Santolo Meo

Prof. Santolo Meo

Department of Electrical Engineering and Information Technology, University of Naples “Federico II”, 80125 Naples, Italy
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 December 2002
Verified
Conference Paper
Closed access
GBGiovanni Bucci
Giovanni Bucci
Santolo MeoSantolo Meo
Santolo Meo
AOA. Ometto
A. Ometto
MSM. Scarano
M. Scarano

1 February 2015 in Applied Energy
Verified
Journal Article
Closed access
VPV. Paoletti
V. Paoletti
GLGiuseppe Langella
Giuseppe Langella
RNR. Di Napoli
R. Di Napoli
AAA. Amoresano
A. Amoresano
Santolo MeoSantolo Meo
Santolo Meo
AAA. Aiuppa
A. Aiuppa

1 June 2010
Verified
Conference Paper
Closed access
Manuele BertoluzzoManuele Bertoluzzo
Manuele Bertoluzzo
PBPaolo Bolognesi
Paolo Bolognesi
OBO. Bruno
O. Bruno
GBG. Buja
G. Buja
SCSimone Castellan
Simone Castellan
Santolo MeoSantolo Meo
Santolo Meo
The paper presents the activities ongoing in the framework of a two-year Italian National Research Project aimed at developing a distributed Driving and Steering (DaS) system for Electric Vehicles (EVs). The system is built up around an actuation module embedding a rotary-linear motor and including a power converter and a local Electronic Control Unit (ECU) to supply and control the motor. The actuation module is intended to make a wheel active so as to give it propelling and steering capabilities. The DaS system, in turn, includes a central ECU and a fieldbus to govern and network the system, and a power supply stage. The Project under consideration is focused on a DaS system with two active wheels for a light-duty EV.

30 March 2018 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Closed access
Santolo MeoSantolo Meo
Santolo Meo
LTLuisa Toscano
Luisa Toscano
The paper deals with some new results on the averaging theory approach for the analysis of feedback controlled pulsewidth modulation power electronic converters. It develops some considerations regarding the averaging approximation of time-variant differential systems proving an analytical relationship between the accuracy with which the solution of the averaged model converges to the solution of the original time-variant model (i.e., the switched model) and the switching frequency of the converters. This relation is valid both for stable and unstable systems. Moreover, this paper confirms, as corollary, that under suitable conditions (verified during the standard operations of the power electronic converters) the averaged model uniformly converges to the switched model.

25 August 2005
Verified
Conference Paper
Closed access
VIV. Isastia
V. Isastia
GGG. Gentile
G. Gentile
Santolo MeoSantolo Meo
Santolo Meo
AOA. Ometto
A. Ometto
NRN. Rotondale
N. Rotondale
MSM. Scarano
M. Scarano