Marton Jagicza

58494090400

Publications - 5

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

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

Vehicle in the Loop Testing of Traffic Sign Recognition Systems †

David Jozsa Marton Jagicza Richárd Peszleg

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Modern passenger vehicles can indicate the speed limit for a given road section using GPS, cameras, or both. Sign recognition systems must comply with specified testing procedures before operation. Our goal is to create a cost-effective lab environment for vehicle-level tests of these systems. Image recognition can be tested with various traffic signs in a simulation video placed in front of the vehicle’s camera while it runs on a chassis dyno. We tested this environment with factory-built systems, displaying recognized signs on the dashboard. The simulation software allows unlimited signs, eliminating the need for long-distance driving or extensive test track setups. While the lab environment does not replace final public road testing, it is a cost-effective solution for the development and testing of traffic sign recognition systems.

Open Access: Yes

DOI: 10.3390/engproc2024079074

Measurement of Pedestrian Targets in Terms of Radar Cross Section

David Jozsa Leticia Pekk Marton Jagicza Gabor Laszlo Toth Denes Fodor

Publication Name: Saci 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 363-368

Description:

In terms of vehicle radars, the most important properties of targets are speed, distance, and radar cross section. Based on the Radar Cross Section (RCS), the type of the object can be identified with a good approximation: pedestrian, bicycle, car, truck even in extreme weather conditions. A radar cross section measures the reflectivity of an object and its numerical value is equal to the area of the cross section of a conducting sphere with the same reflectivity. Its value depends on the material and shape of the object, the angle of illumination, and the ratio between the wavelength and the size of the object. The article presents a measurement system for radar targets, the main component of which is an automotive radar. In addition, the evaluation software for the measurement system, which was created in the MATLAB / SIMULINK environment, will be presented. The measurement system was used to perform various measurements on the ZalaZONE Automotive Proving Ground (Zalaegerszeg, HUNGARY), the evaluation of which will be presented. The purpose of the measurements is to collect information about the radar cross-section values of pedestrians at different distances from the vehicle and dummies simulating them. A comparison of different pedestrians is presented. After that, we will show how even if a puppet is formally similar to a pedestrian, the RCS can show a different value.

Open Access: Yes

DOI: 10.1109/SACI58269.2023.10158601