Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Federico Millo"'
Publikováno v:
Transportation Engineering, Vol 16, Iss , Pp 100241- (2024)
In recent years, Machine Learning (ML) techniques have gained increasing popularity in several fields thanks to their ability to find hidden and complex relationships between data. Their capabilities for solving complex optimization tasks have made t
Externí odkaz:
https://doaj.org/article/078c5bfa44894a559ad0d8a51e133e7a
Autor:
Ivan Arsie, Michele Battistoni, Pier Paolo Brancaleoni, Roberto Cipollone, Enrico Corti, Davide Di Battista, Federico Millo, Alessio Occhicone, Benedetta Peiretti Paradisi, Luciano Rolando, Jacopo Zembi
Publikováno v:
Energies, Vol 17, Iss 1, p 34 (2023)
The H2-ICE project aims at developing, through numerical simulation, a new generation of hybrid powertrains featuring a hydrogen-fueled Internal Combustion Engine (ICE) suitable for 12 m urban buses in order to provide a reliable and cost-effective s
Externí odkaz:
https://doaj.org/article/97f8f87d6aff4604a573a1ba0f020d61
Publikováno v:
Transportation Engineering, Vol 11, Iss , Pp 100160- (2023)
The energy management of a Hybrid Electric Vehicle (HEV) is a global optimization problem, and its optimal solution inevitably entails knowing the entire mission profile. The exploitation of Vehicle-to-Everything (V2X) connectivity can pave the way f
Externí odkaz:
https://doaj.org/article/4391c3ba226e480faf622965b7818ef4
Development of a neural network-based energy management system for a plug-in hybrid electric vehicle
Publikováno v:
Transportation Engineering, Vol 11, Iss , Pp 100156- (2023)
The high potential of Artificial Intelligence (AI) techniques for effectively solving complex parameterization tasks also makes them extremely attractive for the design of the Energy Management Systems (EMS) of Hybrid Electric Vehicles (HEVs). In thi
Externí odkaz:
https://doaj.org/article/2d286da0ade04b5c93d80075f71bb2d5
Publikováno v:
Energies, Vol 16, Iss 10, p 4121 (2023)
In a context in which the connectivity level of last-generation vehicles is constantly on the rise, the combined use of Vehicle-To-Everything (V2X) connectivity and autonomous driving can provide remarkable benefits through the synergistic optimizati
Externí odkaz:
https://doaj.org/article/6088a0c9d77c458fa0cf56480f4e04ad
Publikováno v:
Atmosphere, Vol 14, Iss 3, p 587 (2023)
Hybrid Electric Vehicles (HEVs) are a prominent solution for reducing CO2 emissions from transport in Europe. They are equipped with at least two propulsion energy converters, an Internal Combustion Engine (ICE) and one or more Electric Machines (EMs
Externí odkaz:
https://doaj.org/article/6330a578f020480ab4c5856aadf0e219
Publikováno v:
Transportation Engineering, Vol 2, Iss , Pp 100037- (2020)
The reduction of CO2 emissions, and hence of fuel consumption, is currently a key driver for the development of innovative SI engines for passenger car applications. In recent years, motorsport technical regulations in the highest categories have see
Externí odkaz:
https://doaj.org/article/331a595fe46c4a919c8b0ce4f44596d6
Autor:
Federico Millo, Andrea Piano, Salvatore Roggio, Francesco C. Pesce, Alberto Vassallo, Andrea Bianco
Publikováno v:
Energies, Vol 15, Iss 10, p 3799 (2022)
The optimization of the piston bowl design has been shown to have a great potential for air–fuel mixing improvement, leading to significant fuel consumption and pollutant emissions reductions for diesel engines. With this aim, a conventional re-ent
Externí odkaz:
https://doaj.org/article/32dfdadeca2848d8b9f35e959fb611c3
Publikováno v:
Energies, Vol 15, Iss 9, p 3393 (2022)
Lean burn spark ignition (SI) engines represent an effective solution for improving fuel economy and reducing exhaust emissions and can be implemented both in conventional and hybrid powertrains. On the other hand, lean operation increases cyclic var
Externí odkaz:
https://doaj.org/article/8403302f367846d1a4cef4851d8cde29
Publikováno v:
SAE Technical Paper Series.
The continuous tightening of CO2 emission targets along with the introduction of Real Driving Emissions (RDE) tests make Water Injection (WI) one of the most promising solutions to improve efficiency, enhance performance and reduce emissions of turbo