Ferenc Szauter

6505559342

Publications - 37

Examination of the Resistance Components of an Energy-Efficient Electric Vehicle

Peter Koros Zoltan Pusztai Ferenc Szauter

Publication Name: Journal of Physics Conference Series

Publication Date: 2024-01-01

Volume: 2848

Issue: 1

Page Range: Unknown

Description:

The paper presents a comprehensive examination of measurement-based modelling regarding resistance forces. This work offers a detailed explanation of the experimental techniques employed to measure the resistance forces experienced by a lightweight vehicle. The modelling approach is particularly beneficial for characterizing vehicle with low resistance values. Our investigation encompasses key vehicle motion states, including cornering and straight-line motion, making it greatly useful for optimization purposes. The measurements were conducted in a proving ground and laboratory environment. The road load coefficients can be breakdown into components from total resistance force measurement. Based on breakdown, future vehicle development goals can be addressed with a focus on reducing resistance forces.

Open Access: Yes

DOI: 10.1088/1742-6596/2848/1/012011

Comprehensive Analysis of the Factors Affecting the Energy Efficiency of Electric Vehicles and Methods to Reduce Consumption: A Review †

Szabolcs Kocsis Szurke Gábor Saly Ferenc Szauter

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The increasingly stricter environmental regulations and standards aim to reduce the ecological impact of vehicles and promote the sustainable use of natural resources. Improving the energy efficiency of vehicles has become a priority in recent decades. This is a key issue for vehicle development, production, and operation. Several studies and measurements have been conducted to accurately determine vehicles’ energy consumption. This research has investigated and categorized the factors according to external impacts, losses due to vehicle properties, and the effects of vehicle control and energy reduction methods. A better understanding of these factors is crucial for improving energy efficiency.

Open Access: Yes

DOI: 10.3390/engproc2024079079

Preface: First Sustainable Mobility and Transportation Symposium (SMTS 2024) †

Ferenc Szauter G. Dogossy

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

No description provided

Open Access: Yes

DOI: 10.3390/engproc2024079097

Examining the Expected Impacts of Autonomous Vehicles on Transport, Their Cross-Impacts and the Relationships Between Impacts †

Dániel Csikor Réka Koteczki Ferenc Szauter

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

We have a promising future in improving road safety, which requires a comprehensive assessment of the impact of systems on road transport. Research is timely as we are in a transitional period until the advent of autonomous vehicles. This research has identified the factors that influence the impact of vehicle control algorithms on road transport, depending on technological feasibility, as well as the factors that influence development directions, and then used a questionnaire survey to assess the factors that are most important to society. The correlations between the impacts were analysed and, after identifying the different clusters, this research assessed the opinions of different age groups on the expected impact of self-driving vehicles and the factors influencing their introduction.

Open Access: Yes

DOI: 10.3390/engproc2024079062

Driving Strategy Optimization in Experimental Electric Vehicles: A Study on Optimization Algorithms †

Zoltan Pusztai Ferenc Szauter Ferenc Friedler

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

In this paper, the driving strategy simulations for a single-seat, lightweight, energy-efficient experimental electric vehicle are introduced. The vehicle’s operation is simulated using a developed measurement-based vehicle model in the simulation environment. The optimization was performed for the UniTrack platform at the ZalaZone proving ground using the algorithms Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), with different optimization settings corresponding to varying iterations and initial population/swarm sizes. A 2.95% difference was observed between the least effective and the best PSO results, where both the number of iterations and swarm size were doubled. This demonstrates the effectiveness of PSO in solving the presented driving strategy problem, even when using fewer iterations and a smaller swarm size.

Open Access: Yes

DOI: 10.3390/engproc2024079042

Nonlinear Identification of Lateral Dynamics of an Autonomous Car Vehicle †

Dániel Pup György Istenes Ferenc Szauter J. Bokor

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

In this paper, the nonlinear identification of the lateral dynamics of a road vehicle and the velocity dependence of the dynamics are presented. One of the most useful methods to define the mathematical model is system identification based on measured data. A test vehicle for autonomous driving was constrained to move in a straight line while the vehicle’s steering servo was artificially excited. The input of the system is therefore the sum of the artificial excitation and the control signal of the autonomous function, and the output is the lateral acceleration of the vehicle. The measurements are used to identify Wiener and Hammerstein models of the lateral dynamics at different speeds using nonlinear methods. The aim is to investigate the velocity dependence of the dynamics.

Open Access: Yes

DOI: 10.3390/engproc2024079053

Implementation of Optimized Regenerative Braking in Energy Efficient Driving Strategies

Peter Koros Zoltan Pusztai Ferenc Szauter Ferenc Friedler

Publication Name: Energies

Publication Date: 2023-03-01

Volume: 16

Issue: 6

Page Range: Unknown

Description:

In this paper, determination of optimized regenerative braking-torque function and application in energy efficient driving strategies is presented. The study investigates a lightweight electric vehicle developed for the Shell Eco-Marathon. The measurement-based simulation model was implemented in the MATLAB/Simulink environment and used to establish the optimization. The optimization of braking-torque function was performed to maximize the recuperated energy. The determined braking-torque function was applied in a driving strategy optimization framework. The extended driving strategy optimization model is suitable for energy consumption minimization in a designated track. The driving strategy optimization was created for the TT Circuit Assen, where the 2022 Shell Eco-Marathon competition was hosted. The extended optimization resulted in a 2.97% improvement in energy consumption when compared to the result previously achieved, which shows the feasibility of the proposed methodology and optimization model.

Open Access: Yes

DOI: 10.3390/en16062682

Energy Efficient Drive Management of Lightweight Urban Vehicle

Zoltan Pusztai Ferenc Szauter Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 103

Issue: Unknown

Page Range: 253-258

Description:

In this paper, the energy saving effect of optimized driving strategy is presented and compared to human driving strategy. The driving strategy of a one-seated experimental electric vehicle is investigated and optimized in this study, where the objective function of optimization is the minimization of the consumed energy. Measurement-based vehicle model is used during the optimization process. The initialization and constraints of optimization are set up by analyzing the acquired vehicle data of the driver. The analyzation is done using a transform algorithm, making the initialization of optimization automated. Genetic algorithm is used with mixed initial population acquired from measured driving data and from creation function. Using this hybrid initial population helped to decrease the time of optimization. The resulted velocity profile of the optimized driving strategy was used in field test measurements, where 4.28% energy savings was achieved compared to the results prior to optimization.

Open Access: Yes

DOI: 10.3303/CET23103043

Mathematical Description of the Universal IDM - some Comments and Application

Tibor Vadvári István Lakatos Krisztián Szabó András Háry Tamas Péter Ferenc Szauter

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2023-01-01

Volume: 20

Issue: 7

Page Range: 99-115

Description:

The aim of the study is to define and mathematically describe the universal IDM. An important result of this research is that the model uses a single system of differential equations. It is able to simultaneously describe the dynamic operations of the IDM systems for all different vehicle sequences. The aim of the study is to support the driving of autonomous vehicles by taking into account the dynamic variations in the state characteristics of traffic processes. The approach used is motivated by important issues in current modelling techniques that address significant economic problems in the application of large-scale ITS network models. This also points to a new opportunity in the key area of vehicle traffic management, in the related targeted fundamental research, particularly in the analysis of traffic processes in large-scale dynamic networks.

Open Access: Yes

DOI: 10.12700/APH.20.7.2023.7.6

Hierarchical Diagnostics and Risk Assessment for Energy Supply in Military Vehicles

P. Földesi Szabolcs Kocsis Szurke Dániel Csikor Ferenc Szauter L. T. Koczy

Publication Name: Energies

Publication Date: 2022-07-01

Volume: 15

Issue: 13

Page Range: Unknown

Description:

Hybrid vehicles are gaining increasing global prominence, especially in the military, where unexpected breakdowns or even power deficits are not only associated with greater expense but can also cost the lives of military personnel. In some cases, it is extremely important that all battery cells and modules deliver the specified amount of capacity. Therefore, it is recommended to introduce a new measurement line of rapid diagnostics before deployment, in addition to the usual procedures. Using the results of rapid testing, we recommend the introduction of a hierarchical three-step diagnostics and assessment procedure. In this procedure, the key factor is the building up of a hierarchical tree-structured fuzzy signature that expresses the partial interdependence or redundancy of the uncertain descriptors obtained from the rapid tests. The fuzzy signature structure has two main important components: the tree structure itself, and the aggregations assigned to the internal nodes. The fuzzy signatures that are thus determined synthesize the results from the regular maintenance data, as well as the effects of the previous operating conditions and the actual state of the battery under examination; a signature that is established this way can be evaluated by “executing the instructions” coded into the aggregations. Based on the single fuzzy membership degree calculated for the root of the signature, an overall decision can be made concerning the general condition of the batteries.

Open Access: Yes

DOI: 10.3390/en15134791

Vehicle Model-Based Driving Strategy Optimization for Lightweight Vehicle

Peter Koros Zoltan Pusztai Ferenc Szauter Ferenc Friedler

Publication Name: Energies

Publication Date: 2022-05-01

Volume: 15

Issue: 10

Page Range: Unknown

Description:

In this paper, driving strategy optimization for a track is proposed for an energy efficient battery electric vehicle dedicated to the Shell Eco-marathon. A measurement-based mathematical vehicle model was developed to simulate the behavior of the vehicle. The model contains complicated elements such as the vehicle’s cornering resistance and the efficiency field of the entire powertrain. The validation of the model was presented by using the collected telemetry data from the 2019 Shell Eco-marathon competition in London (UK). The evaluation of applicable powertrains was carried out before the driving strategy optimization. The optimal acceleration curve for each investigated power-train was defined. Using the proper powertrain is a crucial part of energy efficiency, as the drive has the most significant energy demand among all components. Two tracks with different characteristics were analyzed to show the efficiency of the proposed optimization method. The optimization results are compared to the reference method from the literature. The results of this study provide an applicable vehicle modelling methodology with efficient optimization framework, which demonstrates 5.5% improvement in energy consumption compared to the reference optimization theory.

Open Access: Yes

DOI: 10.3390/en15103631

Regenerative Braking Optimization of Lightweight Vehicle based on Vehicle Model

Peter Koros Zoltan Pusztai Ferenc Szauter Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2022-01-01

Volume: 94

Issue: Unknown

Page Range: 601-606

Description:

The usage of regenerative braking highly improves the overall energy efficiency of electric vehicles. In this paper, the model-based optimization of the torque profile is determined in the regenerative braking process of a lightweight electric vehicle. For the optimization, measurement-based vehicle model was used, where the extended powertrain model was set up, including the regenerative operation. The whole model was elaborated in MATLAB Simulink environment, where genetic algorithm (GA) was applied for the optimization. The resulted optimized braking curve was applied to control the experimental vehicle and field test were made to validate the optimization results. The results of the presented work can be directly used to further improve the drive cycle efficiency of the urban electric vehicles. The application of optimized driving strategies, including regenerative braking, could contribute to further energy and pollution reduction in urban transportation.

Open Access: Yes

DOI: 10.3303/CET2294100

Interrelation between the climate-related sustainability and the financial reporting disclosures of the European automotive industry

Árpád Tóth Alex Suta Ferenc Szauter

Publication Name: Clean Technologies and Environmental Policy

Publication Date: 2022-01-01

Volume: 24

Issue: 1

Page Range: 437-445

Description:

The financial reports of the automotive companies' are measured in a standardized manner; therefore, they are transparent and comparable to each other, but this is not valid for the sustainability reports and it is not possible to compare their sustainability performances. Standard-setting organizations are currently searching for better reporting procedures. This study aims to investigate the connection between sustainability and financial reports for the most dominant European car manufacturers. It reviews the traceability of the sustainability elements back to the financial statements, which helps transparency, comparability, and impact measurement of the disclosed items and issues. This investigation allowed us to additionally review whether these companies are targeting to disclose the most harmful pollution impacts, or only focus to disclose the required obligatory items. Given the financial and sustainability reports magnitude manual testing would not provide complete and proper coverage, therefore we utilized an automated and AI-assisted content analysis with natural language processing. In this new review method, the sustainable elements of the textual reports were automatically retrieved following the 5-stage model of Landrum & Ohsowski (2018). The study highlights the lack of true sustainability information content of reports and the potential discrepancies and connections between the financial and the sustainability reports. Findings concluded that sustainability disclosures at the reviewed companies from several aspects could be improved and quantified, traced back to the financial disclosures, and to be comparable to each other if they apply a similar review method. Graphic abstract: [Figure not available: see fulltext.].

Open Access: Yes

DOI: 10.1007/s10098-021-02108-w

Alternative Propulsion Buses in the Metropolitan Public Transport

István Lakatos Dániel Pup Andor Nagy Ferenc Szauter

Publication Name: Lecture Notes in Mechanical Engineering

Publication Date: 2021-01-01

Volume: 22

Issue: Unknown

Page Range: 49-66

Description:

The lecture is analysing the possibility of an optimal energy mix through the example of a Hungarian metropolis. Using the city bus routes, we analyse and compare the traditional Diesel, CNG, and electric propulsion. An optimal energy mix is provided by using SWOT analysis.

Open Access: Yes

DOI: 10.1007/978-981-15-9529-5_5

Analysis of network traversal and qualification of the testing values of trajectories

Tibor Vadvári István Lakatos Krisztián Szabó András Háry Tamás Péter Ferenc Szauter

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2021-01-01

Volume: 18

Issue: 10

Page Range: 151-171

Description:

This research work is aimed directly at the study of network traversal, for the design of vehicle dynamics and driving test programs. The work can be applied more widely to the qualification of test tracks. In addition to general modelling, this method can also be used to investigate the formation of loops in order to take into account, the sub-routes, multiple times. An important area of its application is the more comprehensive analysis of complex loads, as well as, the development of learning algorithms, which can be achieved by repeating multiple traversals of certain track sections within a series of measurements, and can be used for the development of on-board vehicle systems. The mathematical modelling is presented through the application of the geometric graph and subgraphs of the track. The properties of the Markov model extracted from the connection matrix of the large-scale network model are also presented. In this way, the modelling is extended to the application of the connection matrix of the large-scale network model as well. The modelling and computational details are demonstrated by means of a computer based, algebraic program. This modelling and the results of the calculations, will allow the further development of a test program design and related evaluation methods.

Open Access: Yes

DOI: DOI not available

Integrated application of network traffic and intelligent driver models in the test laboratory analysis of autonomous vehicles and electric vehicles

István Lakatos Zoltán Rózsás Tamás Péter Ferenc Szauter

Publication Name: International Journal of Heavy Vehicle Systems

Publication Date: 2020-01-01

Volume: 27

Issue: 1-2

Page Range: 227-245

Description:

The aim of the research is to develop a laboratory model-based diagnostic procedure that performs tests of the motion processes of autonomous electric vehicles in a particular city, on a transport network or track. The test consists of a laboratory based generation of the corresponding speed and steering angle signals, being in accordance with real driving and traffic conditions, which are also used in the test procedure. The procedure takes into account the real trajectory tracking process as well (Péter and Lakatos, 2017).

Open Access: Yes

DOI: 10.1504/IJHVS.2020.104422

Robustness analysis and reconfiguration strategy of autonomous vehicles in intersections

Balazs Nemeth Dániel Pup Péter Gáspár Peter Szilassy Ferenc Szauter

Publication Name: Saci 2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2019-05-01

Volume: Unknown

Issue: Unknown

Page Range: 45-50

Description:

The paper proposes the design of a neural-network-based control strategy of autonomous vehicles in intersections. The motivation of the neural network approach is to reduce the numerically-intensive computation of the optimization problem in which the motions of autonomous vehicles are formed. In the method the neural network is trained through a preliminary optimal off-line solution. Moreover, a robustness analysis and a reconfiguration strategy for the scenarios with vehicle position disturbances are proposed. The design and the analysis are illustrated through CarSim simulation examples.

Open Access: Yes

DOI: 10.1109/SACI46893.2019.9111527

Study on a road surface estimation method based on big data analysis

Balazs Nemeth Dániel Pup Daniel Fenyes Péter Gáspár Ferenc Szauter

Publication Name: Saci 2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2019-05-01

Volume: Unknown

Issue: Unknown

Page Range: 57-62

Description:

The paper presents a new method to classify the road surfaces according to the adhesion coefficient between the tire and road surface using big data approach. In this research, three different categories of the road surface are considered, such as dry, wet and icy. The purpose of classification is to create a model, which is able to determine the type of the actual road surface using only the measured data of the vehicle. The classification method is, basically, based on the C4.5 decision tree algorithm, while the data is provided the high-fidelity simulation software, CarSim. Finally, the efficiency of the resulted model is demonstrated through a complex simulation.

Open Access: Yes

DOI: 10.1109/SACI46893.2019.9111487

Questions regarding vehicle safety and the mathematical analysis of safety in large scale networks using positive dynamic systems and probability theory methods

István Lakatos Krisztián Szabó Tamas Péter Ferenc Szauter

Publication Name: 2018 14th IEEE ASME International Conference on Mechatronic and Embedded Systems and Applications Mesa 2018

Publication Date: 2018-08-27

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper introduces the mathematical modeling, safety analysis and development of diagnostic methods. Its aim is to establish a new, accredited research laboratory for the testing and quality assurance of hybrid and electric driven vehicles. The task is very complex and it puts special emphasis on environmental and safety issues.

Open Access: Yes

DOI: 10.1109/MESA.2018.8449171

Vibration analysis of a suspension system subject to high level of measurement noise

Gabor Rodonyi György Istenes Ferenc Szauter

Publication Name: 2017 4th International Conference on Control Decision and Information Technologies Codit 2017

Publication Date: 2017-11-08

Volume: 2017-January

Issue: Unknown

Page Range: 881-886

Description:

Using only vertical acceleration measurements for the sprung and unsprung masses of a suspension system of a commercial city bus, the goal of the paper is to develop an analysis method to find the vibration modes of the mechanical system from data measured during real life operation. The identified vibration modes can be used to (in)validate first principle physical models of the system, while the identified ARMA models can be used to develop uncertainty models. The challenge in the problem is that the measurements are subject to very high level of noise due to maneuvering of the vehicle, nonlinear effects of the suspension system, vibration of the engine and the gear system, and sensor noise. Nonparametric and parametric modeling methods are applied to evaluate the quality of the measurements and find the invariant properties of the suspension system. It is shown based on multiple experiments that independently of the actual road properties and operating conditions, eigen-frequencies of some vibration modes can be determined with relatively small uncertainty, while the corresponding damping factors have varying amount of uncertainty. Comparing the results with the modes of a full car vehicle model developed based on physical considerations, it can be concluded that an identification algorithm for obtaining the parameters of the physical model must be complemented with a suitable uncertainty modeling and classification.

Open Access: Yes

DOI: 10.1109/CoDIT.2017.8102707

AR and ARMA spectral analysis of suspension system of a commercial city bus

Gabor Rodonyi György Istenes Ferenc Szauter

Publication Name: Cinti 2016 17th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2017-02-07

Volume: Unknown

Issue: Unknown

Page Range: 151-156

Description:

Concerning the increasing demand for intelligent and efficient urban vehicle systems with low cost maintainability and high passenger comfort, reliable methods are needed to model and to evaluate the imposed performances. The measurements, vibrations emerging on the wheels and the body, that has ben taken on a city bus are analyzed in the frequency domain. In this paper a parametric spectral analysis (AR/ARMA method) of the suspension system of a commercial city bus is presented. The goal of the analysis is to find the right structure for the systems. Parametric methods used in this paper justify and extend the results obtained by non-parametric ones and provide more accurate results for vibration analysis. One of the main conclusions of the investigations is that the quarter-car model structure based on first principles does not reflect the true frequency domain behavior of the system. Thus the identification of the physical model must be complemented with a suitable uncertainty modeling and classification.

Open Access: Yes

DOI: 10.1109/CINTI.2016.7846395

Two operating states-based low energy consumption vehicle control

István Lakatos Ernö Horváth Peter Koros Ferenc Szauter

Publication Name: Proceedings of the ASME Design Engineering Technical Conference

Publication Date: 2017-01-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

The current paper presents a realization of a complex vehicle control task. The goal was to consume the lowest possible energy in a less than 100 kg, wheel hub motor-driven vehicle. The realization is based on two distinguishable operating states which states characterizes well the driving cycle of the vehicle. The main contribution of the proposed method is that it reliably estimates the external loads which interacts the vehicle, the controller can adapt to this changes thus it can guarantee the minimal energy consumption. The vehicle described in the paper is a participant at the Shell Eco-marathon Europe competition in Urban Concept - Battery Electric category.

Open Access: Yes

DOI: 10.1115/DETC2017-67978

Maximizing battery life and usable capacity with battery management system in electric vehicles

Zoltan Szeli Gábor Szakállas Ferenc Szauter

Publication Name: Proceedings of the ASME Design Engineering Technical Conference

Publication Date: 2017-01-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

In terms of the electric vehicles is an important issue of sizing a battery pack. The designer must take account of parameters such as cost, weight and durability. We can optimize these parameters with the help of a battery management system with integrated active cell balancing function. The article describes the development of a battery management system that developed by the Research Centre of Vehicle Industry at Széchenyi István University, Gyor, Hungary.

Open Access: Yes

DOI: 10.1115/DETC2017-67939

Spectral analysis of suspension system of a commercial city bus

Gabor Rodonyi György Istenes Ferenc Szauter

Publication Name: Sisy 2016 IEEE 14th International Symposium on Intelligent Systems and Informatics Proceedings

Publication Date: 2016-10-19

Volume: Unknown

Issue: Unknown

Page Range: 67-72

Description:

There is an ever increasing demand for intelligent and efficient urban vehicle systems that fulfill several requirements, e.g., low cost maintainability and high passenger comfort. Concerning these goals reliable methods are needed to model and to evaluate the imposed performances. In this paper a spectral analysis of the suspension system of a commercial city bus is presented. Based on experimental data taken on a city bus, the vibrations emerging on the wheels and the body are analyzed in the frequency domain. The goal of the analysis is to characterize the main eigenfrequencies of the suspension system and its damping in amplitude and also to evaluate both the road and the suspension system in terms of passenger comfort according to ISO standards.

Open Access: Yes

DOI: 10.1109/SISY.2016.7601473

Investigating the appliance of aluminum as a winding material with high efficiency electric motor

István Lakatos Dávid Czeglédi Ferenc Szauter

Publication Name: Mesa 2016 12th IEEE ASME International Conference on Mechatronic and Embedded Systems and Applications Conference Proceedings

Publication Date: 2016-10-07

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Nowadays the driveline development of public and individual transport is very significant. More and more hybrid and full electric urban vehicle can be found on city roads. The application of electric drive increases in public transport as well. This tendency is shown in Europe, but it also can be observed in America and Asia. The figures show that the electric application tends to increase in the following years and decades. Copper is solely usable as the winding material at the motors of full electric or hybrid driven vehicles. Based on predictions, the copper resources are running down, which means that the price of copper will greatly increase in a very short time, or these resources can be totally exhausted in an extreme situation. In this article, I investigate the applications of other metals but mainly of aluminium, which could provide solutions to the replacement of copper.

Open Access: Yes

DOI: 10.1109/MESA.2016.7587119

Complex analysis of vehicle and environment dynamics

István Lakatos Dániel Pup Tamas Péter Ferenc Szauter

Publication Name: Mesa 2016 12th IEEE ASME International Conference on Mechatronic and Embedded Systems and Applications Conference Proceedings

Publication Date: 2016-10-07

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper introduces mathematical modelling, the development of diagnostic methods and the design of producing a prototype. Its aim is to establish a new, accredited research laboratory for the testing and quality assurance of hybrid and electric driven vehicles. The task is very complex and it puts special emphasis on environmental and safety issues. It highlights the fact that its application under laboratory conditions establishes a new situation for measurement. It points out that the complex research which develops diagnostic techniques and procedures related to real operation and urban environment, moreover, applies optimal planning methods still has novelty.

Open Access: Yes

DOI: 10.1109/MESA.2016.7587112

An in-depth analysis of cycling and pedestrian accidents in Hungary

József Óberling István Lakatos Dániel Pup Tamas Péter Ferenc Szauter

Publication Name: Mesa 2016 12th IEEE ASME International Conference on Mechatronic and Embedded Systems and Applications Conference Proceedings

Publication Date: 2016-10-07

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The National Committee for Accident Prevention (OBB) of the National Police Headquarters of Hungary (ORFK) has ordered an analytical research on accidents involving cyclists and pedestrians in 2013-14. The Department of Automotive and Railway Engineering at Széchenyi István University Gyor has carried out an evaluative and analytical study on this issue and has made proposals based on the results of the study. Within the framework of this project, it has also set out actions aiming to increase road safety. The following study gives an insight into this analysis.

Open Access: Yes

DOI: 10.1109/MESA.2016.7587113

Robust reconfigurable control for in-wheel electric vehicles

Tímea Fülep András Mihály Zoltán Szabó Péter Gáspár Ferenc Szauter J. Bokor

Publication Name: IFAC Papersonline

Publication Date: 2015-09-01

Volume: 28

Issue: 21

Page Range: 36-41

Description:

The paper presents a fault tolerant reconfigurable control method for vehicles driven by four in-wheel electric motors and a steering system. The aim of the design is to realize robust velocity and road trajectory tracking even under challenging driving conditions or actuator failures. The vehicle is operated solely with the in-wheel motors, thus steering intervention is only applied in case of skidding or a failure of an electric motor. The reconfigurable control is realized based on Linear Parameter Varying (LPV) framework, using the specific characteristics of the in-wheel motors of fast and accurate torque control. The operation of the designed control system is demonstrated in a CarSim simulation environment.

Open Access: Yes

DOI: 10.1016/j.ifacol.2015.09.501

Analysis of the complex environmental impact on urban trajectories

István Lakatos Tamas Péter Ferenc Szauter

Publication Name: Proceedings of the ASME Design Engineering Technical Conference

Publication Date: 2015-01-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

Modeling traffic processes on large-scale road networks leads to the application of positive non-linear systems, Luenberger (1979). Running profiles can be gained from the applied large-size network model based on previous validations, which are sufficiently complex, complicated and built up by accelerations, decelerations and frequent stops. To develop accelerated methods for analyzing complex environmental impact on urban trajectories Our planned researches on emission encourage the further standardization and beyond that, the bilateral interoperability. According to our goals we point out on the differences, which have to be taken into account in the urban traffic also, and of which the lab measurements may vary. Real processes operate like this, which differ from those applied in laboratories and on roller brake test bench. In reality, however, vehicle emission strongly depends on driving style; moreover, it is also affected by any change in traffic flow. Significant differences can be realized in various regions and countries. The role of the optimal vehicle control is highlighted in every case. The same can be stated of the environmental loads of pollutant emissions and concerning the vehicle and environment dynamic. The detailed analysis introduced above has big impact on further automotive researches as being rapid and applicable for big number of vehicles providing statistical support.

Open Access: Yes

DOI: 10.1115/DETC2015-47077

Complex analysis of the dynamic effects of car population along the trajectories

Tamas Péter Ferenc Szauter J. Bokor

Publication Name: Proceedings of the ASME Design Engineering Technical Conference

Publication Date: 2015-01-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

The analyses apply new complex model to analyze both road traffic transport processes and spatial nonlinear vehicle dynamic effects. Therefore also the network traffic processes can be analyzed and in a united system the spatial vehicle dynamic processes realized on networks can be attained. Objective the raising the dynamic safety, risk and hazard analysis, reducing the environmental impact of vehicles.

Open Access: Yes

DOI: 10.1115/DETC2015-47075

Examinations of complex traffic dynamic systems and new analysis, modeling and simulation of electrical vehicular systems

István Lakatos Tamas Péter Ferenc Szauter

Publication Name: Mesa 2014 10th IEEE ASME International Conference on Mechatronic and Embedded Systems and Applications Conference Proceedings

Publication Date: 2014-10-24

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

A validated, quick and cost-effective alternative method can be applied to analyze driver load, which is based on the track record of the city, traffic simulation model and parameters of the vehicle and driver characteristics.

Open Access: Yes

DOI: 10.1109/MESA.2014.6935613

Hierarchical robust control for in-wheel motor vehicles

Tímea Fülep Péter Gáspár András Mihály Zoltán Szabó Ferenc Szauter J. Bokor

Publication Name: Proceedings of the Mini Conference on Vehicle System Dynamics Identification and Anomalies

Publication Date: 2014-01-01

Volume: 2014-January

Issue: Unknown

Page Range: 71-81

Description:

The paper proposes the design of an integrated vehicle control system for in-wheel electric vehicle, which is able to track road geometry with a predefined reference velocity. In the design the lateral and longitudinal dynamics are combined using the in-wheel motors and the steering system. The design methodology of the hierarchical control is proposed. The required control signals are calculated by applying high-level controllers, which are designed using a robust control method. For the control design the model is augmented with weighting functions specified by the performance demands. The actuators generating the necessary control signals in order to achieve the requirements for which low-level tracking controllers are designed.

Open Access: Yes

DOI: DOI not available

Robust reconfigurable control for in-wheel motor vehicles

Tímea Fülep Péter Gáspár András Mihály Zoltán Szabó Ferenc Szauter J. Bokor

Publication Name: 2014 IEEE International Electric Vehicle Conference Ievc 2014

Publication Date: 2014-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The paper deals with reconfigurable control of in-wheel electric vehicles. Basically the vehicle is controlled alone by the four electric engines mounted in the wheels of the vehicle. The goal is to design a control system with velocity and trajectory tracking ability realized by separate torque generation of the in-wheel motors. In critical driving situations when the yaw moment cannot be established with the four in-wheel engine alone, the high-level controller reconfigures the actuator inputs, thus steering intervention helps to stabilize the vehicle. Moreover, a multi-layer supervisory architecture for integrated control systems is also proposed. The operation of the vehicle is illustrated through a CarSim simulation example.

Open Access: Yes

DOI: 10.1109/IEVC.2014.7056232

Variable network model

Zsuzsanna Bede Tamas Péter Ferenc Szauter

Publication Name: IFAC Proceedings Volumes IFAC Papersonline

Publication Date: 2013-01-01

Volume: 1

Issue: PART 1

Page Range: 173-177

Description:

Exploration and analysis of the possible application of state-dependent control through changing the structure of the above road traffic systems. © IFAC.

Open Access: Yes

DOI: 10.3182/20130916-2-tr-4042.00026

Reduction of vibrations generated by the drive system of rail vehicles

Ferenc Szauter Laszlo Bozoky Vince Nagy

Publication Name: Proceedings of the Mini Conference on Vehicle System Dynamics Identification and Anomalies

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 177-182

Description:

The vibrations coming from the drive system of the railway vehicle induces damages to the car-body of the vehicle. The aims of the current test were to come into the position of determining the causes of these vibrations, to explore the reduction possibilities, to point out the loci of resonance, to speed up the recognition of failures and the renewal purpose repair processes of the vehicles.

Open Access: Yes

DOI: DOI not available

Quantitative analysis of green investments in European automotive companies: a digital reporting analysis

Eszter Lukács Árpád Tóth Alex Suta Ferenc Szauter

Publication Name: Clean Technologies and Environmental Policy

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Automotive companies are a major driver of the economy due to their high production volumes and extensive supply networks. However, the shift towards focusing on Environmental, Social, and Governance (ESG) aspects to comply with regulatory constraints and meet shareholder expectations presents significant challenges. This study addresses the need for transparency in green investments and their impact on CO2 emissions within the automotive sector. To achieve this, a sample of 22 listed European automotive companies were selected based on their digital financial reports (XBRL), as well as their annual sustainability reports. Key variables, including Scope 1, Scope 2, and Scope 3 emissions, were evaluated alongside three categories of corporate investments: tangible, intangible, and other long-term assets. A robust Analysis of Covariance (ANCOVA) model was employed to quantify the relationship between these investment activities and emissions. The results indicate a significant interaction effect on Scope 1 emissions, while the effects on Scope 2 emissions were not significant and Scope 3 emissions showed marginal results. These findings suggest that companies disclose green investments to mitigate reputational risks, offering insights into the relationship between financial and sustainability metrics in ESG reporting, while highlighting the importance of transparent reporting for achieving sustainability goals and enhancing comparability among companies. Graphical abstract: (Figure presented.)

Open Access: Yes

DOI: 10.1007/s10098-024-03052-1

Integrated robust control design for in-wheel-motor vehicles

Tímea Fülep Zoltán Szabó Péter Gáspár Mihály András Ferenc Szauter J. Bokor

Publication Name: Fisita 2014 World Automotive Congress Proceedings

Publication Date: 2014-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The paper proposes a multi-layer supervisory architecture for integrated control systems in road vehicles. The role of the supervisor is to coordinate active control components and provide priority among them. The supervisor has information about the current operational mode of the vehicle and it is able to make decisions about the necessary interventions into the vehicle components and guarantee the reconfigurable operation of the vehicle. The decisions of the supervisor are propagated to the lower layers through predefined interfaces encoded as suitable scheduling signals. The contribution of the paper is the application of the LPV methodology in a design case study in which an integrated control of four wheel independently-actuated electric vehicle with active steering system is developed.

Open Access: Yes

DOI: DOI not available