Balázs Baráth

59426599000

Publications - 7

Emission analysis of liquefied natural gas and diesel heavy-duty trucks using on-board monitoring method

Gergő Sütheö Marton Jagicza Balázs Baráth

Publication Name: Journal of Ecological Engineering

Publication Date: 2025-01-01

Volume: 26

Issue: 2

Page Range: 258-271

Description:

Environmental protection and the reduction of greenhouse gas (GHG) emissions are becoming top priorities in the mobility sector especially in heavy-duty truck (HDT) sector. In recent years, numerous regulations, targets, and initiatives have been introduced, all of which strongly promote the reduction of carbon-dioxide (CO2) emissions, the adoption of eco-friendly alternatives, and the use of renewable energy sources. The study compares CO2 emissions and fuel consumption between conventional diesel and liquefied natural gas (LNG) heavy-duty vehicles (HDVs) from the same original equipment manufacturer (OEM). The research was conducted on multiple levels, with a primary focus on control based on test track measurements. This was preceded by a simulation phase and followed by public road measurement-based validation process. In this study, we used the onboard monitoring (OBM) emission analysis method, a cost-effective and accurate process where data was recorded from the fleet management system (FMS) using controller area network (CAN) messages. The results are presented in several stages from simulation to data validation. Our research represents a unique study in the field of HDVs, as the measurements were conducted on a test track, supported by simulations and public road tests. The results of the project clearly demonstrate that gas technology can contribute to reducing GHG emissions in HDVs, and LNG provides a reliable alternative for long-distance transportation.

Open Access: Yes

DOI: 10.12911/22998993/195574

The development and application of a global positioning system – based monitoring system for soil stabilization vehicles

András Háry Balázs Baráth Norbert Simon

Publication Name: Journal of Ecological Engineering

Publication Date: 2025-01-01

Volume: 26

Issue: 3

Page Range: 1-7

Description:

The accuracy and efficiency of soil stabilization works are key to ensuring the durability of roads. During the conducted research, a GPS-based (global positioning system) tracking system was developed that can monitor the movement of soil stabilization vehicles in real time, recording the exact location and working width of the stabilized road sections. The system’s software solutions enable the conversion of location coordinates from the WGS84 (World Geodetic System) system to EOV (EOV as Uniform National Projection system) format and visualization of the results in AutoCAD. The developed tool can significantly contribute to the improvement of the quality control of soil stabilization works, as the development of road defects resulting from stabilization errors can be reduced with the help of documentation and visualization. During the testing of this system, the development proved to be successful and provides an opportunity to perform soil stabilization processes more efficiently and reliably, thereby improving the service life of road surfaces and traffic safety.

Open Access: Yes

DOI: 10.12911/22998993/195916

Development of a Battery Diagnostic Method Based on CAN Data: Examining the Accuracy of Data Received via a Communication Network

Gergő Sütheö Leticia Pekk Balázs Baráth

Publication Name: Energies

Publication Date: 2024-11-01

Volume: 17

Issue: 22

Page Range: Unknown

Description:

In order to reduce the emissions caused by internal combustion engine vehicles, the industry is introducing more and more electric or hybrid vehicles to the market nowadays. The battery cells and modules of these vehicles require a lot of care, as improper or improperly maintained battery units can cause serious problems inside vehicles and can be extremely dangerous. The safest solution is to keep this unit of a vehicle under constant supervision so that it can be repaired immediately in case of an issue. Since all necessary data can be extracted from a vehicle’s communication network(s) through standard communication protocols, it is advisable to use them for continuous monitoring and diagnostics of units, while also considering cost-effectiveness and simplicity. The data received from here can also be used for measurement of electric powertrains and other parameters. However, since these data go through many conversions and computers (ECUs) before reaching us, their accuracy is questionable. In this study, we present our own custom battery diagnostic tool based on data extracted from a communication network. With the help of commercially available diagnostic tools, we also compare several measurements of the extent of the error limits of the data arriving at the communication network, how far they differ from the real values, and with the help of these, we analyze the accuracy of the device we have made. We present the commonly used Controller Area Network (CAN) communication protocol for passenger vehicles and briefly describe the construction of the high-voltage battery unit of the test vehicle.

Open Access: Yes

DOI: 10.3390/en17225808

Development of a Diagnostic Procedure for Vehicle’s Built-in Electric Motors †

David Jozsa Marton Jagicza Gabor Laszlo Toth Balázs Baráth

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Electric and hybrid vehicles, similarly to combustion engine ones, can experience malfunctions, yet preventive diagnostics for their electric motors are underdeveloped. While many methods exist for testing electric motors in heavy industry, they are not commonly applied in the vehicle industry. Our study aims to develop a real-time, non-invasive fault detection procedure for electric motors in these vehicles. Previous research has focused on simulations, but our work involves real measurements conducted in a controlled laboratory using a two-axle chassis dyno. We present the hybrid vehicle’s drivetrain, our equipment, and the feasibility of simulated methods, and we also detail the evaluation method used.

Open Access: Yes

DOI: 10.3390/engproc2024079004

Examination of the Load’s Effect on Fuel Consumption and CO2 Emissions, in the Case of a Diesel and LNG Powered Tractor †

Gergő Sütheö Marton Jagicza Gabor Laszlo Toth Balázs Baráth

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This study compares the environmental impacts of diesel and LNG-powered tractors under varying loads, by utilizing a cost-effective measurement system on the ZalaZONE Proving Ground. The same test cycles and scenarios were conducted with both trucks simultaneously on the closed test track modules and the research highlights LNG’s advantages in reducing CO2 emissions, particularly under lower load conditions. This innovative approach, based on the fuel consumption rather than expensive exhaust gas analyzers, underscores LNG’s potential in meeting EU emission targets. The results support LNG as a competitive and sustainable alternative to diesel, promoting greener freight transport solutions for the future.

Open Access: Yes

DOI: 10.3390/engproc2024079017

Determination of the Centre of Gravity of Electric Vehicles Using a Static Axle-Load Method

David Jozsa Balázs Baráth

Publication Name: Future Transportation

Publication Date: 2026-02-01

Volume: 6

Issue: 1

Page Range: Unknown

Description:

Accurate determination of a vehicle’s centre of gravity (CoG) is fundamental to driving dynamics, safety, and engineering design. However, existing static CoG estimation methods often neglect tyre deflection and detailed wheel geometry, which can introduce significant errors, particularly in electric vehicles, where the low and concentrated mass of the battery pack increases the sensitivity of vertical CoG calculations. This study presents a refined static axle-load-based method for electric vehicles, in which the influence of tyre deformation and lifting height on the accuracy of the vertical centre of gravity coordinate is explicitly considered and quantitatively justified. To minimise human error and accelerate the evaluation process, a custom-developed Python (Python 3.13.2.) software tool automates all calculations, provides an intuitive graphical interface, and generates visual representations of the resulting CoG position. The methodology was validated on a Volkswagen e-Golf, demonstrating that the proposed approach provides reliable and repeatable results. Due to its accuracy, reduced measurement complexity, and minimal equipment requirements, the method is suitable for design, educational, and diagnostic applications. Moreover, it enables faster and more precise preparation of vehicle dynamics tests, such as rollover assessments, by ensuring that sensor placement does not interfere with vehicle behaviour.

Open Access: Yes

DOI: 10.3390/futuretransp6010022

The Effect of Poor Road Surfaces on Vehicle Suspension Geometry and the Misalignment of Setup Parameters

Balázs Baráth

Publication Name: International Journal of Automotive Science and Technology

Publication Date: 2025-12-17

Volume: 9

Issue: 1st Future of Vehicles Conf.

Page Range: 28-34

Description:

The continuous deterioration of public road surfaces significantly damages vehicle suspension systems, adversely impacting driving safety and controllability. This study aims to experimentally investigate the changes in suspension alignment parameters caused by poor road conditions. Measurements were carried out using a Volkswagen e-Golf test vehicle on road sections of varying surface quality, employing NVH (Noise, Vibration, Harshness) sensors to capture the dynamic forces acting on the suspension and the resulting geometric displacements. The research provides a detailed overview of fundamental suspension alignment concepts, different suspension types and their adjustment capabilities, as well as the measurement equipment and methodologies applied. Based on the collected data, the effects of different road surface qualities on suspension parameters were compared, and the vehicle’s dynamic behaviour was evaluated. The results clearly demonstrate the correlation between surface-induced suspension geometry distortions and changes in driving stability. These findings highlight the importance of regular suspension inspections to maintain vehicle stability and minimize tire wear. Furthermore, the study offers insights that could support the refinement of suspension design guidelines and the development of more effective maintenance strategies. Such improvements could contribute to enhancing road safety, extending vehicle lifespan, and ensuring optimal handling performance under varying road conditions.

Open Access: Yes

DOI: 10.30939/ijastech..1766086