Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Nicola Amati"'
Publikováno v:
IEEE Access, Vol 12, Pp 67486-67497 (2024)
Electromagnetic shock absorbers are mechatronic actuators designed to improve ride comfort and road holding in ground vehicles by introducing variable active and damping forces in the suspension. This feature difficults their testing, as the characte
Externí odkaz:
https://doaj.org/article/f298516c4b734b5d8b63e28e5360e1f5
Autor:
Luis M. Castellanos Molina, Renato Galluzzi, Shailesh Hegde, Angelo Bonfitto, Nicola Amati, Andrea Tonoli, Walter Ventura
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4770 (2024)
This work presents a novel electromagnetic clutch installed on the crankshaft pulley to decouple the internal combustion engine from the front-end accessory drive of a P0 hybrid electric vehicle. The objective is to supply the air conditioning compre
Externí odkaz:
https://doaj.org/article/89b5c06bf3e34a9a808cb76909b4b8b9
Publikováno v:
Machines, Vol 11, Iss 7, p 721 (2023)
Many modern high-end vehicles exploit controllable damping solutions to enhance their adaptability to different road conditions and driving styles. Among these technologies, active dampers offer improved performance due to their four-quadrant operati
Externí odkaz:
https://doaj.org/article/db1c90889db74c42bad8c0f4daa46f1c
Autor:
Sanjarbek Ruzimov, Luis M. Castellanos Molina, Renato Galluzzi, Raffaele Manca, Nicola Amati, Andrea Tonoli
Publikováno v:
Actuators, Vol 12, Iss 7, p 264 (2023)
This paper describes the modeling and experimental validation of the performance of two height adjustment suspensions with concentrically and eccentrically mounted screws. In the former solution, an anti-rotation system is required for the generation
Externí odkaz:
https://doaj.org/article/85ffd3d40c954bfe9a535347e7e634ee
Autor:
Dinesh Cyril Selvaraj, Shailesh Hegde, Nicola Amati, Francesco Deflorio, Carla Fabiana Chiasserini
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5272 (2023)
Sensing, computing, and communication advancements allow vehicles to generate and collect massive amounts of data on their state and surroundings. Such richness of information fosters data-driven decision-making model development that considers the v
Externí odkaz:
https://doaj.org/article/bcf4ebb4f45a4aab937c972cea7f38d5
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 2, p 36 (2023)
In the last decade, a number of research works in electrified vehicles have been devoted to the analysis of the electric consumption of battery electric vehicles and the evaluation of the main influencing factors. The literature analysis reveals that
Externí odkaz:
https://doaj.org/article/282fc505dc094a23936f839ec3caeca4
Autor:
Shailesh Hegde, Angelo Bonfitto, Renato Galluzzi, Luis M. Castellanos Molina, Nicola Amati, Andrea Tonoli
Publikováno v:
Energies, Vol 16, Iss 1, p 487 (2023)
A P0 system is used in hybrid automobiles to improve engine economy and performance. An essential element of the P0 system for effectively transmitting power to the drive train is the belt drive system (BDS). The features of electric machine (EM) and
Externí odkaz:
https://doaj.org/article/661037fe73c3466987ecfce070227116
Publikováno v:
Communications, Vol 24, Iss 1, Pp C1-C17 (2022)
This paper presents a redundant multi-object detection method for autonomous driving, exploiting a combination of Light Detection and Ranging (LiDAR) and stereocamera sensors to detect different obstacles. These sensors are used for distinct percepti
Externí odkaz:
https://doaj.org/article/eff7ea3f241a4574a116faef08f8dd66
Autor:
Raffaele Manca, Marco Puliti, Salvatore Circosta, Renato Galluzzi, Sergio Salvatore, Nicola Amati
Publikováno v:
Actuators, Vol 11, Iss 9, p 263 (2022)
This work proposes a systematic methodology for designing an active leveling system (ALS) actuator for lunar landing application. The ALS actuator is integrated into an inverted tripod leg layout, exploiting a honeycomb crushable damper as a shock ab
Externí odkaz:
https://doaj.org/article/f1cfdbb43e794459b843e89933ef9af5
Publikováno v:
Advances in Mechanical Engineering, Vol 12 (2020)
This paper presents a method to design a Model Predictive Control to maximize the passengers’ comfort in assisted and self-driving vehicles by achieving lateral and longitudinal dynamic. The weighting parameters of the MPC are tuned off-line using
Externí odkaz:
https://doaj.org/article/d98e18d661624f9592455f0d43b171cb