85740 - Automotive Connectivity M

Academic Year 2021/2022

  • Docente: Giovanni Pau
  • Credits: 3
  • SSD: ING-IND/15
  • Language: Italian
  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Electric Vehicle Engineering (cod. 5699)

Learning outcomes

The aim of the module is to provide the students with the fundamental knowledge to recognize and to utilize the main on board networks and protocols interacting with the driveline and the foundamental techniques for vehicle to internet interconnection. Students learn the principle of operation and use vehicular networking and protocols: 1) CAN vehicular network (characteristic, application, implementation); 2) UDS - Universal Diagnostic Service characteristic and implementation; 3) XCP – Universal calibration protocol. Students understand the basic features and application of the Vehicle to infrastructure networking: 1) Vehicle to Internet communication services (TCP/IP, etc…): 2) Data compression and data transmission. 3) DoIP: Diagnosis and service over the internet. 4) Edge and cloud computing for predictive maintenance. 5) Electric vehicle Fleet management. 6) Remote Battery Management System. Improvement of battery safety control and second life battery use.

Course contents

Autonomous and connected vehicles are changing automotive as we know it today. Computer Scientists and Engineers are at the center of this revolution. They are the ones behind the innovation and feature-design for 50% of features in any car in the market. This trend is accelerating with the market introduction of connected cars, electric cars, autonomous vehicles and Advanced Driver Assistance Systems (ADAS).

This course serves as an introduction to these exciting topics and to foster the curiosity for the open scientific challenges that are now being discussed by a global community of researchers.

 

Course Description:

This course provides a survey of vehicular computing paradigms, algorithms and systems with the goal of understanding the impact of mobility, propagation, computation and protocol tradeoffs in the connected vehicles scenarios.

The course covers fundamental and advanced principles of Vehicular Networks by studying the protocols and algorithms used in vehicular systems and applications and their expected evolution. Topics include: Intermittent Networks, Mobility and Propagation Challenges, Vehicular edge and fog paradigms (V2X/C-V2X), beyond IP communications, multi-homed connected vehicles, In-vehicle networking, introduction to privacy in vehicular systems, analysis of EV specific verticals and possible evolutions.

 

Readings/Bibliography

This Class will be based on:

Reference Books:

  • Vehicular Networking, Cambridge University Press, 2014, ISBN 1107046718, 9781107046719
  • Vehicular Networks:From Theory to Practice, CRC Press, ISBN: 1420085891, 9781420085891
  • Intelligent Vehicular Networks and Communications: Fundamentals, Elsevier Press, ISBN: 0128095466, 9780128095461
  • Research Papers, given in class
  • Resources given in Class

Teaching methods

In-Class lectures

Assessment methods

Students will be assessed by:

  • in class participation to discussion;
  • Final exam

Teaching tools

Class material will be made available at: https://virtuale.unibo.it/

Office hours

See the website of Giovanni Pau