| Sub-Project name: | Electromobility, selfdriven vehicles and ecological transport systems |
| Work package: | II. Smart Cities and intelligent transport systems |
| ID code: | TN01000024/11 |
| Duration: | 01/2019 – 12/2022 |
| Principal investigator: | prof. RNDr. Václav Snášel, CSc. (TUO VSB) |
| Participants: | Czech Technical University in Prague (CTU) – Faculty of Transportation Sciences (FTS) Brno University of Technology (BUT) – Central European Institute of Technology, RG Cybernetics in Material Science (CEITEC) VSB – Technical University of Ostrava (VSB – TUO) SKODA AUTO a. s. – Technical development department |
| Results: | New Concepts of Automotive Electronic Systems, O, 2020 New concepts of automotive assistance systems, O, 2021+ |
Abstract:
This research task aims to develop models of the most important systems needed to address selected challenges of smart mobility. It focuses on self-driven vehicles, environmentally friendly transport systems, and electromobility. The work is divided into three subtasks:
Self-driven vehicles – Electronic systems of self-driven vehicles require specific co-operation of a large number of conventional systems, and integration of complex electronic sensor systems to enable autonomous driving. This requirement is further amplified by the need to achieve the same high level of autonomy for passenger cars and cargo trucks. Moreover, the development of applications for self-driven vehicles must respect the elements of functional safety and automotive SPICE. For the simulations in this application, many new models of sensor systems and perception of the environment, as well as new sophisticated control systems, must be developed.
Environmentally friendly transport systems – Research in the field of vehicles with the conventional powertrain can contribute to their efficiency, facilitate the optimization of their operation, help to reach the target operational properties, and thus act to reduce emissions. In order to increase the environmental efficiency of transport systems, optimization of the combustion processes management must be done. This can be achieved by implementing artificial intelligence models into vehicle electronic control systems. The real constants that are stored in the memory of the controllers can be replaced by neural network models which will dynamically adapt to actual operational conditions. The application of the Artificial Intelligence carries greater demands on the computing power of microcomputers in the control units.
Electromobility – Nowadays, fully electric vehicles are increasingly used in many application areas. The increasing complexity of such applications introduces the need for new electronic control systems. At the same time, the control systems must respect various safety requirements to achieve functional safety of vehicles’ operations. HIL testing is one of the principal approaches that will be used to test the hardware and software platforms of electronic control systems for fully electric vehicles. It enables efficient, managed, and repeatable verification and allows the use of test cases which could not be induced in practical road conditions, or which would be very difficult to implement.
This project is supported by the Technology Agency of the Czech Republic within the programme National Centres of Competence 1: Support programme for applied research, experimental development and innovation.