EE310 Introduction to E-Mobility
EE310 Introduction to E-Mobility
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Electrical and Electronics Engineering
Nasser Badawi
Course Lecturer
Course Objectives
The course aims at equipping the students with an understanding the fundamental of the Electro Automotive Engineering; Electric Vehicle Top Level Concept, System Architecture, Functional Safety Analysis, Hardware Architecture; Software Architecture; The understanding of the International Automotive Standards; and finally, engagement with a real industrial System Design.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
This is an introductory course that scans over various technologies of electric cars, so we will be having class notes as primary source, books to refer to: Electric Cars: The Ultimate Guide: 2021 Edition, Hybrid Electric Power Train Engineering and Technology: Modeling, Control, and Simulation IGI Global 2013
Additional Literature
Teaching Methods
Class discussion
Reading material
HW assignments
And tutorials
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction, Contents, Automotive History, Electrical Vehicle Structure, State-of-the-Art | Notes |
| 2 | EV Components: Top Down Concept; Inverter, EM, Transmission, On-board Charger, DC-DC Converter, HV Battery, BMS, Grid Connection…. | Notes |
| 3 | System Architecture: V-Model, OEM Requirements, QM System Functions, Safety System Function, Product Safety. | Notes |
| 4 | System Architecture: Functional Safety Analysis (ISO 26262, SEooC, HARA, safety Goals, ASIL A to ASIL D, FSC, TSC, FTA, FMEDA) | Notes |
| 5 | Hardware Architecture: Hardware Safety Concept, D-FMEA, FMDEA, HV Insulation Coordination, … | Notes |
| 6 | Hardware Architecture: Power Unit Design (SiC MOSFET, IGBTs, Gate Driver, System Supply Voltage, DC link, Active Discharge, HV AC and DC | Notes |
| 7 | Hardware Architecture: Control Unit Design (AURIX lockstep, SBC, Safe State Logic, CAN Communication, Resolver) | Notes |
| 8 | Midterm exam | Notes |
| 9 | Hardware Architecture: Filter Unit Design (DC Filter Design) | Notes |
| 10 | Software Architecture: Control and Modulation Methods | Notes |
| 11 | Software Architecture: QM Software, Safety Software, BL Software, ADAS. | Notes |
| 12 | Software Architecture: Microprocessor Techniques, MC, DSP,FPGA | Notes |
| 13 | Software Architecture: Torque Control of AC Machine, Safe States, System Stability | Notes |
| 14 | Automotive Standards: UL840, ICE 64664-1, ISO 26262, LV123, LV124 | Notes |
| 15 | QA | Notes |
Course Schedule (All Sections)
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Friday | 11:00 - 12:00 |
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes :
Midterm
AI: Not AllowedAlignment with Learning Outcomes :
Project
AI: Not AllowedAlignment with Learning Outcomes :
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture hours
42 hours ⏳ (14 week × 3 h)
Home study
40 hours ⏳ (10 week × 4 h)
Midterm exam study
8 hours ⏳ (2 week × 4 h)
Final exam study
10 hours ⏳ (2 week × 5 h)
Term project/presentation
50 hours ⏳ (5 week × 10 h)
150 Total Workload Hours
6 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [EE310] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Mar 03, 2026 | International University of Sarajevo
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| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| EE310 | Introduction to E-Mobility | 3 | 0 | 6 | ||||||
| Prerequisite | EE201 | It is a prerequisite to | - | |||||||
| Lecturer | Nasser Badawi | Office Hours / Room / Phone | Friday: 11:00-12:00 |
|||||||
| nbadawi@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The course aims at equipping the students with an understanding the fundamental of the Electro Automotive Engineering; Electric Vehicle Top Level Concept, System Architecture, Functional Safety Analysis, Hardware Architecture; Software Architecture; The understanding of the International Automotive Standards; and finally, engagement with a real industrial System Design. | |||||||||
| Textbook | This is an introductory course that scans over various technologies of electric cars, so we will be having class notes as primary source, books to refer to: Electric Cars: The Ultimate Guide: 2021 Edition, Hybrid Electric Power Train Engineering and Technology: Modeling, Control, and Simulation IGI Global 2013 | |||||||||
| Additional Literature | ||||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Class discussion, reading material, HW assignments, and tutorials | |||||||||
| Teaching Method Delivery | Online | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction, Contents, Automotive History, Electrical Vehicle Structure, State-of-the-Art | Notes | ||||||||
| Week 2 | EV Components: Top Down Concept; Inverter, EM, Transmission, On-board Charger, DC-DC Converter, HV Battery, BMS, Grid Connection…. | Notes | ||||||||
| Week 3 | System Architecture: V-Model, OEM Requirements, QM System Functions, Safety System Function, Product Safety. | Notes | ||||||||
| Week 4 | System Architecture: Functional Safety Analysis (ISO 26262, SEooC, HARA, safety Goals, ASIL A to ASIL D, FSC, TSC, FTA, FMEDA) | Notes | ||||||||
| Week 5 | Hardware Architecture: Hardware Safety Concept, D-FMEA, FMDEA, HV Insulation Coordination, … | Notes | ||||||||
| Week 6 | Hardware Architecture: Power Unit Design (SiC MOSFET, IGBTs, Gate Driver, System Supply Voltage, DC link, Active Discharge, HV AC and DC | Notes | ||||||||
| Week 7 | Hardware Architecture: Control Unit Design (AURIX lockstep, SBC, Safe State Logic, CAN Communication, Resolver) | Notes | ||||||||
| Week 8 | Midterm exam | Notes | ||||||||
| Week 9 | Hardware Architecture: Filter Unit Design (DC Filter Design) | Notes | ||||||||
| Week 10 | Software Architecture: Control and Modulation Methods | Notes | ||||||||
| Week 11 | Software Architecture: QM Software, Safety Software, BL Software, ADAS. | Notes | ||||||||
| Week 12 | Software Architecture: Microprocessor Techniques, MC, DSP,FPGA | Notes | ||||||||
| Week 13 | Software Architecture: Torque Control of AC Machine, Safe States, System Stability | Notes | ||||||||
| Week 14 | Automotive Standards: UL840, ICE 64664-1, ISO 26262, LV123, LV124 | Notes | ||||||||
| Week 15 | QA | Notes | ||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | Not Allowed | ||
| Semester Evaluation Components | |||||
| Midterm | 1 | 30 | Not Allowed | ||
| Project | 1 | 30 | Not Allowed | ||
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 14 | 42 | Home study | 4 | 10 | 40 | |||
| Midterm exam study | 4 | 2 | 8 | Final exam study | 5 | 2 | 10 | |||
| Term project/presentation | 10 | 5 | 50 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||