Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Alessia Musa"'
Autor:
Andrea Messina, Valeria Anna Sovrano, Greta Baratti, Alessia Musa, Alessandra Gobbo, Alice Adiletta, Paola Sgadò
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Cerebral asymmetry is critical for typical brain function and development; at the same time, altered brain lateralization seems to be associated with neuropsychiatric disorders. Zebrafish are increasingly emerging as model species to study b
Externí odkaz:
https://doaj.org/article/2278446f6c124f0fa927cdf974d287e8
Publikováno v:
Energies, Vol 17, Iss 1, p 62 (2023)
This study presents a reinforcement-learning-based approach for energy management in hybrid electric vehicles (HEVs). Traditional energy management methods often fall short in simultaneously optimizing fuel economy, passenger comfort, and engine effi
Externí odkaz:
https://doaj.org/article/58b2eea17ffb4c82b3ef553b2ef9ae68
Publikováno v:
Energies, Vol 16, Iss 12, p 4639 (2023)
The present study investigates the use of machine learning algorithms to estimate the state of health (SOH) of high-voltage batteries in electric vehicles. The analysis is based on open-circuit voltage (OCV) measurements from 12 vehicles with differe
Externí odkaz:
https://doaj.org/article/f5bb772ff2d24d44aa4c8d07a4267c3c
Autor:
Alessia Musa, Michele Pipicelli, Matteo Spano, Francesco Tufano, Francesco De Nola, Gabriele Di Blasio, Alfredo Gimelli, Daniela Anna Misul, Gianluca Toscano
Publikováno v:
Energies, Vol 14, Iss 23, p 7974 (2021)
Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in the automotive field, as enablers for vehicle energy consumption, safety, and comfort enhancement. Compelling evidence is in fact provided by the variety of rela
Externí odkaz:
https://doaj.org/article/772d41187ab64853b1ccdc9efd6a2af2
Publikováno v:
Energies, Vol 14, Iss 17, p 5291 (2021)
The recent and continuous improvement in the transportation field provides several different opportunities for enhancing safety and comfort in passenger vehicles. In this context, Adaptive Cruise Control (ACC) might provide additional benefits, inclu
Externí odkaz:
https://doaj.org/article/649b6a86668e4562854f5ce7b1be8be9
Publikováno v:
Energies; Volume 16; Issue 12; Pages: 4639
The present study investigates the use of machine learning algorithms to estimate the state of health (SOH) of high-voltage batteries in electric vehicles. The analysis is based on open-circuit voltage (OCV) measurements from 12 vehicles with differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::319cf53363eae4218484a03fe74d6542
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47aa74171782181d986aaa0d427926aa
https://doi.org/10.4271/2022-01-0712
https://doi.org/10.4271/2022-01-0712
Publikováno v:
Energies; Volume 14; Issue 17; Pages: 5291
Energies, Vol 14, Iss 5291, p 5291 (2021)
Energies, Vol 14, Iss 5291, p 5291 (2021)
The recent and continuous improvement in the transportation field provides several different opportunities for enhancing safety and comfort in passenger vehicles. In this context, Adaptive Cruise Control (ACC) might provide additional benefits, inclu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::527f5fa2f110540f8625b1e35d51e075
Publikováno v:
2021 IEEE Transportation Electrification Conference & Expo (ITEC).
Autonomous driving systems are among the most interesting technologies in the transportation field nowadays, ensuring a high level of safety and comfort while also enhancing energy saving. For the following case study, a Battery Electric Vehicle (BEV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95c4be8e7b7a8d44716d61c65b6e3385
https://doi.org/10.1109/itec51675.2021.9490121
https://doi.org/10.1109/itec51675.2021.9490121
