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001-es BibID:	BIBFORM126937
Első szerző:	Ghareeb, Abdullah Waheeb Jaffer Omer
Cím:	Dynamic Modeling and Optimization of Permanent Magnet Synchronous Electrical Machine Propulsion Powertrain at Different Modeling Levels / Abdullah Waheeb Jaffer Omer Ghareeb, Aminu Babangida, Péter Tamás Szemes
Dátum:	2025
ISSN:	1785-8860
Megjegyzések:	Electric vehicles (EVs) have emerged as a compelling solution to mitigate environmental concerns and meet the growing demand for energy-efficient transportation systems. The careful selection of the electric motor is critical in determining the overall performance of the EV. This paper uses an EV from the University of Debrecen as a reference to comprehensively study the feasibility of using a permanent magnet brushless direct current (PMBLDC) motor in the vehicle. The optimal performance of the overall powertrain is realized based on a proportional integral and derivative (PID) controller. The advanced nonlinear dynamics of the system make the performance of the control algorithm unrealistic. The PID is optimized based on a genetic algorithm (GA-PID) to address this limitation and achieve optimal performance. The integral performance indices are used as a fitness value for the optimization problem. However, MATLAB/Simulink/Simscape is used to comprehensively investigate and compare the simplified and advanced models of a threephase, four-pole, Y-connected PMBLDC motor in the EV application. The simulation results indicate that the proposed electrical machine is promising in EVs, achieving 90.90 % energy efficiency, thereby decreasing the energy consumption by 11.12 % compared to the measured real-world results. This research contributes significantly to energy efficiency, power efficiency, and thermal performance, offering invaluable insights into the optimal selection and modeling of PMBLDC motors at varying complexity levels in EVs. Ultimately, this study steers the industry towards a more sustainable and environmentally conscious trajectory.
Tárgyszavak:	Műszaki tudományok Villamosmérnöki tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk Advanced Powertrain EVs Genetic Algorithm PID PMBLDC Motor
Megjelenés:	Acta Polytechnica Hungarica. - 22 : 3 (2025), p. 39-61. -
További szerzők:	Babangida, Aminu (1988-) (Informatics)(mérnök) Szemes Péter Tamás (1976-) (gépészmérnök, villamosmérnök)
Pályázati támogatás:	TKP2020-NKA-04 Egyéb K143595 OTKA
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM129872
Első szerző:	Modibbo, Muazu Adamu
Cím:	Robust and Optimal Control Design for Vehicle Suspension System / Muazu Adamu Modibbo, Aminu Babangida, Péter Tamás Szemes
Dátum:	2025
ISSN:	1785-8860
Megjegyzések:	Developing a reliable control algorithm for a mechatronic suspension can be tricky because of the nonlinear nature of the system and the necessity to achieve a good trade-off between the requirements of road handling ability and the comfort of passengers. This paper assesses the performance of two control methods, the H-Infinity (H ?) and linear quadratic regulator (LQR), applied to an active suspension system. This suspension system uses sensors and actuators in addition to the springs and dampers of the traditional suspension system. It combines software, electrical, and mechanical parts to improve the car handling and convenience of passengers on the road. A quarterly car automotive suspension model consisting of 2 degrees of freedom (2 DOF) is proposed as the case study. The suspension deviation, wheel displacement, and upward acceleration of the car frame are the performance parameters considered in this research. The aim is to strike a perfect balance while achieving minimum readings of car chassis acceleration and wheel deflection demonstrated by each controller when steady state error approaches zero from the suspension response. The body acceleration and wheel deflection affect the passenger comfort and road handling, respectively. Time-based simulation is carried out in MATLAB/Simulink environment to verify the effectiveness of the proposed control mechanisms. The results of the simulation demonstrate the effectiveness and robustness of the proposed control schemes.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk H-Infinity LQR MATLAB/Simulink PID Suspension System
Megjelenés:	Acta Polytechnica Hungarica. - 22 : 5 (2025), p. 109-126. -
További szerzők:	Szemes Péter Tamás (1976-) (gépészmérnök, villamosmérnök) Babangida, Aminu (1988-) (Informatics)(mérnök)
Pályázati támogatás:	TKP2020-NKA-04 Egyéb K143595 OTKA
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM123616
035-os BibID:	(Scopus)85204396513 (WoS)001301297600003
Első szerző:	Szabolcsi Róbert (gépészmérnök)
Cím:	Bidirectional Use of the Batteries in Modern Electric Vehicles / Róbert Szabolcsi, József Menyhárt, Géza Husi
Dátum:	2024
ISSN:	1785-8860
Megjegyzések:	Recently, the climate and carbon neutrality are the largest challenges, both in the European Union and globally. In addition, an energy crisis caused mostly by the RussianUkrainian war, has made countries understand the importance of alternative sources of energy, harvested from renewable sources, instead of fossil based energies. Thus, the immediate challenge and need arises store the electrical energy harvested by the various different technologies. Additionally, the optimal and eco-friendly use of the stored energy needs clarification. The motive of the authors herein, is to explain a novel idea of using AI, both in the charging and discharging of batteries, that store the electrical energy harvested off-grid. For this purpose, they analyzed the measurement data and provided methods for that purpose.
Tárgyszavak:	Műszaki tudományok Villamosmérnöki tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk solar systems electric vehicles battery fuzzy logic sigmoid bidirectional charging
Megjelenés:	Acta Polytechnica Hungarica. - 21 : 11 (2024), p. 49-71. -
További szerzők:	Menyhárt József (1988-) (gépészmérnök, létesítménymérnök, lean szakmérnök) Husi Géza (1962-) (gépészmérnök, mechatronikai mérnök, számítógépes tervezőmérnök)
Pályázati támogatás:	TKP2020-NKA-04 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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