Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Vehicle simulation and optimisation
2. Subject name in Hungarian Járműszimuláció és optimálás
3. Code BMEKOVRM638 4. Evaluation type mid-term grade 5. Credits 5
6. Weekly contact hours 2 (10) Lecture 2 (11) Practice 0 (0) Lab
7. Curriculum
Vehicle Engineering MSc (J)
 8. Role
Specialization (sp) at Vehicle Engineering MSc (J)
9. Working hours for fulfilling the requirements of the subject 150
Contact hours 56 Preparation for seminars 12 Homework 0
Reading written materials 60 Midterm preparation 22 Exam preparation 0
10. Department Department of Aeronautics and Naval Architectures
11. Responsible lecturer Dr. Zobory István
12. Lecturers Dr. Zobory István
13. Prerequisites  
14. Description of lectures
The real vehicle system and its investigation model. The discrete and distributed parameter models, hybrids. Formulation of the system model giving the basis of the simulation procedura. Typical techniques: linearization, considering the non-linearities. Parameter space, state space, and excitation space. The stair-like simulation technology. Possibilities for the solution of the system equations: time-domain and frequency-domain analyses. Numerical solutions by using digital simulation. Special solvers for differential equations. Real-time simulations. Prediction of the motion and loading conditions of vehicles. Statistical analysis of the simulation results. Stochastic simulation. The problem of system optimization. Selection of the optimization objective function, action-parameters and constraint conditions. Analytical and numerical optimization techniques. Problems leading linear programming (LP). Algorithm of the generalized gradient method . Procedure in case of a random variable valued objective function (stochastic field).
15. Description of practices
Solving tasks connected with the theoretical material. Application and comparison of the linearization methods. Model construction. Comparison and evaluation of the solutions given by the different system prameters.
16. Description of labortory practices
 
17. Learning outcomes
A. Knowledge
  • Understands and applies the mathematical and scientific principles and procedures of vehicle simulation and optimization.
  • Understands and can apply in a wide circle the theories and terminologies elaborated for professional area of vehicle simulation and optimization.
  • Knows and understands the basic facts, limits and development possibilities of the vehicle simulation and optimization.
  • In details knows and understands the modeling methods of the vehicle simulation and optimization.
B. Skills
  • Able to apply in innovative way the required mathematical and scientific principles and procedures for solving the problems connected with the vehicle simulation and optimization.
  • Able to apply, to analyze and to evaluate the methods applied in the field of the vehicle simulation and optimization.
  • Shows ability to apply integrated knowledges in the field of the vehicle simulation and optimization.
C. Attitudes
  • Open and receptive to know and to accept the developments and innovations which are taken place on the field of the vehicle simulation and optimization. The sense of vocation is depth.
  • Accepts the professional and ethical values-system connected with the professional area of the vehicle engineering.
  • Pursuing to use complex and on system-oriented mentality based approach to the processes.
D. Autonomy and Responsibility
  • Pro-activity in professional work, the self-standing selection and application of the solution methods.
  • Making decision circumspectly and responsibility.
18. Requirements, way to determine a grade (obtain a signature)

The criterion of signature is both the active participation at the class (attitude), and during the semester successfully written two midterm tests (knowledge, ability, autonomy). In the fields of attitudes and autonomy the results achieved in the semesters are included in the final classification by weight 50%. At the end of semester there is an examination (knowledge, ability, attitude).
19. Opportunity for repeat/retake and delayed completion
Possibility to refit the midterm exams, to repeat the examination, properly to the Study and Exam Regulations.
20. Learning materials
Zobory i.: Járműszimuláció és optimálás. Deparment's publication.. Bp. 2000.
Department's publication about of special simulation problems of the vehicle systems.
Effective date 10 October 2019 This Subject Datasheet is valid for Inactive courses