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Vehicles, Volume 6, Issue 2

2024 June - 22 articles

Cover Story: This study aims to design and build an excavator with parallel electrical linear actuators and to generate and test PSO-based and PFM-based paths for energy savings, improved digging accuracy, and collision prevention. Computer vision was used for better monitoring and verification. Five experiments were conducted to examine energy conservation in PSO- and PFM-based path generation. The results were compared to highlight the impact of optimal path generation. Comparing the results, PFM-based trajectory generation with integrated contour and PID controllers minimizes error between the designed and excavated profiles. PFM paths also consume less energy than PSO paths. However, integrating contour and PID controllers increases energy use compared to PID alone due to enhanced precision and combined control efforts. View this paper
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Articles (22)

  • Article
  • Open Access
3,349 Views
19 Pages

19 June 2024

In response to the EU’s stringent zero-carbon emission standards for 2035 and global initiatives to phase out fossil-fuel-powered vehicles, there is an urgent need for innovative solutions in vehicle propulsion systems. While much of the curren...

  • Article
  • Open Access
1 Citations
2,403 Views
24 Pages

16 June 2024

A conceptual study was performed on intelligent driving acceleration strategies for vehicles equipped with internal combustion engines. Two archetypal acceleration scenarios of highway driving and urban driving were prescribed. Three trajectories wer...

  • Article
  • Open Access
2 Citations
2,378 Views
17 Pages

Simulation of Automobile Structural Member Deformation and Crash via Isogeometric Analysis

  • Yuta Yokoyama,
  • Kei Nagasaka,
  • Idemitsu Masuda,
  • Hirofumi Sugiyama and
  • Shigenobu Okazawa

15 June 2024

We conducted an isogeometric analysis (IGA) to evaluate the performance of automobile structural member deformation and crash. In automobile crash analysis, ensuring the accuracy of the acceleration, velocity, and load in time series, as well as the...

  • Article
  • Open Access
3 Citations
2,907 Views
18 Pages

31 May 2024

This study aims to improve the battery performance in hybrid electric vehicles (HEVs) by reducing the vehicle speed. We developed a specific protocol for managing battery use and optimizing the energy consumption rate to achieve this goal. The protoc...

  • Article
  • Open Access
3 Citations
6,115 Views
29 Pages

Evaluation of SiL Testing Potential—Shifting from HiL by Identifying Compatible Requirements with vECUs

  • Rudolf Keil,
  • Jan Alexander Tschorn,
  • Johannes Tümler and
  • Mehmet Ercan Altinsoy

29 May 2024

Due to the increasing complexity of vehicle software, it is becoming increasingly difficult to comprehensively test all requirements. This inevitably means that alternative test methods, e.g., simulation-based methods, must be used more frequently. H...

  • Article
  • Open Access
1 Citations
1,992 Views
25 Pages

29 May 2024

The direct torque control (DTC) strategy was proposed more than 25 years ago. It is one of the most successful and reliable techniques for AC motors. This paper presents the application of DTC using a four-switch inverter, as one of the non-conventio...

  • Article
  • Open Access
4 Citations
2,082 Views
21 Pages

Application of Continuous Stability Control to a Lightweight Solar-Electric Vehicle Using SMC and MPC

  • Anna Lidfors Lindqvist,
  • Shilei Zhou,
  • Benjamin Halkon,
  • Ricardo P. Aguilera and
  • Paul D. Walker

28 May 2024

This paper investigates the application of contusion stability yaw control of a lightweight solar-electric vehicle. The vehicle’s customized design envelope makes it more sensitive to variations in load due to its low weight and relatively larg...

  • Article
  • Open Access
3 Citations
2,647 Views
24 Pages

25 May 2024

In this work, a new plastic-intensive medium-pressure plate (MPP), which is part of a fuel-cell system, has been developed together with a steel plate meeting all mechanical and chemical requirements. This newly developed MPP had to achieve the objec...

  • Article
  • Open Access
3 Citations
2,720 Views
18 Pages

9 May 2024

This study’s goals are divided into two categories. The first is to design and build an excavator equipped with parallel electrical linear actuators. The second is to generate and test a PSO-based and a PFM-based path for this excavator in orde...

  • Article
  • Open Access
2,408 Views
18 Pages

4 May 2024

This paper deals with the phenomenon of torsion oscillations in railway vehicle drive systems. The main goal is to reduce the risk of presence of torsional oscillations in wheelset drive, eventually to propose systems to effectively identify and elim...

  • Article
  • Open Access
11 Citations
2,618 Views
15 Pages

Random Forest-Based Grouping for Accurate SOH Estimation in Second-Life Batteries

  • Joelton Deonei Gotz,
  • José Rodolfo Galvão,
  • Fernanda Cristina Corrêa,
  • Alceu André Badin,
  • Hugo Valadares Siqueira,
  • Emilson Ribeiro Viana,
  • Attilio Converti and
  • Milton Borsato

30 April 2024

Retired batteries pose a significant current and future challenge for electric mobility due to their high cost and the need for a state of health (SOH) above 80% to supply energy efficiently. Recycling and alternative applications are the primary opt...

  • Article
  • Open Access
10 Citations
4,847 Views
18 Pages

Sim-to-Real Application of Reinforcement Learning Agents for Autonomous, Real Vehicle Drifting

  • Szilárd Hunor Tóth,
  • Zsolt János Viharos,
  • Ádám Bárdos and
  • Zsolt Szalay

30 April 2024

Enhancing the safety of passengers by venturing beyond the limits of a human driver is one of the main ideas behind autonomous vehicles. While drifting is mostly witnessed in motorsports as an advanced driving technique, it could provide many possibi...

  • Feature Paper
  • Article
  • Open Access
4 Citations
2,434 Views
16 Pages

Mixed Learning- and Model-Based Mass Estimation of Heavy Vehicles

  • Abdurrahman İşbitirici,
  • Laura Giarré and
  • Paolo Falcone

30 April 2024

This research utilized long short-term memory (LSTM) to oversee an RLS-based mass estimator based on longitudinal vehicle dynamics for heavy-duty vehicles (HDVs) instead of using the predefined rules. A multilayer LSTM network that analyzed parameter...

  • Article
  • Open Access
2 Citations
2,839 Views
18 Pages

Using Probe Counts to Provide High-Resolution Detector Data for a Microscopic Traffic Simulation

  • Tobias Veihelmann,
  • Victor Shatov,
  • Maximilian Lübke and
  • Norman Franchi

28 April 2024

Microscopic traffic simulations have become increasingly important for research targeting connected vehicles. They are especially appreciated for enabling investigations targeting large areas, which would be practically impossible or too expensive in...

  • Article
  • Open Access
6 Citations
4,325 Views
19 Pages

Meta-Feature-Based Traffic Accident Risk Prediction: A Novel Approach to Forecasting Severity and Incidence

  • Wei Sun,
  • Lili Nurliynana Abdullah,
  • Puteri Suhaiza Sulaiman and
  • Fatimah Khalid

25 April 2024

This study aims to improve the accuracy of predicting the severity of traffic accidents by developing an innovative traffic accident risk prediction model—StackTrafficRiskPrediction. The model combines multidimensional data analysis including e...

  • Article
  • Open Access
2 Citations
3,178 Views
17 Pages

19 April 2024

In the context of autonomous driving, the fusion of LiDAR and camera sensors is essential for robust obstacle detection and distance estimation. However, accurately estimating the transformation matrix between cost-effective low-resolution LiDAR and...

  • Article
  • Open Access
6 Citations
4,298 Views
18 Pages

11 April 2024

The introduction of connected automated vehicles (CAVs) on freeways raises significant challenges, particularly in interactions with human-driven vehicles, impacting traffic flow and safety. This study employs traffic microsimulation and surrogate sa...

  • Article
  • Open Access
15 Citations
3,775 Views
27 Pages

Enhancing Urban Intersection Efficiency: Utilizing Visible Light Communication and Learning-Driven Control for Improved Traffic Signal Performance

  • Manuela Vieira,
  • Manuel Augusto Vieira,
  • Gonçalo Galvão,
  • Paula Louro,
  • Mário Véstias and
  • Pedro Vieira

4 April 2024

This paper introduces an approach to enhance the efficiency of urban intersections by integrating Visible Light Communication (VLC) into a multi-intersection traffic control system. The main objectives include the reduction in waiting times for vehic...

  • Article
  • Open Access
15 Citations
5,248 Views
15 Pages

31 March 2024

Rolling stock manufacturers are finding innovative structural solutions to improve the quality and reliability of railway vehicles components. Structural optimization processes represent an effective strategy for reducing manufacturing costs, resulti...

  • Article
  • Open Access
3 Citations
4,973 Views
19 Pages

Evaluation of the Energy Equivalent Speed of Car Damage Using a Finite Element Model

  • Paweł Droździel,
  • Tomas Pasaulis,
  • Robertas Pečeliūnas and
  • Saugirdas Pukalskas

30 March 2024

To determine the speed of a vehicle in a collision with body deformation, the kinetic energy input of the vehicle to cause body damage must be estimated. This paper analyzes the methods for estimating the energy equivalent of vehicle damage. A finite...

  • Article
  • Open Access
13 Citations
2,913 Views
21 Pages

29 March 2024

The method of improving a two-section mainline diesel locomotive by using energy storage in the traction system is considered. A mathematical model was developed to study the movement of a diesel locomotive based on the recommendations and provisions...

  • Article
  • Open Access
2 Citations
2,713 Views
21 Pages

Computing Safe Stop Trajectories for Autonomous Driving Utilizing Clustering and Parametric Optimization

  • Johannes Langhorst,
  • Kai Wah Chan,
  • Christian Meerpohl and
  • Christof Büskens

24 March 2024

In the realm of autonomous driving, ensuring a secure halt is imperative across diverse scenarios, ranging from routine stops at traffic lights to critical situations involving detected system boundaries of crucial modules. This article presents a no...

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Vehicles - ISSN 2624-8921