8 April 2022

• Luigi Lacaita. Studio parametrico di un algoritmo di Deep Reinforcement Learning per la gestione energetica di un veicolo ibrido elettrico = Parametric study of a Deep Reinforcement Learning algorithm for the energy management of a hybrid electric vehicle. Rel. Ezio Spessa, Claudio Maino, Matteo Acquarone. Politecnico di Torino, Master of science program in Mechanical Engineering, 2022
  

  

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20 December 2022

• Luca Sassara. Cooperative Adaptive Cruise Control based on Reinforcement Learning for heavyweight BEVs. Rel. Daniela Anna Misul, Matteo Acquarone. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2022

17 July 2023

• Pasquale Ciccullo. Reinforcement Learning for Hybrid/electric vehicle: Analysis and performance of reward functions in a real-time algorithm for P2-HEV. Rel. Ezio Spessa, Claudio Maino, Matteo Acquarone, Daniela Anna Misul. Politecnico di Torino, Master of science program in Automotive Engineering, 2023
  

  

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22 October 2024

• Alessandra Daniele. Anomalies detection in high voltage batteries of hybrid and electric vehicles. Rel. Ezio Spessa, Daniela Anna Misul, Federico Miretti, Matteo Acquarone. Politecnico di Torino, Master of science program in Automotive Engineering, 2024
• Alessandro Porcelli. Battery Circuital Modelling and SOC Estimation with Extended Kalman Filter: Software Simulations and Real-Time Hardware-in-the-Loop Validation. Rel. Daniela Anna Misul, Federico Miretti, Matteo Acquarone, Bernardo Sessa. Politecnico di Torino, Master of science program in Automotive Engineering, 2024

19 March 2025

• Michele Barale. Predictive control strategies for electric vehicles thermal management system. Rel. Daniela Anna Misul, Federico Miretti, Matteo Acquarone. Politecnico di Torino, Master of science program in Automotive Engineering, 2025
  

  

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