Dottorando in Energetica , 37o ciclo (2021-2024)
Dipartimento Energia (DENERG)
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Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Acquarone, Matteo; Miretti, Federico; Anselma, Pier Giuseppe; Misul, Daniela Anna (2024)
Online Temperature-aware Equivalent Consumption Minimization Strategy for Mild Hybrid Electric Powertrains. In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. ISSN 0018-9545
Contributo su Rivista - Biswas, Atriya; Acquarone, Matteo; Wang, Hao; Miretti, Federico; Misul, Daniela Anna; ... (2024)
Safe Reinforcement Learning for Energy Management of Electrified Vehicle with Novel Physics-Informed Exploration Strategy. In: IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION. ISSN 2332-7782
Contributo su Rivista - Acquarone, Matteo; Miretti, Federico; Misul, Daniela; Sassara, Luca (2023)
Cooperative Adaptive Cruise Control Based on Reinforcement Learning for Heavy-Duty BEVs. In: IEEE ACCESS, vol. 11, pp. 127145-127156. ISSN 2169-3536
Contributo su Rivista - Borneo, Angelo; Miretti, Federico; Acquarone, Matteo; Misul, Daniela (2023)
Battery Electric Vehicle Control Strategy for String Stability based on Deep Reinforcement Learning in V2V Driving. In: 16th International Conference on Engines & Vehicles, Capri, Italy, September 10th - 14th, 2023, pp. 1-7. ISSN 0148-7191
Contributo in Atti di Convegno (Proceeding) - Acquarone, Matteo; Borneo, Angelo; Misul, Daniela Anna (2022)
Acceleration control strategy for Battery Electric Vehicle based on Deep Reinforcement Learning in V2V driving. In: 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022, Anaheim, CA, USA, 15-17 June 2022, pp. 202-207
Contributo in Atti di Convegno (Proceeding)