
Dottorato in Ingegneria Meccanica , 35o ciclo (2019-2022)
Dottorato concluso nel 2023
Tesi:
Energy management control strategies for Hybrid Electric Vehicles and benefits of Machine Learning in cooperative intelligent transportation systems (Abstract)
Tutori:
Nicola AmatiDidattica
Collegi dei Corsi di Studio
- Collegio di Ingegneria Meccanica, Aerospaziale e dell'Autoveicolo. Componente invitato
Insegnamenti
Corso di laurea magistrale
- E-powertrain components. A.A. 2022/23, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
Ricerca
Gruppi di ricerca
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Hegde, SHAILESH SUDHAKARA; Bonfitto, Angelo; Galluzzi, Renato; CASTELLANOS MOLINA, LUIS ... (2023)
Equivalent Consumption Minimization Strategy Based on Belt Drive System Characteristic Maps for P0 Hybrid Electric Vehicles. In: ENERGIES, vol. 16. ISSN 1996-1073
Contributo su Rivista - Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Amati, Nicola; Deflorio, FRANCESCO ... (2023)
A Deep Reinforcement Learning Approach for Efficient, Safe and Comfortable Driving. In: APPLIED SCIENCES, vol. 13. ISSN 2076-3417
Contributo su Rivista - Hegde, Shailesh; Selvaraj, DINESH CYRIL; Amati, Nicola; Deflorio, Francesco; ... (2023)
Cooperative adaptive cruise control and energy management for hevs usign reingorcement learning. In: FISITA 2023 World Congress, Barcelona (Spain), 12 – 15 September 2023
Contributo in Atti di Convegno (Proceeding) - Manca, Raffaele; Castellanos Molina, Luis MIguel; Hegde, Shailesh; Tonoli, Andrea; ... (2023)
Optimal Torque-Vectoring Control Strategy for Energy Efficiency and Vehicle Dynamic Improvement of Battery Electric Vehicles with Multiple Motors. In: WCX SAE World Congress Experience, Detroit (USA), 17 - 19 /04/2023, pp. 1-12. ISSN 0148-7191
Contributo in Atti di Convegno (Proceeding) - Selvaraj, Dinesh Cyril; Hegde, Shailesh; Amati, Nicola; Deflorio, Francesco; ... (2023)
An ML-aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers. In: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, vol. 8, pp. 1686-1698. ISSN 2379-8858
Contributo su Rivista - Pakštys, Saulius; Bonfitto, Angelo; Hegde, Shailesh; Ugalde, Gaizka; Garramiola, ... (2023)
Effects of Recycled Permanent Magnets on Electric Machine and Hybrid Electric Vehicle Performances. In: ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Boston, Massachussetts, USA, August 20-23, 2023. ISBN: 978-0-7918-8728-8
Contributo in Atti di Convegno (Proceeding) - Hegde, SHAILESH SUDHAKARA (2023)
Energy management control strategies for Hybrid Electric Vehicles and benefits of Machine Learning in cooperative intelligent transportation systems. relatore: AMATI, NICOLA; , 35. XXXV Ciclo, P.: 151
Doctoral Thesis - Hegde, Shailesh; Bonfitto, Angelo; Castellanos Molina, Luis M. (2023)
Electric machine and battery sizing for hybrid electric heavy-duty vehicles. In: ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Boston, Massachusetts, August 20–23, 2023
Contributo in Atti di Convegno (Proceeding) - Pakštys, Saulius; Bonfitto, Angelo; Hegde, Shailesh (2023)
Ultracapacitors in Light Duty Hybrid Electric Vehicle Energy Storage Systems: Technical Impact and Economic Perspectives. In: 25th International Conference on Advanced Vehicle Technologies, Boston, Massachusetts, 20th-23rd August 2023
Contributo in Atti di Convegno (Proceeding) - Hegde, Shailesh; Castellanos Molina, Luis M.; Bonfitto, Angelo; Galluzzi, Renato; Amati, ... (2022)
Crankshaft Decoupling Effects on Fuel Economy in HEV-P0. In: Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), St. Louis, Missouri, USA, August 14–17, 2022. ISBN: 978-0-7918-8620-5
Contributo in Atti di Convegno (Proceeding) - Ferri, Gaetano; Pennazza, Mario; Bucci, Riccardo; Tonoli, Andrea; Amati, Nicola; ... (2022)
Method for controlling a hybrid powertrain and hybrid powertrain operating according to such a method. N. brevetto: US20240157930A1, propr. brevetto: 4 - Soggetti terzi
Brevetti - Hegde, Shailesh; Bonfitto, Angelo; Rahmeh, Hadi; Amati, Nicola; Tonoli, Andrea (2021)
Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles. In: ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Virtuale, online, 17-19/2021, pp. 1-9. ISBN: 978-0-7918-8536-9
Contributo in Atti di Convegno (Proceeding) - Selvaraj, DINESH CYRIL; Hegde, Shailesh; Chiasserini, Carla Fabiana; Amati, Nicola; ... (2021)
A Full-fledge Simulation Framework for the Assessment of Connected Cars. In: 23rd EURO Working Group on Transportation Meeting, EWGT, Paphos, Cyprus, 16-18 September 2020, pp. 315-322. ISSN 2352-1465
Contributo in Atti di Convegno (Proceeding) - Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Amati, Nicola; Chiasserini, Carla ... (2021)
A Reinforcement Learning Approach For Efficient, Safe and Comfortable Driving. In: THE 24TH EURO WORKING GROUP ON TRANSPORTATION MEETING (EWGT) 2021, Virtual conference due to COVID-19, September 2021
Contributo in Atti di Convegno (Proceeding) - Galluzzi, Renato; Feraco, Stefano; Zenerino, Enrico C; Tonoli, Andrea; Bonfitto, Angelo; ... (2020)
Fatigue monitoring of climbing ropes. In: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART P, JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY. ISSN 1754-3371
Contributo su Rivista - Bonfitto, Angelo; Ezemobi, ETHELBERT NWABUGWU; Amati, Nicola; Feraco, Stefano; Tonoli, ... (2019)
State of Health Estimation of Lithium Batteries for Automotive Applications with Artificial Neural Networks. In: 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), Torino, pp. 1-5. ISBN: 978-8-8872-3743-6
Contributo in Atti di Convegno (Proceeding)
Società e imprese
Brevetti e altre proprietà intellettuali
- P0+ METODO PER IL CONTROLLO DI UN GRUPPO MOTOPROPULSORE IBRIDO E MOTOPROPULSORE IBRIDO OPERANTE SECONDO TALE METODO. Brevetto nazionale
Inventori: Nicola Amati Angelo Bonfitto Renato Galluzzi Shailesh Sudhakara Hegde Andrea Tonoli Enrico Cesare Zenerino