Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
1. can recognise modern mobile machines and vehicles, both heavy and light duty.
2. can design and simulate vehicles, such as electric and hybrid vehicles.
3. can perceive a modern vehicle system as a sum of subsystems and study their functionalities.
4. can work in a team that designs and analyses a vehicle system.
5. can evaluate and compare different modern vehicle designs and models, including the comparison of own design to scientific state-of-the-art.
Schedule: 26.10.2020 - 02.12.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Kari Tammi, Kari Tammi
Teacher in charge (applies in this implementation): Kari Tammi, Kari Tammi
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Week: Lecture, Exercise, Other
1. Introduction to modern vehicles, electro-hybrid powertrain exercises
2. Comparison of alternative powertrain, powertrain modelling.
3. Sensitivity of modern vehicles to various conditions, uncertainty quantification.
4. Batteries as energy storage systems, battery and charging modelling.
5. Optimisation of vehicle design and control
6. CAN bus communication, no exercise, project presentations
Assessment Methods and Criteria
1. Lecture quiz: weight 20 %
2. Exercises: weight 50 %
3. Grade from project: weight 30 %
To pass the course at least 50 % of the points in all three categories much be achieved. The final grade is defined by the
sum of points of each categories in respect to the weights given above. Peer evaluation may be used in the course.
Learning activity: Workload calculation (hours), Remarks
- Lectures: 6x2h
- Learning portfolio (learning diary): 6x0.5, 3 lecture quizzes
- Computer exercises: 5x8h, MATLAB exercises which include 1,5h of assistance sessions.
- Group work (project): 60h, outcome: report and presentation
- Wrap up (project gala): 3h
Electric Vehicle Technology Explained by Larminie, James; Lowry, John
Electric and Hybrid Vehicles : Technologies, Modeling and Control - A Mechatronic Approach by Khajepour, Amir; Fallah, M. Saber; Goodarzi, Avesta
Substitutes for Courses
MEC-E5006 Vehicle Mechatronics
Required: Proven skills at scripting (e.g. MATLAB, Python), modelling and simulation.
Recommended courses (not all are needed, but some would be beneficial):
- MEC-E5001 Mechatronic Machine Design 5 cr
- ELEC-E8405 Electric Drives 5 cr
- KON-C2004 Mechatronics Basics 5 cr
- ELEC-C1230 Säätötekniikka 5 cr
- ELEC-C1320 Robotics 5 cr
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure
11 Sustainable Cities and Communities
13 Climate Action