Vehicle electronics for driving assistance (3cr)

Objective

Upon completion of the course, the student will be able to:
- explain the operating principles of electronic dynamic control systems in vehicles and mobile machinery (ABS, TCS, ESC)
- explain the structure and control of mechatronic suspension systems (electronic damping, active stabilisation)
- explain the main ADAS sensor technologies: radar, camera, lidar and ultrasonic sensors
- explain key ADAS functions (ACC, AEB, LKAS, SLI/TSR, BLIS, RCTA) and their functional limitations
- explain the principles and automation levels of autonomous driving (SAE J3016)
- explain the fundamentals of automation and control systems in mobile machinery (mobile PLC, electrohydraulics, J1939/ISOBUS)
- explain the basic principles of diagnostics and calibration in vehicle and mobile machinery systems
- search for and utilise up-to-date technical information related to driver-assistance and automated systems

Content

- Electronic dynamic control systems in vehicles and mobile machinery (ABS, TCS, ESC)
- Mechatronic suspension systems: electronic damping, active stabilisation
- ADAS sensors: radar, camera, lidar, ultrasonic sensors; basics of sensor fusion
- ADAS functions: ACC, AEB, LKAS, SLI/TSR, BLIS, RCTA, parking assistance
- Autonomous driving principles and automation levels (SAE J3016)
- Mobile machinery automation: mobile PLC, electrohydraulics, J1939/ISOBUS
- Basic principles of diagnostics and calibration of vehicle and mobile machinery systems shock absorption

Qualifications

- Basics of vehicle electronics or equivalent knowledge and skills
- Basics of car electric systems or equivalent knowledge and skills

Assessment criteria, satisfactory (1)

The student recognises the key principles of driver-assistance systems and mechatronic suspension and describes the basics of sensors and diagnostics. Uses information sources with guidance.

Assessment criteria, good (3)

The student explains the operating principles of dynamic control, ADAS and mobile machinery systems and applies diagnostic and calibration methods in typical situations. Uses up-to-date information independently.

Assessment criteria, excellent (5)

The student explains systems as integrated entities, evaluates the behaviour of sensors, ADAS and mobile machinery automation in different situations and justifies the application of diagnostic and calibration principles in theoretical examples. Justifies solutions and uses information critically.

Materials

- Robert Bosch: Automotive Handbook
- Field-related publications and maintenance literature
- Lecturer’s material