Modeling of Active Differential Wet Clutch

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Electronic Throttle Control

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Linear motor-based seat shaker

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Disc-on-disc tribometer

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About

Modern vehicles include more and more control devices in order to increase the overall vehicle performance. Implementation of different power train control systems is aimed at improvement of drivability, emissions, and fuel economy. On the other hand, the application of interactive vehicle dynamics controls can significantly improve the vehicle safety, and increase the ride comfort and handling performance. Using optimal, adaptive, and predictive control strategies leads to increased energy efficiency of different types of electric vehicles and electric vehicle fleet charging systems. Finally, application of advanced artificial intelligence methods facilitates development of driver-assistance systems and future autonomous vehicles. The existence of faithful mathematical dynamic models of automotive components and systems provides conducting different simulation studies and facilitates design of related control system. Since many automotive system variables needed for controls (e.g. engine torque) are not measured in production vehicles, they have to be calculated by real-time estimators. When it is difficult to describe complex, time-varying systems by means of physical models, estimation and also prediction can conveniently be based upon application of methods of machine learning, including deep learning. The research activities of our group are aimed at development of dynamic models, estimators, and control strategies for different power train and vehicle dynamics systems, including those of electric and autonomous vehicles. Most of the developed models, estimators, and controllers are verified experimentally, by using our own experimental setups or based on experimental data provided by our industry partners. The research activities have been conducted through...

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Publications

B. Škugor, J. Deur
Optimization and Engineering, pp. 30, 2025.
Z. Dabčević, J. Deur
Energies, Vol. 18, No. 16, pp. 4440- 4466, 2025.
B. Škugor, L. Grden, J. Deur
Energy Conversion and Management, Vol. 342, pp. 15, 2025.
K. Haramina, B. Škugor, M. Hoić, N. Kranjčević, J. Deur, A. Tissot
Applied Sciences, Vol. 15, No. 15, pp. 31, 2025.
L. Grden, J. Deur, B. Škugor, I. Cvok
20th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Dubrovnik, Croatia, 2025.
L. Grden, I. Cvok, J. Deur
20th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Dubrovnik, Croatia, 2025.
K. Haramina, N. Kranjčević, J. Deur, I. Ruškan, M. Hoić
11th International Congress of Croatian Society of Mechanics (ICCSM), Vodice, Croatia, 2025.
B. Škugor, J. Topić, J. Deur, V. Ivanović, H. E. Tseng
US patent No. US20230242134A1, 2023.
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Latest News

In November 2025, ACG has been granted the research project “Energy-efficient and Predictive Torque Vectoring Control of Electric Vehicles (ENDURO)”, funded through the Institutional Research Call of the Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb.

November 2025

In March 2025, Milan Milutinović defended his doctoral thesis entitled "Modelling and Control of a Magnus Effect-Based Airborne Wind Energy System".

March 2025

On the 8th of October 2024, ACG organized the introductory workshop of the CSF-supported research project "Design of Autonomous Vehicle Active Seat Suspension Mechatronic System (DAVAS)." The workshop featured presentations on the previous related research of the project team, the project structure, goals and methodology, and initial results, along with invited lectures of experts from TU Delft and Rimac Technology.

October 2024
October 2024
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