AUTO407 Vehicle DynamicsIstanbul Okan UniversityDegree Programs Automotive Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Automotive Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: AUTO407
Course Name: Vehicle Dynamics
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi BAŞAR ÖZKAN
Course Lecturer(s): Dr. İSMAİL BAYEZİT
Dr.Öğr.Üyesi GÜNSELİ GÖRÜR
Course Assistants:

Course Objective and Content

Course Objectives: Tire modeling, longitudinal vehicle dynamics, driveline dynamics , lateral vehicle dynamics (kinematic model, bicycle model, stability), suspension modeling (suspension kinematics, camber, quarter car model, half car model, vibration, frequency response), roll dynamics (roll angle, anti-roll bars, roll-over), steering mechanism (ackermann steering) hydraulic boost, electric boost, caster angle, toe angle), trailer dynamics, trailers with steering.
Course Content: 1) Will be able to describe the different types of tire models
2) Will be able to model and simulate vehicle longitudinal and lateral dynamics.
3) Will be able to analyze vehicle suspension systems using frequency analysis
4) Will be able to analyze vehicle suspension mechanisms
5) Will be able to analyze vehicle roll mechanisms

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Will be able to describe the different types of tire models
2) Will be able to model and simulate vehicle longitudinal and lateral dynamics.
3) Will be able to analyze vehicle suspension systems using frequency analysis
4) Will be able to analyze vehicle suspension mechanisms
5) Will be able to analyze vehicle roll mechanisms
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) • Introduction of the course. -
2) • Longitudinal vehicle model • Simulation of the longitudinal vehicle model -
3) • Frequency response review • Basic quarter car model equation derivation • Frequency response of basic quarter car model -
4) • Full quarter car model equation derivation • Frequency response of full quarter car model -
5) • Vehicle roll model equation derivation • Vehicle pitch model equation derivation • Frequency response vehicle roll and pitch models -
6) • Linear tire model • Nonlinear tire model • Dugoff tire model -
7) • Kinematic steering vehicle model -
8) • Single track vehicle model • Stability of vehicle model • Oversteer, understeer, neutral steer vehicle response -
9) Midterm -
10) • Types of suspension systems • Four bar linkage review • Suspension kinematics (toe, caster and camber) • Roll center -
11) • Ackermann steering kinematics • Road width requirement during steering • Power steering • Electric steering -
12) • Vehicle roll-over -
13) • Trailer dynamics • Trailer stability • Trailers with steering -
14) • Project presentations -
15) Final -

Sources

Course Notes / Textbooks: 1. R. Rajamani, Vehicle Dynamics and Control, Springer Verlag, Berlin, 2012..
2. U. Kiencke, L. Nielsen, Automotive Control Systems for Engine, Driveline and Vehicle, 2nd Edition, Springer Verlag (SAE), Berlin, 2005.
References: Bulunmamaktadır.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. 3
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. 4
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. 3
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing. 4

Learning Activity and Teaching Methods

Expression
Lesson
Reading
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Application

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 3 4 12
Study Hours Out of Class 10 10 100
Midterms 1 8 8
Final 1 21 21
Total Workload 141