Archivio Istituzionale della RicercaBONFITTO, ANGELO
BONFITTO, ANGELO
Dipartimento di Ingegneria Meccanica e Aerospaziale
013532
A Novel Economic Model Predictive Control for Adaptive Cruise Control in Electric Vehicles
In corso di stampa Pagone, Michele; Acampora, Mattia; Novara, Carlo; Bonfitto, Angelo
A Study on Combined Lithium and Sodium-Ion Hybrid Energy Storage Systems in Battery Electric Vehicles
2024 Foti, Orazio; Pakstys, Saulius; Bonfitto, Angelo
Aggressive Driving Behavior Detection Using Integrated I-DBSCAN and LSTM Neural Network
2024 Chen, Hao; Hegde, Shailesh; Bonfitto, Angelo
Fuel Consumption Reductions in Heavy-Duty Vehicles With Crank Pulley Decoupler Mounted Engines
2024 Pakstys, Saulius; Hegde, Shailesh; Bonfitto, Angelo
Machine Learning-Based Method for Energy Economy Driver Assistance
2024 Chen, Hao; Hegde, Shailesh; Bonfitto, Angelo; Amati, Nicola
Effects of Recycled Permanent Magnets on Electric Machine and Hybrid Electric Vehicle Performances
2023 Pakštys, Saulius; Bonfitto, Angelo; Hegde, Shailesh; Ugalde, Gaizka; Garramiola, Fernando; Rivera, Christian Alejandro
Electric machine and battery sizing for hybrid electric heavy-duty vehicles
2023 Hegde, Shailesh; Bonfitto, Angelo; Castellanos Molina, Luis M.
Off-Board Testing Device for Battery Diagnostics and Market Analysis for Battery Reuse
2023 Ponso, Alberto; Bonfitto, Angelo; Silvagni, Mario; Luciani, Sara
Ultracapacitors in Light Duty Hybrid Electric Vehicle Energy Storage Systems: Technical Impact and Economic Perspectives
2023 Pakštys, Saulius; Bonfitto, Angelo; Hegde, Shailesh
Adaptive LQR Control for a Rear-Wheel Steering Battery Electric Vehicle
2022 Tramacere, Eugenio; Castellanos, Luis Miguel Molina; Amati, Nicola; Tonoli, Andrea; Bonfitto, Angelo
Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles
2022 Luciani, Sara; Feraco, Stefano; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea; Quaggiotto, Maurizio
Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications
2022 Luciani, Sara; Feraco, Stefano; Silvagni, Mario; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea
Comparison of two control strategies for range extender hybrid electric vehicles
2022 Keldiyarova, Malika; Ruzimov, Sanjarbek; Bonfitto, Angelo; Mukhitdinov, Akmal
Crankshaft Decoupling Effects on Fuel Economy in HEV-P0
2022 Hegde, Shailesh; Castellanos Molina, Luis M.; Bonfitto, Angelo; Galluzzi, Renato; Amati, Nicola; Tonoli, Andrea
Enabling Rapid State of Health Offline Estimation of a 48V Lithium-Ion Battery Pack
2022 Luciani, Sara; Anselma, Pier Giuseppe; Silvagni, Mario; Bonfitto, Angelo; Tonoli, Andrea
Grey-Box Identification of a Cone-Shaped Active Magnetic Bearing System
2022 Castellanos Molina, Luis M.; Galluzzi, Renato; Bonfitto, Angelo; Circosta, Salvatore; Ramirez-Mendoza, Ricardo A.
Operational Considerations for Active Electromagnetic Suspension Systems
2022 Galluzzi, Renato; Ramirez-Mendoza, Ricardo A.; Circosta, Salvatore; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea
A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles
2021 Luciani, Sara; Feraco, Stefano; Bonfitto, Angelo; Tonoli, Andrea; Amati, Nicola; Quaggiotto, Maurizio
Assessing Impact of Heavily Aged Batteries on Hybrid Electric Vehicle Fuel Economy and Drivability
2021 Anselma, Pier Giuseppe; Kollmeyer, Phillip J.; Feraco, Stefano; Bonfitto, Angelo; Belingardi, Giovanni; Emadi, Ali; Amati, Nicola; Tonoli, Andrea
Local Trajectory Planning for Autonomous Racing Vehicles Based on the Rapidly-Exploring Random Tree Algorithm
2021 Tramacere, Eugenio; Luciani, Sara; Feraco, Stefano; Circosta, Salvatore; Khan, Irfan; Bonfitto, Angelo; Amati, Nicola
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Novel Economic Model Predictive Control for Adaptive Cruise Control in Electric Vehicles / Pagone, Michele; Acampora, Mattia; Novara, Carlo; Bonfitto, Angelo. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno International Design Engineering Technical Conferences & Computers and Information in Engineering Conference tenutosi a Anaheim (USA) nel 17-20 Agosto, 2025). | In corso di stampa | Michele PagoneCarlo NovaraAngelo Bonfitto + | ASME2025_Manuscript.pdf |
| A Study on Combined Lithium and Sodium-Ion Hybrid Energy Storage Systems in Battery Electric Vehicles / Foti, Orazio; Pakstys, Saulius; Bonfitto, Angelo. - 1:(2024). (Intervento presentato al convegno Advances in Vehicle Electrification and Powertrain Design tenutosi a Washington, D.C., United States of America nel 25 - 28 August 2024) [10.1115/detc2024-143419]. | 1-gen-2024 | Foti, OrazioPakstys, SauliusBonfitto, Angelo | - |
| Aggressive Driving Behavior Detection Using Integrated I-DBSCAN and LSTM Neural Network / Chen, Hao; Hegde, Shailesh; Bonfitto, Angelo. - 1:(2024). (Intervento presentato al convegno ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2024 tenutosi a JW Marriott Washington, usa nel 2024) [10.1115/detc2024-143462]. | 1-gen-2024 | Hegde, ShaileshBonfitto, Angelo + | - |
| Fuel Consumption Reductions in Heavy-Duty Vehicles With Crank Pulley Decoupler Mounted Engines / Pakstys, Saulius; Hegde, Shailesh; Bonfitto, Angelo. - 1:(2024). (Intervento presentato al convegno Advances in Vehicle Electrification and Powertrain Design tenutosi a Washington D.C., United States of America nel 25 - 28 August 2024) [10.1115/detc2024-145589]. | 1-gen-2024 | Pakstys, SauliusHegde, ShaileshBonfitto, Angelo | - |
| Machine Learning-Based Method for Energy Economy Driver Assistance / Chen, Hao; Hegde, Shailesh; Bonfitto, Angelo; Amati, Nicola. - (2024), pp. 476-481. (Intervento presentato al convegno 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 tenutosi a Politecnico di Milano - Polo Territoriale di Lecco, ita nel 2024) [10.1109/rtsi61910.2024.10761751]. | 1-gen-2024 | Hegde, ShaileshBonfitto, AngeloAmati, Nicola + | - |
| Effects of Recycled Permanent Magnets on Electric Machine and Hybrid Electric Vehicle Performances / Pakštys, Saulius; Bonfitto, Angelo; Hegde, Shailesh; Ugalde, Gaizka; Garramiola, Fernando; Rivera, Christian Alejandro. - 1:(2023). (Intervento presentato al convegno ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a Boston, Massachussetts, USA nel August 20-23, 2023) [10.1115/DETC2023-114893]. | 1-gen-2023 | Pakštys, SauliusBonfitto, AngeloHegde, Shailesh + | v001t01a006-detc2023-114893_PUBLIC.pdf |
| Electric machine and battery sizing for hybrid electric heavy-duty vehicles / Hegde, Shailesh; Bonfitto, Angelo; Castellanos Molina, Luis M.. - ELETTRONICO. - Volume 1: 25th International Conference on Advanced Vehicle Technologies (AVT):(2023). (Intervento presentato al convegno ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a Boston, Massachusetts nel August 20–23, 2023) [10.1115/DETC2023-114898]. | 1-gen-2023 | Shailesh HegdeAngelo BonfittoLuis M. Castellanos Molina | - |
| Off-Board Testing Device for Battery Diagnostics and Market Analysis for Battery Reuse / Ponso, Alberto; Bonfitto, Angelo; Silvagni, Mario; Luciani, Sara. - ELETTRONICO. - 1:(2023). (Intervento presentato al convegno ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a Boston (USA) nel August 20-23 2023) [10.1115/detc2023-116596]. | 1-gen-2023 | Ponso, AlbertoBonfitto, AngeloSilvagni, MarioLuciani, Sara | - |
| Ultracapacitors in Light Duty Hybrid Electric Vehicle Energy Storage Systems: Technical Impact and Economic Perspectives / Pakštys, Saulius; Bonfitto, Angelo; Hegde, Shailesh. - 1:(2023). (Intervento presentato al convegno 25th International Conference on Advanced Vehicle Technologies tenutosi a Boston, Massachusetts nel 20th-23rd August 2023) [10.1115/detc2023-116663]. | 1-gen-2023 | Pakštys, SauliusBonfitto, AngeloHegde, Shailesh | ASME_2023_Ultracapacitors_Final.pdf |
| Adaptive LQR Control for a Rear-Wheel Steering Battery Electric Vehicle / Tramacere, Eugenio; Castellanos, Luis Miguel Molina; Amati, Nicola; Tonoli, Andrea; Bonfitto, Angelo. - (2022), pp. 1-6. (Intervento presentato al convegno Vehicle Power and Propulsion Conference (VPPC) tenutosi a Merced, CA, USA nel 01-04 November 2022) [10.1109/VPPC55846.2022.10003308]. | 1-gen-2022 | Tramacere, EugenioCastellanos, Luis Miguel MolinaAmati, NicolaTonoli, AndreaBonfitto, Angelo | - |
| Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles / Luciani, Sara; Feraco, Stefano; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea; Quaggiotto, Maurizio. - ELETTRONICO. - (2022). (Intervento presentato al convegno ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a St.Louis, Missouri, USA nel 14-17 August, 2022) [10.1115/DETC2022-89512]. | 1-gen-2022 | Luciani, SaraFeraco, StefanoBonfitto, AngeloAmati, NicolaTonoli, Andrea + | v001t01a015-detc2022-89512.pdf |
| Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications / Luciani, Sara; Feraco, Stefano; Silvagni, Mario; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea. - ELETTRONICO. - (2022). (Intervento presentato al convegno ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a St. Louis, Missouri, USA nel 14-17 August, 2022) [10.1115/DETC2022-89454]. | 1-gen-2022 | Luciani, SaraFeraco, StefanoSilvagni, MarioBonfitto, AngeloAmati, NicolaTonoli, Andrea | v001t01a014-detc2022-89454.pdf |
| Comparison of two control strategies for range extender hybrid electric vehicles / Keldiyarova, Malika; Ruzimov, Sanjarbek; Bonfitto, Angelo; Mukhitdinov, Akmal. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 International Symposium on Electromobility, ISEM 2022 tenutosi a Tecnologico de Monterrey, mex nel 2022) [10.1109/isem55847.2022.9976663]. | 1-gen-2022 | Keldiyarova, MalikaRuzimov, SanjarbekBonfitto, Angelo + | - |
| Crankshaft Decoupling Effects on Fuel Economy in HEV-P0 / Hegde, Shailesh; Castellanos Molina, Luis M.; Bonfitto, Angelo; Galluzzi, Renato; Amati, Nicola; Tonoli, Andrea. - ELETTRONICO. - (2022). (Intervento presentato al convegno Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT) tenutosi a St. Louis, Missouri, USA nel August 14–17, 2022) [10.1115/DETC2022-90014]. | 1-gen-2022 | Hegde, ShaileshCastellanos Molina, Luis M.Bonfitto, AngeloGalluzzi, RenatoAmati, NicolaTonoli, Andrea | v001t01a016-detc2022-90014.pdf |
| Enabling Rapid State of Health Offline Estimation of a 48V Lithium-Ion Battery Pack / Luciani, Sara; Anselma, Pier Giuseppe; Silvagni, Mario; Bonfitto, Angelo; Tonoli, Andrea. - (2022), pp. 1-6. (Intervento presentato al convegno IEEE Conference on Vehicle Power and Propulsion (VPPC) tenutosi a Merced, CA, USA nel 01-04 November 2022) [10.1109/VPPC55846.2022.10003395]. | 1-gen-2022 | Luciani, SaraAnselma, Pier GiuseppeSilvagni, MarioBonfitto, AngeloTonoli, Andrea | Enabling_Rapid_State_of_Health_Offline_Estimation_of_a_48V_Lithium-Ion_Battery_Pack.pdf |
| Grey-Box Identification of a Cone-Shaped Active Magnetic Bearing System / Castellanos Molina, Luis M.; Galluzzi, Renato; Bonfitto, Angelo; Circosta, Salvatore; Ramirez-Mendoza, Ricardo A.. - ELETTRONICO. - 347:(2022), pp. 148-163. (Intervento presentato al convegno 3rd Latin American Congress on Automation and Robotics-LACAR tenutosi a Monterrey (Mex) nel 17–19 November, 2021) [10.1007/978-3-030-90033-5_17]. | 1-gen-2022 | Castellanos Molina, Luis M.Galluzzi, RenatoBonfitto, AngeloCircosta, Salvatore + | - |
| Operational Considerations for Active Electromagnetic Suspension Systems / Galluzzi, Renato; Ramirez-Mendoza, Ricardo A.; Circosta, Salvatore; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea. - ELETTRONICO. - (2022). (Intervento presentato al convegno ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a St. Louis, Missouri, USA nel 14-17 August, 2022) [10.1115/DETC2022-89393]. | 1-gen-2022 | Galluzzi, RenatoCircosta, SalvatoreBonfitto, AngeloAmati, NicolaTonoli, Andrea + | v001t01a010-detc2022-89393.pdf |
| A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles / Luciani, Sara; Feraco, Stefano; Bonfitto, Angelo; Tonoli, Andrea; Amati, Nicola; Quaggiotto, Maurizio. - (2021). (Intervento presentato al convegno ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference) [10.1115/DETC2021-68469]. | 1-gen-2021 | Luciani, SaraFeraco, StefanoBonfitto, AngeloTonoli, AndreaAmati, Nicola + | A Machine Learning Method For State Of Charge Estimation In Lead-Acid Batteries For Heavy-Duty Vehicles.pdf |
| Assessing Impact of Heavily Aged Batteries on Hybrid Electric Vehicle Fuel Economy and Drivability / Anselma, Pier Giuseppe; Kollmeyer, Phillip J.; Feraco, Stefano; Bonfitto, Angelo; Belingardi, Giovanni; Emadi, Ali; Amati, Nicola; Tonoli, Andrea. - (2021), pp. 696-701. (Intervento presentato al convegno 2021 IEEE Transportation Electrification Conference & Expo (ITEC) tenutosi a Virtual nel 21-25 June 2021) [10.1109/ITEC51675.2021.9490149]. | 1-gen-2021 | Anselma, Pier GiuseppeFeraco, StefanoBonfitto, AngeloBelingardi, GiovanniAmati, NicolaTonoli, Andrea + | Assessing_Impact_of_Heavily_Aged_Batteries_on_Hybrid_Electric_Vehicle_Fuel_Economy_and_Drivability_proceedings.pdf; Anselma_ITEC21_preprint.pdf |
| Local Trajectory Planning for Autonomous Racing Vehicles Based on the Rapidly-Exploring Random Tree Algorithm / Tramacere, Eugenio; Luciani, Sara; Feraco, Stefano; Circosta, Salvatore; Khan, Irfan; Bonfitto, Angelo; Amati, Nicola. - (2021). (Intervento presentato al convegno ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference) [10.1115/DETC2021-67434]. | 1-gen-2021 | Tramacere, EugenioLuciani, SaraFeraco, StefanoCircosta, SalvatoreKhan, IrfanBonfitto, AngeloAmati, Nicola | v001t01a009-detc2021-67434.pdf |