Vehicle Dynamics and Transmission Technologies (GAJABAN-JARMHAJT-1)

Basic data
Name and type of the study programme
Vehicle Engineering, undergraduate program
Curriculum
2023
Classes / consultation hours
2 + 1 + 0 (L+S+Labs)
Credits
4 credits
Theory – Practice
Theory: 67%, Practice: 33%
Recommended semester
Semester 4
Study mode
full-time
Prerequisites
General Mechanics
Evaluation type
Mid-term evaluation
Course category
Compulsory
Language
English
Instructors
Responsible instructor
Dr. Balogh Levente
Responsible department
Innovatív Járművek és Anyagok Tanszék
Instructor(s)
Dr. Balogh Levente
Checked by
Kelemen János
Course objectives

The aim of the course is to build up dynamic models of different vehicle subsystems using the systematic modelling methodology and Matlab/Simulink.

Course content
Lectures

Dynamic models of vehicle chassis systems including vehicle engines, batteries, electric engines, mechanical transmissions, steering, suspension and wheel brakes. Modelling of friction, fluid dynamics. Parameter identification and model simplification.

Seminars

Matlab/Simulink implementation of concentrated parameter models

Acquired competences
Knowledge

He or she is familiar with the terminology, key concepts, and theories related to his or her field. He or she has a comprehensive understanding of the methods used in his or her field for acquiring knowledge and solving problems.

Skills

Is able to plan, organize, and carry out independent study.

Attitude

He/she makes an effort to work efficiently and to high standards.

Autonomy and responsibilities

In carrying out their professional duties, they also collaborate with qualified professionals in other fields (primarily technical, economic, and legal).

Additional professional competences

The student will become familiar with the systematic modelling methodology and the critical thinking needed for the model verification. Base practice will be acquired in the usage of the physical conservations laws used in the automotive development, and in the implementation and execution of the mathematical representation of the models in Matlab/Simulink software environment.

Requirements, evaluation and grading
Mid-term study requirements

During the semester, one final examination will be written and verbally defended, which can be corrected or made up once. A satisfactory result in the final examination is a prerequisite for obtaining a satisfactory mid-semester grade. The mid-term mark is the final examination mark.

Generative AI usage

Use of GAI tools is fully permitted, provided their use is properly cited and does not compromise achieving the learning outcomes defined in the course description.

Study aids, laboratory background

Presentation of the lessons and corresponding Matleb/Simulink examples Mathworks Academia, https://www.mathworks.com/academia.html?s_tid=gn_acad

Readings
Compulsory readings

Dr. Bereczky, Ákos, Dr. Varga, Zoltán: Motor és erőátviteli rendszerek mechatronikája, ISBN 978-963-313-172-5

Recommended readings

K. M. Hangos and I T. Cameron: PROCESS MODELLING AND MODEL ANALYSIS, Academic Press, 2001.