Reminder about the meeting of the Hungarian Academy of Sciences' Transportation and Vehicle Science Committee

  • Ádám Török egyetemi tanár, KJTB elnök, BME
  • Balázs Horváth habilitált egyetemi docens, KJTB titkár, Széchenyi István Egyetem
Keywords: Hungarian Academy of Sciences, Transportation and Vehicle Science Committee, propulsions

Abstract

Ádám Török, Chairman of the Committee, welcomed the attendees. He reminded those present that the Committee is planning to hold remote meetings in 2025, and this meeting at the BOSCH Innovation Campus is also related to this. Accordingly, the topic of the meeting was the development of automotive engineering.            

References

Szürke, S. K., Sütheö, G., Őri, P., & Lakatos, I. (2024). Self-Diagnostic Opportunities for Battery Systems in Electric and Hybrid Vehicles. Machines, 12(5), 324.

Csomós, B., Kocsis Szürke, S., & Fodor, D. (2023). Comparison of Coupled Elect-rochemical and Thermal Modelling Strategies of 18650 Li-Ion Batteries in Finite Element Analysis—A Review. Materials, 16(24), 7613

Kocsis Szürke, S., Kovács, G., Sysyn, M., Liu, J., & Fischer, S. (2023). Numerical optimization of battery heat management of electric vehicles. Journal of Applied and Computational Mechanics, 9(4), 1076-1092.

Kocsis Szürke, S., Sütheö, G., Apagyi, A., Lakatos, I., & Fischer, S. (2022). Cell fault identification and localization procedure for lithium-ion battery system of electric vehicles based on real measurement data. Algorithms, 15(12), 467.

Szalai, S., Szürke, S. K., Harangozó, D., & Fischer, S. (2022). Investigation of deformations of a lithium polymer cell using the Digital Image Correlation Method (DI-CM). Reports in Mechanical Engineering, 3(1), 116-134.

Dineva, A., Csomós, B., Sz, S. K., & Vajda, I. (2021). Investigation of the performance of direct forecasting strategy using machine learning in State-of-Charge prediction of Li-ion batteries exposed to dynamic loads. Journal of Energy Storage, 36, 102351

Wengritzky, Z. (2023). Spatial analysis of the BEV market and the corresponding charging infrastructure in Hungary. Cognitive Sustainability, 2(2).

Zsombók, I. (2023). Sustainable operation? Measuring the actual consumption of a hybrid car and determining its consumption curve. Cognitive Sustainability, 2(3).

Said Jneid, M., & HARTH, P. (2025). Mathematical Model Derivation of the Special 24-Phase Protean In-Wheel-Motor Used In EV Applications. Cognitive Sustaina-bility, 4(1). https://doi.org/10.55343/cog-sust.109

Jneid, M. S., & Harth, P. (2024). Integrated Torque Vectoring Control Using Vehicle Yaw Rate and Sideslip Angle for Improving Steering and Stability of All Off-Wheel-Motor Drive Electric Vehicles. Acta Polytech. Hung, 21, 87-106.

Taran, I. (2024). Investigation of the future of electric mobility in the EU: the dependency on the USA. Cognitive Sustainability, 3(4). https://doi.org/10.55343/cog-sust.144

Published
2025-06-20
How to Cite
Török Ádám, & HorváthB. (2025). Reminder about the meeting of the Hungarian Academy of Sciences’ Transportation and Vehicle Science Committee. Scientific Review of Transport, 75(3), 52-55. https://doi.org/10.24228/KTSZ.2025.3.5
Section
Articles