Andrija Aleksic


PhD Candidate in Industrial and Automotive Engineering

Expertise in Energy Transition and Advanced Energy Storage Systems


University of Rome Tor Vergata

| Digital Twins
| Hybrid Energy Storage Systems for EVs
| HIL Modelling and Simulations
| Power Electronics for EVs

Location
Rome, Italy IT
Contact
andrija.aleksic@alumni.uniroma2.eu andrijaaleksic10@gmail.com
Andrija Aleksic
About Me

Short Professional Bio

I am a doctoral research 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. Driven to apply specialized knowledge and commitment to high-stakes, performance-driven environments,with a clear career objective to contribute to the technological advancements of Formula 1 engineering.

Experience

Professional History

2024 - Present
C-PED Lab

HIL Modelling and Simulation Engineer

  • Modeling and simulation of Power Electronics Systems in MATLAB/Simulink and Typhoon HIL.
  • Developing Digital Twins for Supercapacitors and Hybrid Energy Storage Systems (HESS).
  • Thermal Modelling of Supercapacitors.
2018 - 2022
GenAl Software Company

IoT Engineer

  • Embedded Software Engineer developing firmware for microcontrollers and data acquisition systems for IoT applications.
  • Software Engineer developing software applications using Delphi and C.
  • Developed back-end functionalities for a web application, contributing to the automation of CNC machine centers.
Education

Academic Achievements

Visiting PhD Research Student

Newcastle University, United Kingdom
2026 United Kingdom

Digital Twins of Supercapacitors.
Thermal Modelling of Supercapacitors.
Supercapacitor Thermal Modelling for Electric Aircraft Applications.

Ph.D. in Industrial and Automotive Engineering

Tor Vergata University of Rome, Italy
2024 - Present Italy

Hybrid Energy Storage Systems with Batteries and Supercapacitors in EVs.
Digital Twins of Supercapacitors and HESS.
Thermal Modelling of Supercapacitors.

M.Sc. in Mechatronics Engineering

Tor Vergata University of Rome, Italy
2022 - 2024 Italy

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' .

Exchange Student

Norwegian University of Science and Technology (NTNU), Trondheim, Norway
2021 Norway

RAMS Engineering.
Systems Engineering.
Industrial Mechatronics.

B.Sc. in Control Systems and Automation

Faculty of Electrical Engineering, University of Nis, Serbia
2018 - 2022 Serbia

Control System Theory and Automation.
Electrical and electronics engineering.
Low-power electronics and microcontrollers.

Thesis on the topic of 'Modern Power units in Formula 1, with a special emphasis on Electronic Control Unit' .

Research

Academic Work

Selected Publications

Journal Publication

State-of-the-Art of Hybrid Energy Storage Systems for Electric Vehicles

A. Aleksic; C. Terlizzi; S. Bifaretti

IEEE Open Journal of Industry Applications DOI: 10.1109/OJIA.2026.3658824
2026

Hybrid Energy Storage System with Dual-Active Bridge Converter for Electric Vehicles and Sustainable Transportation

A. Aleksic; C. Terlizzi; S. Bifaretti

2025 23rd International Symposium on Power Electronics (Ee) DOI: 10.1109/Ee67693.2025.11227086
2025

Supercapacitor Modeling from Cell to Module Level via Robust Single-Test Parameter Identification

C. Terlizzi; D. De Simone; A. Aleksic; S. Marín-Coca; J. González-Monge

2025 International Conference on Clean Electrical Power (ICCEP) DOI: 10.1109/ICCEP65222.2025.11143637
2025

Presentations & Workshops

Poster Session:
Supercapacitor Thermal Model for EV Hybrid Energy Storage Systems: Towards Digital Twin

SAgE Faculty Research Conference 2026
Newcastle Upon Tyne
United Kingdom
2026

Poster Session:
Enhancing EV performance with Supercapacitor-based Hybrid energy storage system: Towards Digital Twin

Frontiers of Energy storages
Rome
Italy
2025

Oral presentation:
"HIL simulations of the Battery-Supercapacitor Hybrid Energy Storage System"

23rd International Symposium on POWER ELECTRONICS Ee2025
Belgrade
Serbia
2025

Poster Session:
Initial findings about Hybrid energy storage system with Dual-Active bridge interfacing battery and supercapacitor, for my Doctoral Thesis

European PhD School, organized by ECPE
Gaeta
Italy
2025

Journal Reviewer

I actively serve as a peer reviewer for the following journals:

  • IEEE Open Journal of Industry Application
  • IEEE Access Journal
Portfolio

Key Projects

Ongoing Research

Digital Twin of Supercapacitors

Problem addressed:

Accurate state estimation (State-of-Charge, State-of-Health and potential available energy for deployment) of Supercapacitors is critical for HESS performance, but parameters vary significantly with temperature and aging.

Solution:

Developing a high-fidelity electro-thermal Digital Twin using a physics-based Equivalent Circuit Model. Implementing advanced parameter identification algorithms that continuously update the model based on real-time sensor data.

Tech Stack
Digital Twin MATLAB/Simulink HIL Sensors SC CAN
Digital Twin Logo
Ongoing research

Real-time HIL Simulation of HESS

Problem addressed:

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.

Tech Stack
Typhoon HIL MATLAB HESS Energy Management System
Simulation Results
HIL Real-Time Simulation Results
Load Current Battery Current SC Current

Supercapacitor ESR App

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.

Problem addressed:

Replaces tedious, error-prone manual ESR calculation and curve fitting across varying temperatures and SOC levels with an automated solution.

Tech Stack
MATLAB App Data Analysis Supercapacitor

IoT Data Acquisition & Control

An intelligent ESP32-based data acquisition solution with a custom Golang backend, delivering automated fan and heater control through real-time temperature sensing.

Problem addressed:

Replaces manual heating and cooling interventions with automated, real-time monitoring to improve energy efficiency and prevent hardware damage.

Tech Stack
Golang Sensors ESP32 MQTT Edge Computing

Collaborations

Typhoon HIL Logo
Typhoon HIL
HIL Partner
Opal-RT HIL Logo
Opal-RT HIL
HIL Partner
Triphase Logo
Triphase (National Instruments)
HIL Partner
CapTop Logo
CapTop
Technology Partner
Maxwell Logo
Maxwell
Technology Partner
itechate Logo
ITECH
Technology Partner
regatron Logo
Regatron
Technology Partner
ENEA Logo
ENEA
Industry Partner
Certificates

Technical Certificates

Typhoon HIL – Specialist Certificate

HIL Academy

OpalRT HIL Certificate

RT-LAB

Machine and Deep Learning

University of Rome Tor Vergata

Engineering Research Impact

University of Rome Tor Vergata

Vehicle Dynamics in F1

Javier Bermejo (Audi F1 Team)

Certified Peer Reviewer

Elsevier Research Academy

Google Machine Learning Course Certificate

Google

Personal

Interests & Languages

Interests

Formula 1

Technical analysis

Electronics

Tech trends

History

20th century

Travelling

Exploring cultures

Languages

Serbian Flag Montenegro Croatia Bosnia Macedonia

Serbian / ex-Yugoslavian

Native

UK Flag

English

Fluent

Italian Flag

Italian

Fluent

German Flag

German

Basic Knowledge

Contact

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