93730 - ADVANCED SENSORS FOR ELECTRIC VEHICLES M

Anno Accademico 2024/2025

  • Docente: Federico Tramarin
  • Crediti formativi: 6
  • SSD: ING-INF/07
  • Lingua di insegnamento: Inglese
  • Moduli: Federico Tramarin (Modulo 1) Alessandro Mingotti (Modulo 2)
  • Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2)
  • Campus: Bologna
  • Corso: Laurea Magistrale in Electric Vehicle Engineering (cod. 5699)

Conoscenze e abilità da conseguire

Aim of the course is to give a basic preparation, design skills, and understanding the specifications of sensors and measuring systems for automotive applications.

Contenuti

The course is split into 2 modules. The first one is focused on the fundamental concepts for the metrological characterization of measurement processes, and on the fundamentals of signal processings. The second module will focus mainly on the overview and analysis of a set of sensors relevant to the automotive scenario

In particular, the topics of the course can be summarized as:

Module 1

  • Basic metrology concepts.
    • Introduction to probability and statistic for signal processing.
    • The guide to the expression of uncertainty in measurements.
    • Basics of signal processing.

Module 2

  • Measurement chain
    • from sensors to signal conditioning, ADC, processing.
    • Static and Dynamic characteristics
  • Sensors
    • Hall effect sensors
    • Velocity and Acceleration
      • Incremental and absolute encoder and resolver
      • Variable Reluctance
    • Detectors of Humans
    • Temperature sensors
  • Sensor Networks for Automotive

In the last part, the course will provide a view on the interconnections of sensors within modern automotive networks.

Testi/Bibliografia

J. Fraden: Handbook of Modern Sensors, Physics, Designs, and Applications: Springer, 2016.

A. Ferrero, D. Petri, M. Carbone, M. Catelani (a cura di), Modern Measurements -- Fundamentals and Applications. --: Wiley / IEEE Press, 2015.

 

Metodi didattici

The lectures will be mainly taught in presence, following the calendar of the course.

Modalità di verifica e valutazione dell'apprendimento

The assessment will be based on the following elements:
1. verification of understanding of the proposed arguments
2. appropriate use of specific language and terminology
3. ability to apply the theoretical notions studied during the course.

The final exam consists of an oral exam.

Thiswill cover the entire course programme and will consist of a set of open questions, which will cover both the main theoretical aspects, and the assessment of the skills acquired with respect to the solution of practical problems. The latter questions may require some numerical steps.

Orario di ricevimento

Consulta il sito web di Federico Tramarin

Consulta il sito web di Alessandro Mingotti

SDGs

Istruzione di qualità Imprese innovazione e infrastrutture

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.