The aim of the course is to build up dynamic models of different vehicle subsystems using the systematic modelling methodology and Matlab/Simulink.
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
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
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
1st position: Use of GAI tools is not permitted for solving assignments. This means GAI tools cannot be used to complete formative or summative assessments, and using GAI constitutes academic misconduct. The use of AI tools for spelling and grammar checking does not fall under this prohibition.
Study aids, laboratory background
Readings
Compulsory readings
1. K. M. Hangos and I T. Cameron: PROCESS MODELLING AND MODEL ANALYSIS, Academic Press, 2001. 2. Mathworks Academia, https://www.mathworks.com/academia.html?s_tid=gn_acad 3. Dr. Bereczky, Ákos, Dr. Varga, Zoltán: Motor és erőátviteli rendszerek mechatronikája, ISBN 978-963-313-172-5
Recommended readings
1. K. M. Hangos and I T. Cameron: PROCESS MODELLING AND MODEL ANALYSIS, Academic Press, 2001. 2. Mathworks Academia, https://www.mathworks.com/academia.html?s_tid=gn_acad 3. Dr. Bereczky, Ákos, Dr. Varga, Zoltán: Motor és erőátviteli rendszerek mechatronikája, ISBN 978-963-313-172-5