Caricamento in corso...

03MIQOV, 03MIQQW

A.A. 2024/25

Course Language

Inglese

Degree programme(s)

Master of science-level of the Bologna process in Ingegneria Informatica (Computer Engineering) - Torino

Master of science-level of the Bologna process in Mechatronic Engineering (Ingegneria Meccatronica) - Torino

Course structure

Teaching | Hours |
---|---|

Lezioni | 45 |

Esercitazioni in laboratorio | 15 |

Lecturers

Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
---|---|---|---|---|---|---|---|

Malan Stefano Alberto | Ricercatore | IINF-04/A | 30 | 0 | 15 | 0 | 16 |

Co-lectures

Espandi

Riduci

Riduci

Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut |
---|---|---|---|---|---|---|

Pagone Michele | Ricercatore L240/10 | IINF-04/A | 15 | 0 | 15 | 0 |

Context

SSD | CFU | Activities | Area context |
---|---|---|---|

ING-INF/04 | 6 | C - Affini o integrative | Attività formative affini o integrative |

2024/25

The course aim is to provide an overview on the main automotive control problems and related solutions, dealing with chassis, engine and driveline subsystems. Some of the vehicle control systems, selected from the most common and usually present on commercial cars are deepened.

The course aim is to provide an overview on some of the main automotive control problems and related solutions, dealing with chassis, engine and driveline subsystems. Some of the vehicle control systems, selected from the most common and usually present on commercial cars are deepened.
The course is related to the Automation and Intelligent Cyber-Physical Systems area of Computer Engineering MSc and to the Automation and control engineering area of Mechatronic Engineering MSc.

- Learning of the vehicle subsystems: chassis, engine, driveline
- Learning of detailed and simplified vehicle modelling for each subsystem
- Learning of vehicle control aspects and objectives for each subsystem and their interactions
- Learning of possible solutions to each control problem
- Ability to adapt vehicle model complexity to simulation, estimation, design aims
- Ability to formulate vehicle control objectives
- Ability to tune control systems and to evaluate the obtained performances
- Ability to tune and evaluate a control system by means of the numerical simulation

- Knowledges of the vehicle subsystems: chassis, engine, driveline
- Knowledges of detailed and simplified vehicle modelling for each subsystem
- Knowledges of some control aspects and objectives for each subsystem and their interactions
- Knowledges of possible solutions to each control problem
- Ability to adapt vehicle models complexity to simulation, estimation, design aims
- Ability to formulate vehicle control objectives
- Ability to tune control systems and to evaluate the obtained performances
- Ability to tune and evaluate a control system by means of the numerical simulation

The student must know the automatic control fundamental concepts and methods: the notion of dynamic system, its mathematical representation, its properties analysis, the notion of performance and feedback, the regulator design main techniques, such as the state or output feedback, both in the time and frequency domain. Digital control techniques, such as sampling, reconstruction and digital filter realization, are useful, together with robustness notion and its related analysis and design techniques. Basics on mechanical and thermodynamics systems and their mathematical description are as well useful. The student must be able to use the MATLAB/SIMULINK software environment.

The student must know the automatic control fundamental concepts and methods: the notion of dynamic system, its mathematical representations, its properties analysis, the notion of performance and feedback, the regulator design main techniques, such as the state or output feedback, both in the time and frequency domain. Digital control techniques, such as sampling, reconstruction and digital filter realization, are useful, together with robustness notion and its related analysis and design techniques. Basics on mechanical and thermodynamics systems and their mathematical description are as well useful. The student must be able to use the MATLAB/SIMULINK software environment.

Course presentation and overview on automotive control problems (2 hours).
Chassis control problems:
- Longitudinal dynamic during braking and acceleration: ABS and TC (7 hours).
- Yaw dynamic in steering manoeuvres: ESP (7 hours).
Engine control problems:
- Thermodynamic phenomena (4 hours).
- Combustion engines principles (4 hours).
- Air fuel ratio control (6 hours).
- Idle speed control (4 hours).
- Knock control (5 hours).
- Cylinder balancing (2 hours).
Driveline control problems:
- Gear shifting (4 hours).
If possible, presentation of automotive companies are scheduled during the course.

Course presentation and overview on automotive control problems (1 hours).
Chassis control problems:
- Longitudinal dynamic during braking and acceleration: ABS and TC (7 hours).
- Yaw dynamic in steering manoeuvres: ESP (7 hours).
Engine control problems:
- Thermodynamic phenomena (4 hours).
- Combustion engines principles (3 hours).
- Air fuel ratio control (6 hours).
- Idle speed control (4 hours).
- Knock control (5 hours).
- Cylinder balancing (2 hours).
Driveline control problems:
- Gear shifting (4 hours).
- Hybrid electric vehicles (2 hours).
If possible, presentation of automotive companies are scheduled during the course.

Room lectures on the course topics (45 hours).
Laboratory lectures: deepening of the chassis and driveline subjects by means of numerical exercises. The lectures take place in a computer laboratory using CARSIM, a professional numerical simulator of the vehicle dynamics, together with the software tool MATLAB/SIMULINK (15 hours).
If possible, visit to automotive companies are scheduled during the course.

Room lectures on the course topics (45 hours).
Laboratory lectures: deepening of the chassis, driveline and engine subjects by means of numerical exercises. The lectures take place in a computer laboratory using CARSIM, a professional numerical simulator of the vehicle dynamics, together with the software tool MATLAB/SIMULINK (15 hours).
If possible, visit to automotive companies are scheduled during the course.

U. Kiencke, L. Nielsen, Automotive Control Systems: For Engine, Driveline and Vehicle, Springer-Verlag, Second Edition, 2005.
A.G. Ulsoy, H. Peng and M. Çakmakcý, Automotive Control Systems, Cambridge University Press, 2012
Additional material, such as notes, lecture slides and laboratory exercise files, is made available to students.

U. Kiencke, L. Nielsen, Automotive Control Systems: For Engine, Driveline and Vehicle, Springer-Verlag, 2nd Edition, 2005.
A.G. Ulsoy, H. Peng and M. Çakmakcý, Automotive Control Systems, Cambridge University Press, 2012
R. Rajamani, Vehicle dynamics and control, 2nd Edition, Springer, 2012
Additional material, such as notes, lecture slides and laboratory exercise files, is made available to students.

Slides; Libro di testo; Esercitazioni di laboratorio; Strumenti di simulazione;

Lecture slides; Text book; Lab exercises; Simulation tools;

...
The exam aims at verify
- the comprehension of the topics presented during the course and of the software tools used in the laboratories and the consequent strengthened analysis made on the case studies;
- the ability to extend the given concepts to cases similar to the presented ones.
The exam is a written examination lasting about 2 hours and divided in two Sections: First Section (laboratory on-line procedure) made of multiple choice questions (50% of total mark) with a penalty of ¼ of the question score if the given answer is wrong; Second Section made of free response questions (50% of total mark). A minimum mark of 5/16 in the First Section is mandatory to be admitted to the Second Section of the exam. The closed-answer questions deal with methodology, numerical exercises, software laboratory exercises and CarSim knowledge, etc. The open-answer questions deal with methodology and CarSim knowledge. During the exam, both Sections, it is possible to look through books, personal notes, lecture slides, etc.
Optionally, studying and discussion of a homework, developed in team, about topics inherent the course can substitute the free response questions and so fulfil the Second Section of the exam (50% of total mark). The topic of the homework must be agreed with the professor and developed during the course (October-January). No written report is required, but an oral presentation given by the whole team is necessary and must be taken during the winter exam session.

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.

The exam aims at verify
- the comprehension of the topics presented during the course and of the software tools used in the laboratories and the consequent strengthened analysis made on the case studies;
- the ability to extend the given concepts to cases similar to the presented ones.
The first part of the exam (being worth around 75% of total mark) is a laboratory on-line examination lasting about 1 hour made of multiple choice questions with a penalty of ¼ of the question score if the given answer is wrong, numerical questions, true/false questions and "matching" questions with no penalties for wrong answers. The questions deal with methodology, numerical exercises, software laboratory exercises and CarSim knowledge, etc.
The second part of the exam (being worth around 25% of total mark) is a written one, where the student has to answer to an open answer question dealing with methodology. Notation clarity and the accuracy in the presentation will allow to obtain the "lode". It last about half hour.
During the exam it is not possible to look through any material: books, personal notes, lecture slides, etc.
The achievable maximum mark will be reduced after multiple rejection (starting from the second) of positive marks.

In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.