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From Electric to Hydrogen Vehicles: Master’s Thesis Pushes the Boundaries of Transportation Simulation

12. 11. 2025 News
How much energy does a vehicle really consume while driving, and how can this consumption be accurately determined for different types of propulsion systems? This was the focus of the master’s thesis by Ing. Tomáš Kapusňák, a recent graduate of the Computer Science master’s program at the Faculty of Electrical Engineering and Computer Science, VSB – Technical University of Ostrava.
From Electric to Hydrogen Vehicles: Master’s Thesis Pushes the Boundaries of Transportation Simulation

His thesis ranked among the 16 best projects in this year’s international competition for young computer scientists, IT SPY 2025. 

Under the supervision of Ing. David Seidl, Ph.D., he developed a web application for simulating and visualizing vehicle energy consumption. His work builds on research in electromobility but also expands the model to include hydrogen-powered vehicles, which represent one of the promising paths toward sustainable transportation. Hydrogen offers longer range, lower weight compared to batteries, and fast refueling. These advantages make hydrogen technologies an attractive alternative to battery systems, especially in logistics and heavy transport.

“My goal was to create a practical tool that helps developers and companies analyze, test, and plan the energy efficiency of vehicles,” explains Tomáš Kapusňák.

The model became part of a broader project focused on developing and testing a modular system for simulating hydrogen vehicle consumption, carried out in cooperation with experts from ENET Centre, the Department of Computer Science, and the Research Energy Centre (VEC).

As part of his thesis, Tomáš created a user-friendly web application that enables users to simulate a selected vehicle’s journey on any route and instantly visualize the results through clear graphs. Users can modify various parameters, compare scenarios, and observe how changes affect energy consumption. The application is based on a physics-based model grounded in classical mechanics, accounting for key factors such as vehicle weight, engine power, air resistance, route gradient, acceleration, and drivetrain efficiency. This allows the tool to calculate the vehicle’s energy demands in real time and display them visually.

Tomáš Kapusňák’s master’s thesis demonstrates how Computer Science students can apply their knowledge in practical projects, transforming theoretical insights into tangible technological solutions — in this case, in the field of sustainable transport and mobility.

The full thesis is available in the DSpace repository: https://dspace.vsb.cz/items/609b3763-d79d-4408-8dd2-01358d203cf7