ICT for Energy Efficiency - Integrated current sensors

The course is held by prof. Marco Crescentini and is part of the training provided for ET-IT PhD Students - a.y.2022/2023

  • Date: 27 JULY 2023  from 14:00 to 18:00

  • Event location: Room 2.11 - UOS - Via dell’Università, 50 - Cesena - In presence and online event

  • Type: ET-IT Course

Due to the flood emergency the event will be recorded.

However, the course is primarily meant to be attended in person. For this reason we kindly ask you to fill out the following form if you like to attend online or watch the recorded session.

ABSTRACT

Isolated current sensing is fundamental in several contexts, including power electronics, automotive, and smart buildings. The integrability of the current sensor in the application, with reduced weight and area, is a fundamental aspect that makes semiconductor-based current sensors an ever more important and requested class of devices. In order to meet the requirements of modern applications, current sensors should also feature ever larger bandwidth and dynamic range, as well as reduced power consumption.  Among the available current sensing technologies, Hall-based current sensors have gained increased popularity owing to their advantages in terms of size, economic feasibility, low power consumption, high dynamic range, and integrability with standard CMOS technologies. This lecture will review the main driving requirements for modern current sensors in power electronics and will discuss some of the novel techniques and methodologies proposed in the literature to improve sensor performance.

This course is part of the training provided for ET-IT PhD Students in the academic year 2022/2023.

The ET-IT PhD Students who attend both parts of "ICT for Energy Efficiency" and pass the final tests are entitled to:

  • ask for credit validation;
  • gain attendance hours (only for those enrolled in cycle 38).

 

Further information about "ICT for Energy Efficiency - Inductive Resonant Wireless Power Transfer in GaN Technology" is available HERE.

 

Contacts

PhD Manager

+39 051 20 9 3007

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prof. Marco Crescentini

Associate Professor

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