| 1 YEAR | II semester | 6 CFU |
| (from Mechanical) | |
| Vincenzo MULONE Matteo BALDELLI |
A.Y. 2024-25 |
| Code: 80300149 SSD: ING-IND/08 |
INTEGRATED SOLUTIONS FOR SUSTAINABLE MOBILITY AND ENERGY PRODUCTION (C2)
1st year
Electric Propulsion (C2)
| 1 YEAR (Block C2) |
II semester | 6 CFU |
| (from Mechanics – Energetics) | |
| Prof. Marcello PUCCI |
A.Y. 2024-25 |
| Code: SSD: ING-IND/32 |
LEARNING OUTCOMES:
The course aims to provide the students some theoretical instruments necessary for the comprehension and related application of the fundamentals of electric and hybrid electric propulsion systems, with particular emphasis to the on-wheel and ship propulsion.
The course will permit the students to acquire and apply the fundamentals of modelling and control of electric drives for the electric and hybrid electric on-wheel and ship propulsion, beside the supply and storage systems. The issues of the impact of electric vehicles on the power grid will also be discussed, with reference to modern vehicle-to-grid (V2G) and grid-to-vehicle (G2V) technologies.
KNOWLEDGE AND UNDERSTANDING:
In order to improve understanding of the topics, the implementation of drive trains simulation models will be addressed by using Simscape Electrical libraries in the Matlab-Simulink environment. The students will acquire the capability of comprehend and demonstrate the aware knowledge of the behavior of electric and hybrid electric vehicles, with particular reference to their electric propulsion, to the electric motors, power converters and related control systems- to the supply and storage systems. The understanding will be enhanced by the comparison between different types of electric drives, power electronic converters and
related control systems, as well as different types of storage systems. Several kinds of supplies and storage systems will be analyzed as well, with particular emphasis to the fuel
cells supplied vehicles.
APPLYING KNOWLEDGE AND UNDERSTANDING:
At the end of the course students will have to show the ability to independently apply the concepts learned with particular reference to the sizing of the drive train for electric and hybrid electric vehicles, power sources as well as the issues related to the interaction of energy storage on board of vehicles with the distribution network in terms of vehicle-to-grid (V2G) and grid-to-vehicle (G2V).
MAKING JUDGEMENTS:
Students will be able to collect and process independently specialized technical information on the design and control of electric drives as well as on energy storage systems used in electric and hybrid electric propulsion by road and sea and finally verify their validity.
COMMUNICATION SKILLS:
Students will be able to interact with specialists in power electronics and electric drives in order to elaborate the technical information necessary for the development of a design activity to be carried out individually or in groups.
LEARNING SKILLS:
The expertises acquired during the course will allow students to undertake higher-level training courses or apply for specialist technical roles in companies in the sector with a good degree of autonomy.
Prerequisities
It is suggested to have the basic knowledge of Electrical Network Analysis and Power Electronics
SYLLABUS
The course will be articulated in the following way:
– Electric Vehicles
– Hybrid Electric Vehicles
– Electric Propulsion Systems for vehicles
– Series Hybrid Electric Drive Train Design
– Parallel Hybrid Electric Drive Train Design
– Energy Storages (Batteries, Supercapacitors, – Ultrahigh-Speed Flywheels, Hybrid)
– Fuel Cell Vehicles
– Ship propulsion systems
– Vehicle to Grid (V2G) and Grid to Vehicle (G2V)
TEXTS
Educational material provided by the teacher
– John M. Miller, Propulsion Systems for Hybrid Vehicles, IET, 2008
– Iqbal Husain, Electric and Hybrid Vehicles: Design Fundamentals, 2010, CRC Press
– Mehrdad Ehsani, Yimin Gao, Ali Emadi, Modern Electric, Hybrid Electric, and Fuel Cell
Vehicles: Fundamentals, Theory, and Design, 2017, CRC Press
MATHEMATICAL METHODS FOR PHYSICS (D)
| 1 YEAR (Block D) |
1 semester | 8 CFU |
| (from Physics) | |
| Prof. Giuseppe DIBITETTO |
A.Y. 2024-25 |
| Code: 80300141 SSD: FIS/02 https://www.master-mass.eu/s1-mathematical-methods-for-physics/ |
NUMERICAL METHODS FOR ASTROPHYSICS (D)
| 1 YEAR (Block D) |
1 semester | 6 CFU |
| (from Physics) | |
| Prof. Herve Bourdin |
A.Y. 2024-25 |
| Code: 80300139 SSD: FIS/05 |
Wireless Electromagnetic Technologies (C2 opt)
| 1 YEAR (Block C) |
1 semester | 6 CFU |
| (from ICT Internet Engineering) | |
| Prof. Gaetano MARROCCO |
A.Y. 2024-25 |
| Code: 8039528 SSD: ING-INF/02 |
(prerequisite: ELECTROMAGNETIC FIELDS)
On Board Energy Generation and Storage (C2 opt)
| 1 YEAR (Block C2) |
1 semester | 6 CFU |
| Prof. Fabio Matteocci |
A.Y. 2024-25 (new) |
| Code: 80300150 SSD: ING-INF/01 |
The course requires a basic knowledge of nanotechnologies applied to the generation and storage of electric power, as well as a basic understanding of the functioning of solar cells and batteries.
FORMATIVE OBJECTIVES
LEARNING OUTCOMES:
The main objectives of the course are the study of electric power generation and storage systems that can be implemented on vehicles. The lessons, therefore, focus on next-generation photovoltaics, thin-film deposition techniques, storage systems, supercapacitors, and thermoelectricity. The generation and storage technologies will then be studied from an application perspective through case studies.
KNOWLEDGE AND UNDERSTANDING:
Students will be able to:
a) To learn the working principles for energy generation and storage (EGS);
b) To understand and explain the solutions for EGS when applied in vehicles;
c) To solve simple problems concerning the use of design of integrated EGS systems;
d) To know how to design, develop and release a simple EGS system for vehicle integration.
APPLYING KNOWLEDGE AND UNDERSTANDING:
The student will be able to recognize the applicability areas for the various EGS systems. She/He will also be able to apply the knowledge and understanding developed during the course to study and understand recent literature.
MAKING JUDGEMENTS:
Students should be capable of identifying specific design scenarios and applying the most appropriate techniques for EGS. Additionally, they should be able to compare the effectiveness of various EGS systems while evaluating their advantages and disadvantages.
COMMUNICATION SKILLS:
The student will be able to clearly and unequivocally communicate the course content to specialized interlocutors. He will also be able to communicate the main approches to the development of EGS systems. The student will also have a sufficient background to undertake a thesis/research work in EGS applications.
LEARNING SKILLS:
Being sufficiently skilled in the specific field to undertake subsequent studies characterized by a high degree of autonomy.
SYLLABUS
1. Introduction on Nanotechnology: Top Down and Bottom Up Approaches2. Physical, Chemical Deposition, Solution Processing (Working Principle and Applications) 3. Energy Generation: Conventional and Emergent Photovoltaics (Working Principle and Applications).
4. Case of Study: Perovskite solar Cells (Working Principle, Deposition Techniques and applications)
5. Storage: Conventional and Emergent technologies for Batteries
6. Electrical and Chemical Properties of Batteries (Working Principle)
7. System Integration of Energy Generation and Storage solutions
8. Opportunities and Limitations of vehicle-integrated solutions for Generation and Storage 9. Beyond Batteries: Supercapacitors and thermoelectricity
The lecture will be held in the classroom with the projection of slides that will be released to the students at the end of the lecture.
The student will only be admitted to the final exam if they have attended 80% of the course hours.
Electronic Interfaces (block B-opt – E) (since 2022-23)
| 1 YEAR | II semester | 6 CFU |
| Christian Falconi | A.Y. 2022-23 (since) |
| Code: 80300103 SSD: ING-INF/01 |
FORMATIVE OBJECTIVES
LEARNING OUTCOMES:
The goal is to teach the fundamental principles and tools for designing electronic interfaces.
The contents of the course have general validity, but the focus will be on electronic interfaces for mechatronics.
The course is oriented toward design.
KNOWLEDGE AND UNDERSTANDING:
Students will need to know and understand the fundamental principles and tools for the analysis and design of electronic interfaces.
APPLYING KNOWLEDGE AND UNDERSTANDING:
Students will have to demonstrate that they are able to design electronic interfaces.
MAKING JUDGEMENTS:
Students will be able to evaluate the design of electronic interfaces.
COMMUNICATION SKILLS:
The students, in addition to illustrating the fundamental principles and tools for the design of electronic interfaces, must be able to explain each design choice.
LEARNING SKILLS:
Students must be able to read and understand scientific texts and articles (also in English) concerning electronic interfaces.
PREREQUISITES
Thévenin equivalent circuit.
Norton equivalent circuit.
Laplace transform
Fourier transform
Syllabus:
Fundamentals on electronic devices.
Equivalent circuits (mechanic systems, thermal systems,…).
Diode circuits.
Transistor circuits.
Nullors.
Operational amplifiers (op amps).
Universal active devices.
Non-idealities of op-amps and other universal active devices.
Op-amp circuits.
Simulations of electronic circuits (SPICE).
Electronic interfaces.
Circuits for mechatronics (design examples).
Digital Electronics (block B)
| 1 YEAR | I semester | 6 CFU |
| Marco Re |
A.Y. 2021-24 |
| A.Y. 2024-25 | |
| Didatticaweb
Code: 80300061 |
PREREQUISITES
CIRCUIT THEORY, PHYSICS, MATHEMATICAL ANALYSIS
FORMATIVE OBJECTIVES
EDUCATIONAL OBJECTIVES:
The objective of this course is to provide students with the knowledge for the analysis and synthesis of the electronic systems presented during the course and the means for their resolution. The course has both theoretical and practical character, it is therefore important that the student is able to carry out concrete problems, such as those presented during the exercises.
KNOWLEDGE AND UNDERSTANDING:
Students will learn the analysis techniques used in the analysis of electronic systems in different operating regimes, and acquire the necessary knowledge to carry out circuit simulations through different software.
ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: students will be able to evaluate which of the existing methods has to be used to analyze and synthesize the system under consideration with the aim of simplifying the resolution of the problem. Finally, they will be able to apply the software presented to perform the analysis of electronic systems in different operating regimes.
COMMUNICATION SKILLS:
The verification methods implemented will lead the students to 1) know how to quickly choose the methodology to be adopted for solving the proposed problems, and 2) be able to illustrate in a synthetic and analytical way the topics covered by the course using equations and schemes .
LEARNING SKILLS and AUTONOMY OF JUDGMENT:
With the didactic material presented during the course (both written and video) and the list of bibliographic references proposed by the teachers, students have the opportunity to autonomously expand their knowledge on the subject by integrating topics not directly addressed in the course.
SYLLABUS
Specification of Combinational Systems: definitions and specification level, data representation and coding, binary specification of combinational systems.
Combinational Integrated Circuits – Characteristics and Capabilities: representation of binary variables, structure and operation of CMOS gates, propagation delays, voltage variations and noise margins, power dissipation and delay-power product, Buses and three-state drivers, circuit characterization of a CMOS-family.
Description and Analysis of Gate Networks: definition, description and characteristics, sets of gates.
Design of Combinational Systems – two-level gate networks: minimal two-level networks, Karnaugh maps, minimization of sum of products and product of sums, design of multiple-output two-level gate networks, two-level NAND-NAND and NOR-NOR networks, limitations of two-level networks, programmable modules: PLA and PLA.
Design of Combinational Systems – Multilevel Gates Networks:
Transformations, alternative implementations, networks with XOR and XNOR gates, and networks with two-input multiplexers.
Specification of Sequential Systems: synchronous sequential systems, representation of the state transition and output functions, time behavior and finite state machines, finite memory sequential systems, controllers, equivalent sequential systems and minimization of the number of states, binary specification of sequential systems, specification of different types of sequential systems.
Sequential Networks: canonical form, high-level and binary implementations, gated latch and D flip-flop, timing characteristics, analysis of canonical sequential networks, design of canonical sequential networks, other flip-flop modules: SR, JK, T, analysis of networks with flip-flops, design using special state assignments.
Fundamentals of Mechanisms of Systems (block A) (since 2022-23)
| 1 YEAR |
1 semester | 6 CFU |
| Marco Ceccarelli | A.Y. 2021-22
A.Y. 2022-23 |
| Code: 803000062 SSD: ING-IND-13 (by Engineering Sciences) |
OBJECTIVES
LEARNING OUTCOMES: The course aims to teach students the knowledge and tools that are needed to address the issues that are related to the identification, modeling, analysis, and design of multi-body planar systems in English language and terminology
KNOWLEDGE AND UNDERSTANDING: modeling and procedures to recognize the structure and characteristics of mechanisms and machines
APPLYING KNOWLEDGE AND UNDERSTANDING: acquisition of analysis procedures for the understanding of kinematic and dynamic characteristics of mechanisms and machines
MAKING JUDGEMENTS: possibility of judging the functionality of mechanisms and machines with their own qualitative and quantitative assessments
COMMUNICATION SKILLS: learning technical terminology and procedures for presenting the performance of mechanisms
LEARNING SKILLS: learning technical terminology and procedures for the presentation of the performance of mechanisms
PREREQUISITES: knowledge of basic mechanics of rigid bodies and computation skills
SYLLABUS
Structure and classification of planar mechanical systems, kinematic modeling, mobility analysis, graphical approaches of kinematics analysis, kinematic analysis with computer-oriented algorithms; dynamics and statics modeling, graphical approaches of dynamics analysis, dynamic analysis with computer-oriented algorithms, performance evaluation; elements of mechanical transmissions.
BOOKS:
Lopez-Cajùn C., Ceccarelli M., Mecanismos, Trillas, Città del Messico
Shigley J.E., Pennock G.R., Uicker J.J., “Theory of Machines and Mechanisms”, McGraw-Hill, New York
Handnotes and papers by the teachers
POWERTRAIN TECHNOLOGIES FOR FUTURE MOBILITY (ex Internal Combustion Engines)
| 1 YEAR (Block C)
2 YEAR (Blocks A|B|D|E) |
II semester | 9 CFU |
| Stefano CORDINER (6/9 cfu) Lorenzo BARTOLUCCI (3/9 cfu) |
A.Y. 2021-22
Internal Combustion Engines |
| Since A.Y. 2022-23
POWERTRAIN TECHNOLOGIES FOR FUTURE MOBILITY |
|
| Code: 80300079 SSD: ING/IND/08 (by Mechanical Engineering) |
PREREQUISITES: Technical Physics, Fluid Machinery
FORMATIVE OBJECTIVES
LEARNING OUTCOMES:
The course aims to provide students with in-depth scientific training to correctly address the problems of designing, choosing and managing new propulsion systems for sustainable mobility starting from current solutions with internal combustion engines as well as creating the conditions for the development of innovative and low environmental impact solutions. To this end, students will develop in-depth knowledge of the operating principles of propulsion systems for transport and will learn simulation procedures for their verification and sizing. Finally, particular attention is dedicated to the most recent technological development of internal combustion engine technology aimed at overcoming current limits in terms of emissions and efficiency and defining innovative scenarios for sustainable mobility.
KNOWLEDGE AND UNDERSTANDING:
Course aim is to provide the students with tools for the analysis of the performances and the evaluation of proper design solution for internal combustion engines and their core components. At the end of the course, the student will be able to independently understand the functional link between design variables and the performance of internal combustion engines also in case of innovative design,
APPLYING KNOWLEDGE AND UNDERSTANDING:
The course, through the analysis of specific problems and quantitative data, is aimed at providing the tools for analysis and evaluation of the effects of different design choices. The theme of energy efficiency and pollution reduction are at the heart of the teaching organization. The student will be able to interpret and propose design solutions, even innovative ones, adapted to the specificity of the problems that are presented to him.
MAKING JUDGEMENTS:
By studying theoretical and practical aspects of engine design and critically assessing the influence of different design variables, the student will be able to improve his judgment and proposal in relation to design. and the management of internal combustion engines.
COMMUNICATION SKILLS:
The presentation of the theoretical and application profiles underlying the operation of internal combustion engines will be carried out to allow the knowledge of the technical language of the appropriate specialist terminology; The development of communication skills, both oral and written will also be stimulated through classroom discussion, participation in seminary activities and through final tests.
LEARNING SKILLS:
The learning capacity, even individual, will be stimulated through numerical exercises, the drafting of papers on specialized topics, the discussion in the classroom, also aimed at verifying the actual understanding of the topics treated. The learning capacity will also be stimulated by integrative educational aids (journal articles and economic newspapers) in order to develop autonomous application capabilities.
SYLLABUS:
Legislation evolution on Internal Combustin Engines. Definition of the performance of the propulsion systems and their operating characteristics in relation to the mission, driving cycles. Generalities on reciprocating internal combustion engines: Characteristics and classification, thermodynamic and performance analysis of reciprocating internal combustion engines.
Air supply for 4-stroke engines: volumetric efficiency and its evaluation; Design elements of intake systems: quasi-stationary effects; valve sizing; influence of other engine parameters; Variable Valve Actuation systems. 2-stroke engines: construction schemes; Non-stationary phenomena in intake and exhaust ducts: inertia and wave propagation; variable geometry systems; calculation models; Supercharging.
In cylinder charge Motion: Turbulence; swirl, squish, tumble; stratified charge engines.
Traditional and alternative fuels; Properties of motor fuels. Generalities: combustibles; stoichiometric air; calorific value Gaseous fuels: natural gas, hydrogen and mixtures. bio-ethanol, bio-diesel and DME. Characteristics and their use in engines: technical solutions, performance and emissions.
Fuel supply Premixed combustion engines; Non-pre-mixed combustion engines.
Combustion : Analytical elements of combustion; thermodynamics of combustion processes; calculation of the chemical composition and of the adiabatic equilibrium temperature ; transport phenomena ; chemical kinetics.
Pollutant emissions and abatement systems; Emissions: formation mechanisms, effects on health and the environment, measurement of emissions; influence of engine parameters; Innovative combustion solutions, Advanced Thermodynamic Cycles. Sustainable mobility. Operating principles of hybrid vehicles: series and parallel solution; motors a.c. and electrical employees; regenerative braking; lithium batteries, performance and prospects. Plug-in hybrid vehicles, i.c. engines “range extender”. Innovative control logics for optimal powersplitting between the different energy sources. Electric vehicles, characteristics and prospects. Numerical simulation tools will be presented for all course topics
ATTENDANCE
Course attendance is strongly recommended. During the course, students are invited to interact with the Professor during the class or office hours for any clarification or insight in specific topics related to the program.