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, W. Chen, Y. Zhang, E. Dai
Optimization and Engineering, pp. 28, 2024.
K. Haramina, N. Kranjčević, M. Hoić, J. Deur, A. Tissot
Transactions of FAMENA, Vol. 48, No. 3, pp. 21-35, 2024.
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.
B. Škugor, J. Deur, V. Ivanović, H. E. Tseng
6th International Conference on Smart Systems and Technologies (SST), Osijek, Croatia, 2024.
B. Škugor, J. Deur
19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Rome, Italy, 2024.
B. Škugor, J. Deur
19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Rome, Italy, 2024.
B. Škugor, J. Topić, J. Deur, V. Ivanović, H. E. Tseng
US patent No. US20230242134A1, 2023.
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Latest News

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

On September 25-26th, 2024, Asst. Prof. Branimir Škugor attended the Hi-Drive Project 2nd Summer school “Navigating the Future with Advanced and Safe Automated Driving” held in Athens, Greece, where he presented a poster with the title “Stochastic Model Predictive Control of an Autonomous Vehicle Approaching Unsignalized Crosswalks with Pedestrians”.

September 2024

On July 22nd, 2024, Prof. Joško Deur visited the Czech Technical University in Prague (CTU Prague), Czech Republic. He delivered two lectures: "Energy-efficient Straight-line Driving Torque Vectoring for Electric Vehicles with Multiple Motors and Disconnect Clutches" and "An Overview of Recent Automotive Control Activities at the University of Zagreb", and discussed opportunities for future joint collaborative projects.

July 2024
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