Titolo della tesi

Data driven techniques for on-board performance estimation and prediction in vehicular applications.

Tutori

• Daniela Anna Misul
• Ezio Spessa

Corso di laurea magistrale

• Energy management in hybrid and electric vehicles. A.A. 2020/21, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso

• Falai, Alessandro; Misul, DANIELA ANNA (2023)
  Data-Driven Model for Real-Time Estimation of NOx in a Heavy-Duty Diesel Engine. In: ENERGIES, vol. 16. ISSN 1996-1073
  Contributo su Rivista
• Falai, Alessandro; Giuliacci, Tiziano Alberto; Misul, Daniela Anna; Anselma, Pier ... (2022)
  Reducing the computational cost for artificial intelligence-based battery state-of-health estimation in charging events. In: BATTERIES, vol. 8. ISSN 2313-0105
  Contributo su Rivista
• Falai, Alessandro; Giuliacci, TIZIANO ALBERTO; Misul, DANIELA ANNA; Paolieri, Giacomo; ... (2022)
  Modeling and On-Road Testing of an Electric Two-Wheeler towards Range Prediction and BMS Integration. In: ENERGIES, vol. 15. ISSN 1996-1073
  Contributo su Rivista
• Anselma, Pier Giuseppe; Belingardi, Giovanni; Falai, Alessandro; Maino, Claudio; ... (2019)
  Comparing Parallel Hybrid Electric Vehicle Powertrains for Real-world Driving. In: 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), Torino, Italy, 2-4 July 2019, pp. 1-6. ISBN: 978-8-8872-3743-6
  Contributo in Atti di Convegno (Proceeding)