AUTO527 Automotive Electrics and ElectronicsIstanbul Okan UniversityDegree Programs PhD in Mechatronic Engineering (English) with a bachelor's degreeGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
PhD in Mechatronic Engineering (English) with a bachelor's degree
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

General course introduction information

Course Code: AUTO527
Course Name: Automotive Electrics and Electronics
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 10
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department Elective
Course Level:
PhD TR-NQF-HE:8. Master`s Degree QF-EHEA:Third Cycle EQF-LLL:8. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. ÖMER CİHAN KIVANÇ
Course Lecturer(s): Dr.Öğr.Üyesi CAN GÖKÇE
Course Assistants:

Course Objective and Content

Course Objectives: To explain the hybrid and battery powered electric vehicles and modern propulsion systems
Course Content: Introduction to hybrid electric vehicles, history of hybrid and electric vehicles, the social and environmental importance of hybrid and electric vehicles, modern power transmission systems related to energy sources, conventional vehicles, basics of vehicle performance, hybrid drive topologies, power flow control in hybrid drive systems, fuel efficiency analysis Basic electrical concepts, power flow control in the electric drive system, fuel efficiency analysis, hybrid and electric vehicles, DC Motor drives configuration and control, Induction control of motor drive, Permanent magnet motor drives, drives. Battery-based energy storage and analysis, fuel cell-based energy storage and analysis, electric capacitor based energy storage and analysis, Flywheel based energy storage and analysis, hybridization of different energy storage devices. Match of electric machine with combustion engine (ICE), dimensioning of drive motor, dimensioning of power. A Hybrid Electric Vehicle Design (HEV), Battery Powered Electric Vehicle Design (BEV)

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) Student shall gain an ability to design battery powered cars
2) Student shall gain an ability to design hybrid cars
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Introduction to hybrid electric vehicles Course Notes
2) Conventional Vehicles Course Notes
3) The social and environmental importance of hybrid and electric vehicles Course Notes
4) Basics of vehicle performance, hybrid drive topologies Course Notes
5) Basic electrical concepts Course Notes
6) Power flow control in the electric drive system Course Notes
6) Power flow control in the electric drive system Course Notes
7) Power flow control in the hybrid drive system Course Notes
8) Design of propulsion systems Course Notes
9) Energy storage and managment Course Notes
10) Energy storage and managment Course Notes
11) EV Design Course Notes
12) EV Design Course Notes
13) EV Design Course Notu
14) EV Design Course Notes

Sources

Course Notes / Textbooks: Iqbal Hussein, Electric and Hybrid Vehicles: Design Fundamentals, CRC Press, 2003.
Mehrdad Ehsani, Yimi Gao, Sebastian E. Gay, Ali Emadi, Modern Electric, Hybrid Electric and Fuel Cell Vehicles: Fundamentals, Theory and Design, CRC Press, 2004.
James Larminie, John Lowry, Electric Vehicle Technology Explained, Wiley, 2
References: Iqbal Hussein, Electric and Hybrid Vehicles: Design Fundamentals, CRC Press, 2003.
Mehrdad Ehsani, Yimi Gao, Sebastian E. Gay, Ali Emadi, Modern Electric, Hybrid Electric and Fuel Cell Vehicles: Fundamentals, Theory and Design, CRC Press, 2004.
James Larminie, John Lowry, Electric Vehicle Technology Explained, Wiley, 2

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

Program Outcomes
1) Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems
2) Ability to design mechatronic products and systems using the mechatronics approach
3) Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach
4) Ability to communicate effectively and teamwork with other disciplines
5) Understanding of performing engineering in accordance with ethical principles
6) Understanding of using technology with awareness of local and global socioeconomic impacts
7) Approach to knowing and fulfilling the necessity of lifelong learning

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems
2) Ability to design mechatronic products and systems using the mechatronics approach
3) Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach 1
4) Ability to communicate effectively and teamwork with other disciplines
5) Understanding of performing engineering in accordance with ethical principles 1
6) Understanding of using technology with awareness of local and global socioeconomic impacts
7) Approach to knowing and fulfilling the necessity of lifelong learning

Learning Activity and Teaching Methods

Lesson
Project preparation

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Project 1 % 50
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Presentations / Seminar 1 30 30
Project 1 128 128
Final 1 100 100
Total Workload 300