PhD Candidate in Industrial and Automotive Engineering
University of Rome Tor Vergata
| Digital Twins
| Hybrid Energy Storage Systems for EVs
| HIL Modelling and Simulations
| Power Electronics for EVs
I am a doctoral student specializing in Hybrid Energy Storage Systems (HESS) for Electric Vehicles, with a focus on the development of Digital Twins for Supercapacitors and HESS. My work encompasses the use of Hardware-in-the-Loop (HIL) simulations to optimize system performance and longevity, as well as detailed thermal modeling of Supercapacitors. My long-term goal is to apply this expertise to pursue a career in Formula 1.
Hybrid Energy Storage Systems for Electric Vehicles.
Digital Twins of Supercapacitors and HESS.
Thermal Modelling of Supercapacitors.
Mechatronics Systems.
Robotics.
Power Electronics.
Thesis on the topic of
'Modelling and simulation of Dual Active Bridge DC DC converter for Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicles'
.
RAMS Engineering.
Systems Engineering.
Industrial Mechatronics.
Control System Theory and Automation.
Electrical and electronics engineering.
Thesis on the topic of
'Modern Power units in Formula 1, with a special emphasis on Electronic Control Unit'
.
A. Aleksic; C. Terlizzi; S. Bifaretti
A. Aleksic; C. Terlizzi; S. Bifaretti
C. Terlizzi; D. De Simone; A. Aleksic; S. Marín-Coca; J. González-Monge
I actively serve as a peer reviewer for the following journals:
Challenge: Accurate state estimation (State-of-Charge and State-of-Health) of Supercapacitors is critical for HESS performance, but parameters vary significantly with temperature and aging.
Solution: Developing a high-fidelity Digital Twin using a physics-based Equivalent Circuit Model. Implemented advanced parameter identification algorithms that continuously update the model based on real-time sensor data.
Challenge: Mitigating rapid battery degradation in electric vehicles caused by high peak power demands during modern driving cycles.
Solution: Developed an advanced power-splitting control strategy that directs high-frequency load fluctuations to the supercapacitor while reserving steady-state demand for the battery, achieving optimal performance and longevity. Fully validated through real-time HIL simulation.
A MATLAB-based automated ESR characterization tool that uses experimental temperature and resistance inputs to accurately identify the average equivalent series resistance of a single supercapacitor.
An intelligent ESP32-based data acquisition solution with a custom Golang backend, delivering automated fan and heater control through real-time temperature sensing.
HIL Academy
RT-LAB
University of Rome Tor Vergata
University of Rome Tor Vergata
Javier Bermejo (Audi F1 Team)
Elsevier Research Academy
Technical analysis
Tech trends
20th century
Exploring cultures
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