Francesca Delleani
Computationally Efficient Modelling of Electric Vehicle Thermal Systems.
Rel. Aldo Sorniotti, Mauro Velardocchia, Luca Ciravegna, Fabio Alberti. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2025
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (9MB) | Preview |
Abstract
The increasing adoption of electric vehicles and stringent global sustainability targets highlighted the challenge of improving energy efficiency, particularly through an optimisation of the thermal management system. Considering this, the aim of this thesis is to develop in Matlab/Simulink a model of the Thermal Management System (TMS) that can serve as a foundation for the future implementation of a Model Predictive Control (MPC) strategy, designed to maximise energy efficiency while keeping the battery and cabin within the desired thermal limits. To achieve this, two complementary modelling approaches are developed: a Physics-based model and a data-driven model. The Physics-based model is based on fundamental thermodynamic laws and is implemented using simplified equations.
Its main advantage lies in being usable immediately, in complete independence from a possible database
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
URI
![]() |
Modifica (riservato agli operatori) |
