Dottorato in Energetica , 35o ciclo (2019-2022)
Dottorato concluso nel 2023
Tesi:
Development of Innovative Methodologies to Support the Design of Connected and Electrified Vehicles (Abstract)
Tutori:
Luciano Rolando Federico MilloProfilo
Argomento di ricerca
Exploiting V2X connections and advanced energy management strategies to achieve maximum CO2 reductio
Interessi di ricerca
Premi e riconoscimenti
- U.S. Patent Application: Battery management system for determining a health of a power source based on driving events. For confidentiality reasons, only the citation has been uploaded. (2023)
- First Prize for the Student Awards at the FISITA World Conference 2021, with the paper entitled: “Energy Management System Optimization Based on V2X Connectivity”. The Student Awards are awarded for the best 3 papers written and presented at Congress by an author under the age of 35. (2021)
- U.S. Patent Application: Battery management system for determining a health of a power source based on charging events. For confidentiality reasons, only the citation has been uploaded. (2023)
- U.S. Patent Application: Battery management system for determining a health of a power source based on an impedance indicator. For confidentiality reasons, only the citation has been uploaded. (2023)
Didattica
Insegnamenti
Corso di laurea magistrale
- Propulsori termici. A.A. 2022/23, INGEGNERIA MECCANICA. Collaboratore del corso
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Pulvirenti, L.; Rolando, L.; Millo, F. (2023)
Energy management system optimization based on an LSTM deep learning model using vehicle speed prediction. In: TRANSPORTATION ENGINEERING, vol. 11. ISSN 2666-691X
Contributo su Rivista - Millo, Federico; Rolando, Luciano; Tresca, Luigi; Pulvirenti, Luca (2023)
Development of a neural network-based energy management system for a plug-in hybrid electric vehicle. In: TRANSPORTATION ENGINEERING, vol. 11. ISSN 2666-691X
Contributo su Rivista - Pulvirenti, Luca (2023)
Development of Innovative Methodologies to Support the Design of Connected and Electrified Vehicles. relatore: ROLANDO, LUCIANO; MILLO, Federico; , 35. XXXV Ciclo, P.: 153
Doctoral Thesis - Pulvirenti, Luca; Tresca, Luigi; Rolando, Luciano; Millo, Federico (2023)
Eco-Driving Optimization Based on Variable Grid Dynamic Programming and Vehicle Connectivity in a Real-World Scenario. In: ENERGIES, vol. 16, pp. 4121-4139. ISSN 1996-1073
Contributo su Rivista - Pozzato, Gabriele; Allam, Anirudh; Pulvirenti, Luca; Negoita, Gianina Alina; Paxton, ... (2023)
Analysis and key findings from real-world electric vehicle field data. In: JOULE, vol. 7, pp. 2035-2053. ISSN 2542-4785
Contributo su Rivista - Galvagno, Enrico; Rolando, Luciano; Pulvirenti, Luca; Zerbato, Luca; Tresca, Luigi (2023)
Hybrid Electric Vehicle Platoon Control and Optimal Energy Management System for Fuel Economy, Safety, and Dynamic Performance. In: 16th IFToMM World Congress 2023, Tokyo, 5-9 Novembre 2023, pp. 980-991
Contributo in Atti di Convegno (Proceeding) - Millo, F; Rolando, L; Pulvirenti, L; Di Pierro, G (2022)
A Methodology for the Reverse Engineering of the Energy Management Strategy of a Plug -In Hybrid Electric Vehicle for Virtual Test Rig Development. In: SAE INTERNATIONAL JOURNAL OF ELECTRIFIED VEHICLES, vol. 11, pp. 113-132. ISSN 2691-3747
Contributo su Rivista - Millo, Federico; Rolando, Luciano; Pulvirenti, Luca (2021)
Energy Management System Optimization Based on V2X Connectivity. In: FISITA World Congress 2021, PRAGUE (CZ), 14–16 Settembre 2021. ISBN: 9781916025929
Contributo in Atti di Convegno (Proceeding)