Advanced Vehicle Systems (ME 441)

2020 Spring
Faculty of Engineering and Natural Sciences
Mechatronics(ME)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Tuğçe Yüksel tyuksel@sabanciuniv.edu,
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English
Undergraduate
--
Formal lecture
Interactive,Communicative,Project based learning
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CONTENT

1. Introduction a. History b. Introduction to different systems c. Comparison to conventional vehicles, advantages d. Current situation (technology, market, emission benefits) 2. Vehicle Dynamics and Performance Fundamentals, Modelling a. Longitudinal Dynamics b. Propulsion and Breaking c. Handling d. Ride Comfort 3. Powertrains a. Components b. Configurations i. Electric Vehicle ii. Hybrid Electric Vehicles (series, parallel, split configurations) c. Regenerative Braking 4. Batteries a. Basics/Fundamentals b. Types, differences, advantages/disadvantages c. Battery modeling d. Battery Management Systems 5. Internal Combustion Engines a. ICE fundamentals b. Types c. Fuel Economy d. Emission control 6. Alternative Energy Sources a. Fuel Cells i. Fundamentals ii. Types iii. Hydrogen Storage b. Supercapacitors and Ultracapacitors 7. Electric Motor a. DC Motors b. Induction Motors c. Switch Reluctance Motors d. Control Basics

OBJECTIVE

This course aims to provide basic concepts towards understanding hybrid and electrified vehicles.It aims to provide the students the technical fundamentals to build models and perform simplified dynamics and control analyses.

LEARNING OUTCOME

Identify different electrified powertrain alternatives.
Understand the working principles and challenges of batteries, fuel cells and super/ultra capacitors.
Understand the working principles of di erent electric motors, their advantages and
disadvantages for being used in electri ed vehicles.
Create simpli ed vehicle dynamics and performance models in Matlab.
Be able explain the economic, environmental and social advantages and disadvantages of alternative vehicle technologies.

PROGRAMME OUTCOMES


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 4

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 4


1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 3

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 1

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 1

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 2


1. Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 5

2. Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 3


1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1


1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 1

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 1

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 1


1. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. or (b) Design and analyze communication networks and systems, signal processing algorithms or software

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 30
Midterm 30
Participation 5
Group Project 20
Homework 15

RECOMENDED or REQUIRED READINGS

Readings

Iqbal Husain, Electric and Hybrid Vehicles-Design Fundamentals,2nd Edition, CRC
Press, 2011.

Amir Khajepour, Saber Fallah, Avesta Goodarzi, Electric and Hybrid Vehicles -
Technologies, Modeling and Control: A Mechatronic Approach, Wiley, 2014.

James Larminie, John Lowry, Electric Vehicle Technology Explained, Wiley, 2004.

Gianfranco Pistoia, Electric and Hybrid Vehicles-Power Sources, Models, Sustainability,
Infrastructure and the Market, Elsevier, 2010.