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Proceedings Papers

Operational Considerations for Active Electromagnetic Suspension Systems

Renato Galluzzi, Ricardo A. Ramirez-Mendoza, Salvatore Circosta, Angelo Bonfitto, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A010, August 14–17, 2022
Paper No: DETC2022-89393
DOI: https://doi.org/10.1115/DETC2022-89393
View Paper titled, Operational Considerations for Active Electromagnetic Suspension Systems
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Topics: Suspension systems, Actuators, Absorption, Active damping, Calibration, Cycles, Damping, Diffusion (Physics), Driver safety, Energy harvesting
Proceedings Papers

Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles

Sara Luciani, Stefano Feraco, Angelo Bonfitto, Nicola Amati, Andrea Tonoli, Maurizio Quaggiotto
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A015, August 14–17, 2022
Paper No: DETC2022-89512
DOI: https://doi.org/10.1115/DETC2022-89512
View Paper titled, Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles
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Topics: Artificial intelligence, Artificial neural networks, Construction equipment, Lead-acid batteries
Proceedings Papers

Crankshaft Decoupling Effects on Fuel Economy in HEV-P0

Shailesh Hegde, Luis M. Castellanos Molina, Angelo Bonfitto, Renato Galluzzi, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A016, August 14–17, 2022
Paper No: DETC2022-90014
DOI: https://doi.org/10.1115/DETC2022-90014
View Paper titled, Crankshaft Decoupling Effects on Fuel Economy in HEV-P0
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Topics: Air conditioning, Compressors, Corporate average fuel economy, Emissions, Fuel efficiency, Hybrid electric vehicles
Proceedings Papers

Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications

Sara Luciani, Stefano Feraco, Mario Silvagni, Angelo Bonfitto, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A014, August 14–17, 2022
Paper No: DETC2022-89454
DOI: https://doi.org/10.1115/DETC2022-89454
View Paper titled, Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications
Click here to open pdf in another window PDF for Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications
Topics: Artificial intelligence, Artificial neural networks, Lithium-ion batteries, Support vector machines
Proceedings Papers

A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles

Sara Luciani, Stefano Feraco, Angelo Bonfitto, Andrea Tonoli, Nicola Amati, Maurizio Quaggiotto
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A017, August 17–19, 2021
Paper No: DETC2021-68469
DOI: https://doi.org/10.1115/DETC2021-68469
View Paper titled, A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles
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Topics: Artificial neural networks, Construction equipment, Genetic algorithms, Lead-acid batteries, Machine learning
Proceedings Papers

Remote Emergency Braking System for Autonomous Racing Electric Vehicles

Gennaro Sorrentino, Luca Danese, Salvatore Circosta, Stefano Feraco, Irfan Khan, Sara Luciani, Angelo Bonfitto, Nicola Amati
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A008, August 17–19, 2021
Paper No: DETC2021-67426
DOI: https://doi.org/10.1115/DETC2021-67426
View Paper titled, Remote Emergency Braking System for Autonomous Racing Electric Vehicles
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Topics: Autonomous vehicles, Braking, Electric vehicles, Emergencies
Proceedings Papers

Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles

Shailesh Hegde, Angelo Bonfitto, Hadi Rahmeh, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A019, August 17–19, 2021
Paper No: DETC2021-71621
DOI: https://doi.org/10.1115/DETC2021-71621
View Paper titled, Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles
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Topics: Energy management, Genetic algorithms, Hybrid electric vehicles
Proceedings Papers

Local Trajectory Planning for Autonomous Racing Vehicles Based on the Rapidly-Exploring Random Tree Algorithm

Eugenio Tramacere, Sara Luciani, Stefano Feraco, Salvatore Circosta, Irfan Khan, Angelo Bonfitto, Nicola Amati
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A009, August 17–19, 2021
Paper No: DETC2021-67434
DOI: https://doi.org/10.1115/DETC2021-67434
View Paper titled, Local Trajectory Planning for Autonomous Racing Vehicles Based on the Rapidly-Exploring Random Tree Algorithm
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Topics: Algorithms, Autonomous vehicles, Trajectories (Physics), Vehicles
Journal Articles

Passive Multi-Degree-of-Freedom Stabilization of Ultra-High-Speed Maglev Vehicles

Salvatore Circosta, Renato Galluzzi, Nicola Amati, Andrea Tonoli, Angelo Bonfitto, Torbjörn A. Lembke, Milan Kertész
Journal: Journal of Vibration and Acoustics
Article Type: Research Papers
J. Vib. Acoust. December 2021, 143(6): 061003.
Paper No: VIB-20-1362
DOI: https://doi.org/10.1115/1.4049944
Published Online: February 23, 2021
View Article titled, Passive Multi-Degree-of-Freedom Stabilization of Ultra-High-Speed Maglev Vehicles
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Topics: Dynamics (Mechanics), Levitation, Modeling, Vehicles, Yaw, Stability, Design, Magnetic levitation
Proceedings Papers

A LIDAR-Based Clustering Technique for Obstacles and Lane Boundaries Detection in Assisted and Autonomous Driving

Stefano Feraco, Angelo Bonfitto, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2020, Volume 4: 22nd International Conference on Advanced Vehicle Technologies (AVT), V004T04A007, August 17–19, 2020
Paper No: DETC2020-22339
DOI: https://doi.org/10.1115/DETC2020-22339
View Paper titled, A LIDAR-Based Clustering Technique for Obstacles and Lane Boundaries Detection in Assisted and Autonomous Driving
Click here to open pdf in another window PDF for A LIDAR-Based Clustering Technique for Obstacles and Lane Boundaries Detection in Assisted and Autonomous Driving
Topics: Algorithms, Electric vehicles, Filtration, Image segmentation, Roads, Traffic, Wheels
Proceedings Papers

Comfort-Oriented Design of Model Predictive Control in Assisted and Autonomous Driving

Sara Luciani, Angelo Bonfitto, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2020, Volume 4: 22nd International Conference on Advanced Vehicle Technologies (AVT), V004T04A008, August 17–19, 2020
Paper No: DETC2020-22418
DOI: https://doi.org/10.1115/DETC2020-22418
View Paper titled, Comfort-Oriented Design of Model Predictive Control in Assisted and Autonomous Driving
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Topics: Design, Predictive control, Control equipment, Dynamics (Mechanics), Autonomous vehicles, Highways, Vehicles, Wheels, Yaw
Proceedings Papers

A Model Predictive Control Strategy for Lateral and Longitudinal Dynamics in Autonomous Driving

Irfan Khan, Stefano Feraco, Angelo Bonfitto, Nicola Amati
Proc. ASME. IDETC-CIE2020, Volume 4: 22nd International Conference on Advanced Vehicle Technologies (AVT), V004T04A004, August 17–19, 2020
Paper No: DETC2020-22287
DOI: https://doi.org/10.1115/DETC2020-22287
View Paper titled, A Model Predictive Control Strategy for Lateral and Longitudinal Dynamics in Autonomous Driving
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Topics: Dynamics (Mechanics), Predictive control, Vehicle dynamics
Proceedings Papers

Optimal Trajectory Generation Using an Improved Probabilistic Road Map Algorithm for Autonomous Driving

Stefano Feraco, Angelo Bonfitto, Irfan Khan, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2020, Volume 4: 22nd International Conference on Advanced Vehicle Technologies (AVT), V004T04A006, August 17–19, 2020
Paper No: DETC2020-22311
DOI: https://doi.org/10.1115/DETC2020-22311
View Paper titled, Optimal Trajectory Generation Using an Improved Probabilistic Road Map Algorithm for Autonomous Driving
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Topics: Algorithms, Roads, Trajectories (Physics)
Proceedings Papers

Fuzzy Logic vs Equivalent Consumption Minimization Strategy for Energy Management in P2 Hybrid Electric Vehicles

Hadi Rahmeh, Angelo Bonfitto, Sanjarbek Ruzimov
Proc. ASME. IDETC-CIE2020, Volume 4: 22nd International Conference on Advanced Vehicle Technologies (AVT), V004T04A026, August 17–19, 2020
Paper No: DETC2020-22431
DOI: https://doi.org/10.1115/DETC2020-22431
View Paper titled, Fuzzy Logic vs Equivalent Consumption Minimization Strategy for Energy Management in P2 Hybrid Electric Vehicles
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Topics: Energy management, Fuzzy logic, Hybrid electric vehicles
Journal Articles

A Multi-domain Approach to the Stabilization of Electrodynamic Levitation Systems

Renato Galluzzi, Salvatore Circosta, Nicola Amati, Andrea Tonoli, Angelo Bonfitto, Torbjörn A. Lembke, Milan Kertész
Journal: Journal of Vibration and Acoustics
Article Type: Research Papers
J. Vib. Acoust. December 2020, 142(6): 061004.
Paper No: VIB-20-1094
DOI: https://doi.org/10.1115/1.4046952
Published Online: May 15, 2020
View Article titled, A Multi-domain Approach to the Stabilization of Electrodynamic Levitation Systems
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Topics: Damping, Degrees of freedom, Levitation, Stability, Poles (Building)
Proceedings Papers

Virtual Sensing in High-Performance Vehicles With Artificial Intelligence

Angelo Bonfitto, Stefano Feraco, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2019, Volume 3: 21st International Conference on Advanced Vehicle Technologies; 16th International Conference on Design Education, V003T01A005, August 18–21, 2019
Paper No: DETC2019-97906
DOI: https://doi.org/10.1115/DETC2019-97906
View Paper titled, Virtual Sensing in High-Performance Vehicles With Artificial Intelligence
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Topics: Artificial intelligence, Artificial neural networks, Vehicles, Roads, Sensors, Wheels, Algorithms, Pattern recognition
Proceedings Papers

Combined Lane Keeping and Longitudinal Speed Control for Autonomous Driving

Stefano Feraco, Angelo Bonfitto, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2019, Volume 3: 21st International Conference on Advanced Vehicle Technologies; 16th International Conference on Design Education, V003T01A018, August 18–21, 2019
Paper No: DETC2019-97922
DOI: https://doi.org/10.1115/DETC2019-97922
View Paper titled, Combined Lane Keeping and Longitudinal Speed Control for Autonomous Driving
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Topics: Bicycles, Control algorithms, Roads, Simulation, Trajectories (Physics), Vehicles, Yaw
Journal Articles

Self-Powered Eddy Current Damper for Rotordynamic Applications

Mario Silvagni, Andrea Tonoli, Angelo Bonfitto
Journal: Journal of Vibration and Acoustics
Article Type: Research-Article
J. Vib. Acoust. February 2015, 137(1): 011015.
Paper No: VIB-14-1112
DOI: https://doi.org/10.1115/1.4028228
Published Online: February 1, 2015
View Article titled, Self-Powered Eddy Current Damper for Rotordynamic Applications
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Topics: Dampers, Generators, Damping, Rotors, Eddies (Fluid dynamics)
Journal Articles

Design of Electromagnetic Dampers for Aero-Engine Applications

Andrea Tonoli, Nicola Amati, Angelo Bonfitto, Mario Silvagni, Bernard Staples, Evgueni Karpenko
Journal: Journal of Engineering for Gas Turbines and Power
Article Type: Research Papers
J. Eng. Gas Turbines Power. November 2010, 132(11): 112501.
DOI: https://doi.org/10.1115/1.4000801
Published Online: August 5, 2010
View Article titled, Design of Electromagnetic Dampers for Aero-Engine Applications
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Topics: Aircraft engines, Dampers, Damping, Design, Rotors, Stiffness, Vibration
Journal Articles

Self-Sensing Active Magnetic Dampers for Vibration Control

Angelo Bonfitto, Xavier De Lépine, Mario Silvagni, Andrea Tonoli
Journal: Journal of Dynamic Systems, Measurement, and Control
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. November 2009, 131(6): 061006.
DOI: https://doi.org/10.1115/1.4000069
Published Online: November 10, 2009
View Article titled, Self-Sensing Active Magnetic Dampers for Vibration Control
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Topics: Closed loop systems, Control equipment, Dampers, Damping, Design, Electromagnets, Modeling, Rotors, Sensitivity analysis, State feedback