Electric Mobility

Code:

M.EEC027

Acronym:

MOBE

Keywords
Classification	Keyword
OFICIAL	Automation and Control

Instance: 2021/2022 - 1S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Electrical and Computer Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M.EEC	16	Syllabus	2	-	6	52

Teaching language

Portuguese

Objectives

Nowadays serious problems for human health, the environment and hydrocarbon resources, as well as global warming
due to GHG emissions, are caused due to the huge number of ICE automobiles in the world. It now clear that an effort as
to be made in order to evolve to more efficient and eco-friendly or environmentally friendly vehicles. Also the UE has
recently legislated in order that by the year 2025 CO2 average reduction in new car fleet must be 20% and by the year
2030 a 40% CO2 reduction must be achieved. In order to meet this challenges electric and hybrid electric vehicles are the
promising solution for this problem. So this course starts by giving students the fundamental knowledge, the theoretical
bases, and design methodologies associated to the conventional internal combustion engine. Then battery electrical,
hybrid and fuel cell vehicles control strategies and power train configurations are mathematical analysed in order to its
modelling and simulation. Drive train architectures for ICE, BEV, HEV and FCHEV as well as energy charging, storage and
propulsion systems are also presented.

Learning outcomes and competences

At the end of the course Students should be able to identify the principal components associated to ICE motors as well
as to explain its behaviour and how its control influences tailpipe emissions. Next they must be able to identify and create
layouts for BEVs, HEVs and FCHEVs. So they must be able to list all the components involved and understand its
fundamental principles. Furthermore, they will be able to apply the acquired knowledge in order to model and simulate
the various topologies associated to electric and hybrid drive trains. At the end of the course Students should be able to
analyse and evaluate questions related to the charging, storage and associated infrastructures.
In the context of Conceiving, Designing, Implementing and Operating (CDIO) real-world systems and products Students  should acquire technical knowledge concerning electrical mobility CDIO 1.2. (core engineering fundamental knowledge)
and reinforce its personal and professional skills namely CDIO 2.1.1. (Problem Identification and Formulation), CDIO 2.1.2.
(Modelling) and CDIO 2.1.5. (Solution and Recommendation). Also they must do experimental work CDIO 2.2 and team
work CDIO 3.1.

Working method

Presencial

Program

1 – History of ICEs, EVs, HEVs and Fuel Cell Vehicles.
2- Nitrogen Oxides, Carbon Monoxide, Unburned HCs and other pollutants due to ICE tailpipe emissions and air
pollution.
Global warming due to GHG emissions.
3- Fundamentals of Vehicle Propulsion and Brake. Associated Dynamic Equations and its solution.
4- Fundamental principles of Spark-Ignited IC Engines operation and control. Modeling and simulation of SI ICEs.
5- EV configuration, performance and energy consumption. Modeling and simulation of EVs.
6- Concept and architectures of Hybrid Electric Drive Trains. HEVs modeling and simulation.
7- Power sources and energy storage. Electrochemical Batteries, Fuel Cells, ultra capacitors and the Hybridization of
Energy Storage. Modeling and simulation.
8- Regenerative breaking principles. Modeling and simulation

Mandatory literature

Mehrdad Ehsani, Yimin Gao, Stefano Longo, Kambiz Ebrahimi; Modern Electric, Hybrid Electric, and Fuel Cell Vehicles, CRC Press, 2018. ISBN: ISBN 9781498761772
Dirk Fornahl (Editor), Michael Hülsmann (Editor); Electric Mobility Evolution, Theoretical, Empirical and Political Aspects, Springer; 1st ed. 2021 edition (May 13, 2021), 2021. ISBN: ISBN-13: 978-3319058030 ISBN-10: 3319058037
Iqbal Husain; Electric and Hybrid Vehicles: design fundamentals, CRC Press, 2021. ISBN: ISBN 9780367693930
Institution of Mechanical Engineers (Author); Sustainable Vehicle Technologies: Driving the Green Agenda., Institution of Mechanical Engineers, 2013. ISBN: ISBN-13: 978-0857094568 ISBN-10: 0857094564

Complementary Bibliography

Ali Emadi; Handbook of automotive power electronics and motor drives. ISBN: 0824723619 (alk. paper)
Emadi, Ali; Handbook of automotive power electronics and motor drives [Documento electrónico], CRC Press, 19/12/2017, 2017

Teaching methods and learning activities

Course has a theoretical part and a Lab self-working part.
The theoretical lessons brief Students with the theoretical background supported in real world examples in an active
learning approach.
In Lab self-working lessons Students will apply theoretical knowledge in order to do simulation models, implemented in
MATLAB/SIMULINK, or/and, if possible, do practical experiments.

Software

MATLAB
PSIM

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Participação presencial	10,00
Teste	50,00
Trabalho laboratorial	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	52,00
Frequência das aulas	26,00
Trabalho escrito	32,00
Trabalho laboratorial	52,00
Total:	162,00

Eligibility for exams

1. Lab self-working part, Lab,40%.
2. Final Exam, EF=50%.
3. Homework, HW, 10%.

Grading Calculation formula of final grade.
Final Mark will be based on the following formula:
0.5*FE+0.4*Lab+0.1*HW

All components of the course will be assessed in a scale of 0 out of 20
FE: Final Exam.
Lab: Practical Assignment (Laboratory).
HW: Homework.
Students have to reach a minimum mark of 8 out of 20 in the final exam and in the practical assignment, to complete the course.

Calculation formula of final grade

Final Mark will be based on the following formula:
0.5*FE+0.4*Lab+0.1*HW