
Ph.D. in Ingegneria Meccanica , 35th cycle (2019-2022)
Ph.D. obtained in 2023
Dissertation:
Energy management control strategies for Hybrid Electric Vehicles and benefits of Machine Learning in cooperative intelligent transportation systems (Abstract)
Tutors:
Nicola AmatiTeaching
Collegi of the degree programmes
- Collegio di Ingegneria Meccanica, Aerospaziale e dell'Autoveicolo. Componente invitato
Teachings
Master of Science
- E-powertrain components. A.A. 2022/23, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
Research
Research groups
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- 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 - Castellanos Molina, L. M.; Manca, R.; Hegde, S.; Amati, N.; Tonoli, A. (2023)
Predictive handling limits monitoring and agility improvement with torque vectoring on a rear in-wheel drive electric vehicle. In: VEHICLE SYSTEM DYNAMICS, vol. 62, pp. 2185-2209. ISSN 0042-3114
Contributo su Rivista - 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 - 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) - 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 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; 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) - 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
Society and Enterprise
Patents and other intellectual properties
- P0+ METODO PER IL CONTROLLO DI UN GRUPPO MOTOPROPULSORE IBRIDO E MOTOPROPULSORE IBRIDO OPERANTE SECONDO TALE METODO. national Patent
Inventors: Nicola Amati Angelo Bonfitto Renato Galluzzi Shailesh Sudhakara Hegde Andrea Tonoli Enrico Cesare Zenerino