Search in Publications

Found 6427 publications

Cell Fault Identification and Localization Procedure for Lithium-Ion Battery System of Electric Vehicles Based on Real Measurement Data

Szabolcs Fischer István Lakatos Szabolcs Kocsis Szurke Antal Apagyi Gergő Sütheö

Publication Name: Algorithms

Publication Date: 2022-12-01

Volume: 15

Issue: 12

Page Range: Unknown

Description:

Vehicle safety risk can be decreased by diagnosing the lithium-ion battery system of electric road vehicles. Real-time cell diagnostics can avoid unexpected occurrences. However, lithium-ion batteries in electric vehicles can significantly differ in design, capacity, and chemical composition. In addition, the battery monitoring systems of the various vehicles are also diverse, so communication across the board is not available or can only be achieved with significant difficulty. Hence, unique type-dependent data queries and filtering are necessary in most cases. In this paper, a Volkswagen e-Golf electric vehicle is investigated; communication with the vehicle was implemented via an onboard diagnostic port (so-called OBD), and the data stream was recorded. The goal of the research is principally to filter out, identify, and localize defective/weak battery cells. Numerous test cycles (constant and dynamic measurements) were carried out to identify cell abnormalities (so-called deviations). A query and data filtering process was designed to detect defective battery cells. The fault detection procedure is based on several cell voltage interruptions at various loading levels. The methodology demonstrated in this article uses a fault diagnosis technique based on voltage abnormalities. In addition, it employs a hybrid algorithm that executes calculations on measurement and recorded data. In the evaluation, a status line comprising three different categories was obtained by parametrizing and prioritizing (weighting) the individual measured values. It allows the cells to be divided into the categories green (adequate region), yellow (to be monitored), and red (possible error). In addition, several querying strategies were developed accordingly to clarify and validate the measurement results. The several strategies were examined individually and analyzed for their strengths and weaknesses. Based on the results, a data collection, processing, and evaluation strategy for an electric vehicle battery system have been developed. The advantage of the developed algorithm is that the method can be adapted to any electric or hybrid vehicle battery.

Open Access: Yes

DOI: 10.3390/a15120467

Teaching Aspects of ROS 2 and Autonomous Vehicles †

Erno Horváth Miklos Unger Rudolf Krecht Gergo Igneczi Norbert Marko

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The advancement of autonomous vehicles (AVs) has brought forth a substantial need for effective education in robotic operating systems, particularly ROS 2, which serves as the backbone for many autonomous vehicle (AV) applications. This paper explores the academic approach and instructional methodologies tailored for teaching ROS 2 in the context of autonomous vehicle technology. It highlights the critical components and architecture of ROS 2, emphasizing its modularity, real-time communication capabilities, and robust ecosystem which make it ideal for AV development. Through a detailed curriculum outline, we describe hands-on learning activities, simulation-based exercises, and project-driven modules that facilitate deep understanding and practical skills acquisition. The effectiveness of these teaching methods is evaluated through a mixed-methods study involving student feedback, performance assessments, and project outcomes. Results indicate significant improvements in student comprehension and proficiency in both ROS 2 and autonomous vehicle systems. This research contributes to the body of knowledge by providing a comprehensive framework for educators to effectively teach ROS 2, thereby fostering the next generation of engineers proficient in developing and deploying autonomous vehicle technologies.

Open Access: Yes

DOI: 10.3390/engproc2024079049

Comparison of feed-forward control strategies for simplified vertical hopping model with intrinsic muscle properties

Ambrus Zelei Dóra Patkó

Publication Name: Bioinspiration and Biomimetics

Publication Date: 2024-11-01

Volume: 19

Issue: 6

Page Range: Unknown

Description:

To analyse walking, running or hopping motions, models with high degrees of freedom are usually used. However simple reductionist models are advantageous within certain limits. In a simple manner, the hopping motion is generally modelled by a spring-mass system, resulting in piecewise smooth dynamics with marginally stable periodic solutions. For a more realistic behaviour, the spring is replaced by a variety of muscle models due to which asymptotically stable periodic motions may occur. The intrinsic properties of the muscle model, i.e. preflexes, are usually taken into account in three complexities—constant, linear and Hill-type. In this paper, we propose a semi-closed form feed-forward control which represents the muscle activation and results in symmetrical hopping motion. The research question is whether hopping motions with symmetric force-time history have advantages over asymmetric ones in two aspects. The first aspect is its applicability for describing human motion. The second aspect is related to robotics where the efficiency is expressed in term of performance measures. The symmetric systems are compared with each other and with those from the literature using performance measures such as hopping height, energetic efficiency, stability of the periodic orbit, and dynamical robustness estimated by the local integrity measure (LIM). The paper also demonstrates that the DynIn MatLab Toolbox that has been developed for the estimation of the LIM of equilibrium points is applicable for periodic orbits.

Open Access: Yes

DOI: 10.1088/1748-3190/ad7345

Parameter computation of the hand model in virtual grasping

Claudiu Radu Pozna Csaba Antonya Silviu Butnariu

Publication Name: 5th IEEE International Conference on Cognitive Infocommunications Coginfocom 2014 Proceedings

Publication Date: 2014-01-23

Volume: Unknown

Issue: Unknown

Page Range: 173-177

Description:

The aim of this paper is to identify the number of parameters of a hand model which can be computed during virtual grasping. The fingers of the user are tracked with various methods (position sensors and bending sensors) and the measured data is used to estimate the unknown parameter of the hand. An articulated hand model is constructed based on the assumption that the measured data is corrupted by noise and some of the hand's physical parameters are known. Virtual grasping and the parametric hand model are important, especially for force rendering in haptic feedback computation and to produce visually realistic results in hand-artifact interaction.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2014.7020440

Key Factors of Sustainability-Oriented Innovation on Competitiveness of SMEs: A Review

Tibor Dőry

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 31-36

Description:

Innovative solutions can promote sustainability and competitiveness by creating new products and services that are environmentally friendly while meeting customer needs. Sustainability-oriented innovation includes the integration of ecological and social aspects into products, processes, and organizational structures to avoid or reduce the environmental load and achieve greater benefits in the community. These types of innovations make intentional changes to a company’s products, services, or processes to generate long-term social and environmental benefits while creating economic profits for the firm. There are only a few literature review articles that investigate the link between sustainability-oriented innovations and firm competitiveness. Therefore, this systemic literature article aims to fill this research gap and present the results of a systematic literature review that focuses on the key factors affecting the sustainability innovation and competitiveness relationship. The results might trigger further research on the topic by digging deeper into the subject with case studies.

Open Access: Yes

DOI: 10.3303/CET23107006

Building renovation cost optimization with the support of fuzzy signature state machines

Gergely Molnarka Laszlo T. Koczy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2015-01-01

Volume: 331

Issue: Unknown

Page Range: 129-138

Description:

The renovation of a significant segment of housing sector in Budapest, Hungary is overdue. Besides other causes, the absence of any effective tool that may support the decisions of the ownership communities in determining the technically verified steps and solutions in repair processes hinders the improvement of the physical condition of old residential houses. In this paper we propose a new formal method and approach for generating such tool that considers the costs and feasibilities of alternative renovation processes with professional data obtained from building diagnostics surveys, technical reports and contractors’ billing database. As a case study, a comprehensive renovation chain of the roof structure of a pre-war residential house will be evaluated.

Open Access: Yes

DOI: 10.1007/978-3-319-13153-5_13

Development of hybrid optimization approach combined with AI-based techniques for prediction of electrical fields in overhead transmission lines

Sid Ahmed Bessedik Rabah Djekidel Takieddine Meriouma Ragab A. El-Sehiemy

Publication Name: Journal of Supercomputing

Publication Date: 2025-11-01

Volume: 81

Issue: 16

Page Range: Unknown

Description:

Getting a precise estimate of electric fields around extra-high-voltage (EHV) transmission lines is essential for keeping the public safe, ensuring environmental compliance, and planning infrastructure effectively. Unfortunately, traditional numerical methods often struggle with accuracy and can be slow to converge, which makes them less suitable for large-scale projects. This study introduces a hybrid computational framework that combines the Charge Simulation Method (CSM) with the Firefly Algorithm (FA). This combination helps optimize the number, position, and strength of simulation charges, leading to better modeling accuracy and efficiency. Additionally, we have trained three artificial intelligence (AI) models: Multilayer Perceptron Neural Network (MLPNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Least Squares Support Vector Machine (LS-SVM) on real-world field data to reliably predict electric field values. Notably, LS-SVM is being used in this context for the first time and has shown to outperform the other models in accuracy, generalization, and speed. We evaluated the proposed CSM-FA hybrid model alongside AI predictions using metrics like Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and the coefficient of determination (R2), revealing significant improvements over traditional methods. Given the heavy computational demands of the optimization and learning phases, we utilized high-performance computing (HPC) resources for implementation. This work not only advances algorithmic innovation and AI-assisted simulation but also enhances HPC applications, providing a scalable and precise solution for real-time field monitoring and regulatory assessments. The methodology aligns well with the scientific goals of The Journal of Supercomputing and fosters advanced research in intelligent power system modeling.

Open Access: Yes

DOI: 10.1007/s11227-025-08013-z

The catalyst-like role of forensic genetics in the developmental process of Hungarian wildlife forensics

Petra Zenke Viktor Soma Poór Mónika Nogel Gabor Kovacs Zsolt Pádár

Publication Name: Forensic Science International Genetics Supplement Series

Publication Date: 2022-12-01

Volume: 8

Issue: Unknown

Page Range: 263-264

Description:

The anthropocentric nature of forensic sciences has been changing continuously over the years and this process is continuing today. Due to its universality and multilateral implementation, and the fragmented nature of forensic epistemology, the information provided by forensic genetics can play a pivotal role in forensic science. At the same time, the link between forensic genetics and non-human forensic biological evidence has become unquestionable. It may highlight the modern requirements of forensic science, and this connection is also able to provide useful and sufficient examples for developmental processes in wildlife forensics. Obviously, the local formations, organizations, and operations of wildlife forensics can be different worldwide, but the detection and punishment of wildlife-related criminal behavior, as well as the prevention of further crimes, play a relevant role in these processes everywhere.

Open Access: Yes

DOI: 10.1016/j.fsigss.2022.10.056

Green Energy-Related Financial Literacy and Its Impact on Social Entrepreneurship

Csongor Czipf Absalón J. Salmerón- Zapata José G. Vargas- Hernandez

Publication Name: Entrepreneurial Narratives of Women Driving Economic and Social Transformation in Latin America

Publication Date: 2025-11-13

Volume: Unknown

Issue: Unknown

Page Range: 131-156

Description:

This study looks at how financial literacy related to green energy affects the start-up, growth, and success of social entrepreneurship projects. This study examines the ways in which financial knowledge unique to green financing options, sustainable business models, and investments in renewable energy influences entrepreneurial decision-making and venture outcomes in the social sector through a thorough literature review and theoretical analysis. The results indicate that entrepreneurs' capacity to see possibilities, obtain suitable capital, and create workable company plans that tackle social and environmental issues is much improved by increased green energy financial literacy.

Open Access: Yes

DOI: 10.4018/979-8-3373-3511-7.ch005