Peter Gulyas

57219416642

Publications - 3

Evaluating the Effectiveness of Autorouting in PCB Design †

Peter Gulyas

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This research aims to determine an optimized set of parameters for Altium Designer’s built-in autorouting function when applied on two- or more-layer printed circuit board (PCB) designs. An experimental approach is employed, creating a specific PCB layout with pre-placed components. The autorouting function is utilized to generate trace connections between components, with different parameter settings being tested to assess their impact on routing quality, efficiency, and speed. Routing time will be a key metric measured during this evaluation. The resulting autorouted designs will then be compared to a manually routed PCB designed by an engineer, considering factors such as routing neatness and adherence to design rules. This research aims to determine the effectiveness of the autorouting tool in PCB designs while potentially reducing design time.

Open Access: Yes

DOI: 10.3390/engproc2024079060

Self-Driving Vehicle Sensors from One-Seated Experimental to Road-legal Vehicle

Ernö Horváth Zoltán Szeli Péter Korös Gábor Szakállas Peter Gulyas Zoltan Pusztai

Publication Name: Ines 2020 IEEE 24th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2020-07-01

Volume: Unknown

Issue: Unknown

Page Range: 97-101

Description:

Our university is determined to research and educate self-driving and autonomous technology. These two field require different necessities and attitude. In his paper we would like to summarize the migration from a road-legal vehicle to a self-developed, one-seated vehicle. We will describe the challenges of the migration process and of course how to overcome these challenges. The current paper also proposes recommendations and use-cases regarding self-driving vehicle sensory system.

Open Access: Yes

DOI: 10.1109/INES49302.2020.9147181

Beyond Lithium: Evaluating Sodium-Ion Batteries for the Next Generation of Electric Vehicles †

Peter Gulyas

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Sodium-ion batteries (SIB) are gaining attention as a sustainable, cost-effective alternative to lithium-ion technology in electric vehicles (EVs), driven by concerns over lithium’s scarcity, high costs, and environmental impact. This study explores the feasibility of SIBs through a theoretical analysis of recent advancements in chemistry, materials, and electrochemical performance. It compares key factors such as energy density, charge cycles, safety, cost-effectiveness, and supply chain sustainability. While sodium-ion batteries currently offer lower energy density and shorter cycle life, they benefit from abundant raw materials and more sustainable production. Recent breakthroughs in electrode and electrolyte design show promise for improved efficiency and longevity. Sodium-ion technology is not yet a full replacement for Li-ion batteries but presents a viable option for low-cost EVs and stationary storage.

Open Access: Yes

DOI: 10.3390/engproc2025113041