---

Nell'ambito del programma Visiting Professor/Scientist 2025, e finanziato dalla LR 7/2007 della Regione Autonoma della Sardegna, il Prof. Oscar Castillo Campo della Universidad Nebrija (Madrid, Spagna), terrà un workshop dal titolo “Optimisation techniques for vehicle fleet electrification: a practical approach” rivolto a studentɘ, dottorandɘ, ricercatorɘ e a tuttɘ coloro fossero interessatɘ.

Le lezioni saranno in lingua inglese e avranno una durata di 20 ore, con lezioni giornaliere di 3-4 ore. Il workshop si terrà tra il 15 e il 30 Giugno 2026 (il calendario è in fase di definizione) presso la Facoltà di Ingegneria, in Via Marengo 2, Cagliari. Al fine di facilitare la definizione di un calendario agevole per tuttɘ, è gradita manifestazione di interesse tramite la compilazione del questionario a questo link. Per partecipare sarà richiesta conferma d'iscrizione.

Per informazioni, contattare il docente referente, Mario Porru, all'indirizzo email mario.porru@unica.it.

# Overview

Professor Oscar Castillo Campo – Universidad Nebrija, Madrid (Spain)
Seminar title: Optimisation techniques for vehicle fleet electrification: a practical approach
Total hours: 20
Start and end date: from June 15th to June 30th, 2026
Hours per session: 2-4
Format: In-person, theoretical and practical classes and final exam
Language: English

# Description

Transport companies are increasingly adopting sustainable and cost-efficient solutions in urban people mobility and freight distribution, with fleet electrification being a key strategy. Battery and Hybrid Electric Vehicles (BEVs and HEVs) are currently the most common alternatives, while Hydrogen-powered vehicles (HPV) may soon emerge as another viable option. However, electric fleets face operational challenges, including limited range, charging times, infrastructure needs, and economic feasibility. This workshop presents a practical approach to optimization tools for supporting the strategic decision-making in the management of heterogeneous fleets, combining economic analysis and corporate emissions reporting, and conducting a joint assessment of multiple electric powertrains for vans and their respective refueling infrastructures. Therefore, is possible to determine the optimal fleet composition over the established planning horizon. Findings indicate that BEVs and HPVs can outperform conventional fleets, achieving cost reductions and a lower environmental impact. Participants will explore real-world applications of complex decision-making methods, gaining insights into emission reduction, cost-per-kilometer analysis, and fleet transition strategies. The workshop is designed for master's and PhD students seeking future solutions for urban fleet electrification.

# Addressed to

This event is ideal for Bachelor’s, Master’s, and PhD students and researchers seeking to advance their expertise in modern electric machine control. Two CFUs may be approved (pending decision) for master’s students in Energy Engineering and Electrical Engineering (final exam/test is required). For other students, please contact your course coordinator.

# Syllabus and schedule

1. Chapter 1. Optimal Replacement Cycles: Key Features Evaluated: i) Fleet Operator Prospects; ii) Environmental Concerns; iii) Practical exercise
2. Chapter 2. Analysis of objective modelling strategies for fleet optimisation: i) Cost evaluation methodologies; ii) Methodology for carbon footprint assessment; iii) Practical exercise
3. Chapter 3. Optimisation approaches for fleet management systems: i) Fleet management problems; ii) Optimisation problems: basics; iii) Methods for solving optimization problems; iv) Practical exercise
4. Chapter 4. Optimization models for vehicle replacement in urban freight transport fleets: i) Problem statement. Input data; ii) Modeling vehicle replacement strategies in urban freight fleet optimization; iii) Structure of the optimization model; iv) Mathematical formulation for the optimization model; v) Practical exercise: Algorithm development for the optimization problem
5. Chapter 5:  Optimization under uncertainty, determining the optimal fleet mix: i) Planification under uncertainty; ii) Scenario modeling, sensitive and breakeven analysis methodology; iii) Practical exercise
6. Final Exam

# Schedule (draft)

15-30 June 2026 (To be defined)