@article{MTMT:34018990,
	title = {Kriging-Assisted Multi-Objective Optimization Framework for Electric Motors Using Predetermined Driving Strategy},
	url = {https://m2.mtmt.hu/api/publication/34018990},
	author = {Istenes, György and Pusztai, Zoltán and Kőrös, Péter and Horváth, Zoltán and Friedler, Ferenc},
	doi = {10.3390/en16124713},
	journal-iso = {ENERGIES},
	journal = {ENERGIES},
	volume = {16},
	unique-id = {34018990},
	issn = {1996-1073},
	abstract = {In this paper, a multi-objective optimization framework for electric motors and its validation is presented. This framework is suitable for the optimization of design variables of electric motors based on a predetermined driving strategy using MATLAB R2019b and Ansys Maxwell 2019 R3 software. The framework is capable of managing a wide range of objective functions due to its modular structure. The optimization can also be easily parallelized and enhanced with surrogate models to reduce the runtime. The framework is validated by manufacturing and measuring the optimized electric motor. The method’s applicability for solving electric motor design problems is demonstrated via the validation process. A test application is also presented, in which the operating points of a predetermined driving strategy provide the input for the optimization. The kriging surrogate model is used in the framework to reduce the runtime. The results of the optimization and the framework’s benefits and drawbacks are discussed through the provided examples, in addition to displaying the properly applicable design processes. The optimization framework provides a ready-to-use tool for optimizing electric motors based on the driving strategy for single- or multi-objective purposes. The applicability of the framework is demonstrated by optimizing the electric motor of a world recorder energy-efficient race vehicle. In this application, the optimization framework achieved a 2% improvement in energy consumption and a 9% increase in speed at a rated DC voltage, allowing the motor to operate at desired working points even with low battery voltage.},
	year = {2023},
	eissn = {1996-1073}
}

@article{MTMT:33700166,
	title = {Implementation of Optimized Regenerative Braking in Energy Efficient Driving Strategies},
	url = {https://m2.mtmt.hu/api/publication/33700166},
	author = {Pusztai, Zoltán and Kőrös, Péter and Szauter, Ferenc and Friedler, Ferenc},
	doi = {10.3390/en16062682},
	journal-iso = {ENERGIES},
	journal = {ENERGIES},
	volume = {16},
	unique-id = {33700166},
	issn = {1996-1073},
	abstract = {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.},
	year = {2023},
	eissn = {1996-1073}
}

@inproceedings{MTMT:34132508,
	title = {A 2022-es Shell Eco-marathon verseny értékelése és fejlesztési irányok meghatározása},
	url = {https://m2.mtmt.hu/api/publication/34132508},
	author = {Kőrös, Péter},
	booktitle = {Mobilitás és környezet JÖVŐFORMÁLÓ JÁRMŰIPARI KUTATÁSOK Konferenciakiadvány 2022. novemberi konferencia},
	unique-id = {34132508},
	year = {2022},
	pages = {91-109}
}

@inproceedings{MTMT:34032719,
	title = {Görgős mérőrendszer tervezése alacsony teljesítményű hajtásláncok komplex vizsgálatához},
	url = {https://m2.mtmt.hu/api/publication/34032719},
	author = {Fersztl, Barnabás and Pusztai, Zoltán and Kőrös, Péter},
	booktitle = {„Digitális Járműipari Kutatások a Széchenyi István Egyetemen – Mesterséges Intelligencia a mobilitásban” Konferenciakiadvány 2022. június},
	unique-id = {34032719},
	year = {2022},
	pages = {136-143}
}

@inproceedings{MTMT:34032240,
	title = {Autonóm funkciók implementálása energiahatékony versenyjárműbe},
	url = {https://m2.mtmt.hu/api/publication/34032240},
	author = {Kecskeméti, István and Kőrös, Péter and Unger, Miklós},
	booktitle = {„Digitális Járműipari Kutatások a Széchenyi István Egyetemen – Mesterséges Intelligencia a mobilitásban” Konferenciakiadvány 2022. június},
	unique-id = {34032240},
	year = {2022},
	pages = {36-42}
}

@misc{MTMT:33082589,
	title = {Modelling Steering Resistance to Save Energy},
	url = {https://m2.mtmt.hu/api/publication/33082589},
	author = {Pusztai, Zoltán and Kőrös, Péter and Friedler, Ferenc},
	unique-id = {33082589},
	year = {2022}
}

@article{MTMT:33081407,
	title = {Regenerative Braking Optimization of Lightweight Vehicle based on Vehicle Model},
	url = {https://m2.mtmt.hu/api/publication/33081407},
	author = {Pusztai, Zoltán and Kőrös, Péter and Szauter, Ferenc and Friedler, Ferenc},
	doi = {10.3303/CET2294100},
	journal-iso = {CHEM ENG TR},
	journal = {CHEMICAL ENGINEERING TRANSACTIONS},
	volume = {94},
	unique-id = {33081407},
	issn = {1974-9791},
	year = {2022},
	eissn = {2283-9216},
	pages = {601-606}
}

@article{MTMT:32895400,
	title = {Modelling Steering Resistance to Save Energy},
	url = {https://m2.mtmt.hu/api/publication/32895400},
	author = {Pusztai, Zoltán and Kőrös, Péter and Friedler, Ferenc},
	doi = {10.1088/1757-899X/1237/1/012016},
	journal-iso = {IOP CONF SER MATER SCI ENG},
	journal = {IOP CONFERENCE SERIES: MATERIALS SCIENCE AND ENGINEERING},
	volume = {1237},
	unique-id = {32895400},
	issn = {1757-8981},
	year = {2022},
	eissn = {1757-899X},
	pages = {012016}
}

@article{MTMT:32829186,
	title = {Vehicle Model-Based Driving Strategy Optimization for Lightweight Vehicle},
	url = {https://m2.mtmt.hu/api/publication/32829186},
	author = {Pusztai, Zoltán and Kőrös, Péter and Szauter, Ferenc and Friedler, Ferenc},
	doi = {10.3390/en15103631},
	journal-iso = {ENERGIES},
	journal = {ENERGIES},
	volume = {15},
	unique-id = {32829186},
	issn = {1996-1073},
	year = {2022},
	eissn = {1996-1073}
}

@inproceedings{MTMT:32778282,
	title = {Modulrendszerű, önvezérlésre alkalmas, távvezérelhető, könnyű páncélvédettségű félplatós terepjáró katonai és katasztrófavédelmi célú terepjáró bázisjármű és kapcsolódó cserefelépítmények fejlesztése},
	url = {https://m2.mtmt.hu/api/publication/32778282},
	author = {Krecht, Rudolf and Pusztai, Zoltán and Kőrös, Péter},
	booktitle = {XV. IFFK 2021: Innováció és fenntartható felszíni közlekedés},
	unique-id = {32778282},
	year = {2021},
	pages = {21},
	orcid-numbers = {Krecht, Rudolf/0000-0002-8927-8783}
}