Modeling of Active Differential Wet Clutch

Electronic Throttle Control

Linear motor-based seat shaker

Disc-on-disc tribometer


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...



Z. Dabčević, B. Škugor, I. Cvok, J. Deur
Energies, Vol. 17, No. 4, pp. 26, 2024.

J. Soldo, B. Škugor, J. Deur
IEEE Transactions on Control Systems Technology, Vol. 32, No. 2, pp. 581-594, 2024.

I. Cvok, J. Deur, V. Ivanović, Y. Zhang, Y. Fujii
IEEE Transactions on Vehicular Technology, Vol. 73, No. 2, pp. 1957-1973, 2024.

M. Hoić, M. Hrgetić, N. Kranjčević, J. Deur, A. Tissot
Machines, Vol. 12, No. 1, pp. 25, 2024.

L. Pavelko, B. Škugor, J. Deur
10th International Conference on Automation, Robotics, and Applications, Athens, Greece, 2024.

J. Deur, B. Škugor, W. Chen, Y. Zhang, E. Dai
18th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Dubrovnik, Croatia, 2023.

J. Deur, I. Cvok, I. Ratković, J. Topić, J. Soldo, F. Maletić
18th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Dubrovnik, Croatia, 2023.

B. Škugor, J. Topić, J. Deur, V. Ivanović, H. E. Tseng
US patent No. US20230242134A1, 2023.


Latest News

On July 2, 2024, Prof. Joško Deur visited the Faculty of Engineering, University of Rijeka and delivered a lecture on recent ACG research activities in the field of automotive controls.


Ivan Cvok, Ph. D. has become an Adjunct Assistant Professor at the Department of Robotics and Automation of Manufacturing Systems, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb.  


On May 28, 2024, in the Gray Hall (Siva vijećnica) of the Faculty of Electrical Engineering and Computing (FER) in Zagreb, Dr. Davor Hrovat, a retired Henry Ford Technical Fellow, a member of the National Academy of Engineering, and an Adjunct Distinguished Professor at the University of California, San Diego, delivered a lecture titled "AUTOMOTIVE COMPUTER CONTROL SYSTEMS: A RETROSPECTIVE ON THE PAST 40+ YEARS".