- Docente: Pier Andrea Traverso
- Crediti formativi: 6
- SSD: ING-INF/07
- Lingua di insegnamento: Inglese
- Moduli: Pier Andrea Traverso (Modulo 1) Pier Andrea Traverso (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. 6713)
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Orario delle lezioni (Modulo 1)
dal 17/09/2025 al 29/10/2025
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Orario delle lezioni (Modulo 2)
dal 15/09/2025 al 17/12/2025
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 two modules. The first one is focused on the fundamental concepts for the metrological characterization of measurement processes, and on the fundamentals of signal processing. 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.
Educational documentation (slides, user manuals, component datasheets) provided by the professor and/or downloadable from "Virtuale" platform.
Metodi didattici
Class lectures, integrated with laboratory activity.
Modalità di verifica e valutazione dell'apprendimento
Individual oral exam
Orario di ricevimento
Consulta il sito web di Pier Andrea Traverso
SDGs


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