Matteo Acquarone

Tutori

• Daniela Anna Misul

• 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; Maino, Claudio; Misul, DANIELA ANNA; Spessa, Ezio; Mastropietro, ... (2023)
  Influence of the Reward Function on the Selection of Reinforcement Learning Agents for Hybrid Electric Vehicles Real-Time Control. In: ENERGIES, vol. 16. ISSN 1996-1073
  Contributo su Rivista
• Acquarone, Matteo; Anselma, Pier Giuseppe; Miretti, Federico; Misul, Daniela (2022)
  Battery temperature aware equivalent consumption minimization strategy for mild hybrid electric vehicle powertrains. In: 2022 IEEE Vehicle Power and Propulsion Conference (VPPC), Merced (USA), 01-04 November 2022, pp. 1-6. ISBN: 978-1-6654-7587-7
  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)