85740 - Automotive Connectivity M

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

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, computing continuum (edge-fog-cloud) paradigms for vehicle applications and industrially relevant simulation environments used to design vehicular communication systems.

Topics include:

- introduction to networking and protocols

- in-car networking (protocols, ECU, software layers and RTOSes)

- off-car communication (protocols, edge/fog/cloud communication)

- safety and security aspects

- simulation and Hardware-in-the-Loop

Readings/Bibliography

• Vehicular Networking, Cambridge University Press, 2014, ISBN 1107046718, 9781107046719
• Vehicular Networks:From Theory to Practice, CRC Press, ISBN: 1420085891, 978142008589
• 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 evaluated through:

- written exam (a test with open and closed questions)

- presentation of a scientific paper about a selected course topic or a practical project using a simulator

Teaching tools

Course material available on virtuale.unibo.it

Office hours

See the website of Andrea Acquaviva