study in Tyler, Texas, USA

  • Raja Daoud,
  • Matthew Vechione,
  • Okan Gurbuz,
  • Prabha Sundaravadivel and
  • Chi Tian

18 February 2025

Driving at night is riskier in terms of crash involvement than it is during the day. Fortunately, it is clearly established that illumination on roadways can reduce the number and severity of nighttime crashes. However, state and municipal department...

  • Article
  • Open Access
7 Citations
1,927 Views
24 Pages

16 February 2025

The electrified environments encountered in electric vehicles (EVs) in terms of parasitic currents present significant challenges for the performance of EV bearings and their lubricants. This study investigates the effectiveness of various concentrat...

  • Article
  • Open Access
1,676 Views
19 Pages

Research on the Dynamic Response Characteristics of a Railway Vehicle Under Curved Braking Conditions

  • Chunguang Zhao,
  • Zhiyong Fan,
  • Peixuan Li,
  • Micheale Yihdego Gebreyohanes,
  • Zhiwei Wang and
  • Jiliang Mo

15 February 2025

When a railway train runs along a curved track with braking, the dynamic behaviors of the vehicle are extremely complex and difficult to accurately reveal due to the coupling effects between the wheel–rail interactions and the disc–pad fr...

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Vehicles - ISSN 2624-8921