Ricerca CERCA


Development of a light-duty hybrid vehicle model in GT-SUITE environment


Gruppi di ricerca PT-ERC

Descrizione FRAMEWORK
Significant research efforts in reducing CO 2 and pollutant emissions from the transport sector are currently ongoing. To this aim, several technologies are under investigation, among which the electrification of the powertrain will surely play a significant role in the next decades. However, considering that fully electric vehicles are still facing limitations in terms of driving range, costs, needed infrastructure and safety, hybrid electric vehicles (HEVs), which include an internal combustion engine (ICE) and one or more electric machines, are expected to play a significant role in the near future. This is particularly true for light-duty and heavy-duty applications, for which diesel engines remain the most competitive solution. Therefore, research efforts in improving their environmental impact are still ongoing.
The present thesis work will be carried out within this framework, and will be focused on the development of a dynamic model of a light-duty hybrid vehicle in GT-SUITE environment.

 Task 1. Literature research concerning the state of the art in dynamic modeling of light-duty hybrid vehicles.
 Task 2. Development of a dynamic model of a light-duty vehicle in GT-suite environments, starting from an already developed model of a conventional light-duty vehicle.
 Task 3: Assessment of the model and integration of a simple-rule-based strategy for the energy flow optimization

Vedi anche  proposta di tesi di laurea - vehicle modeling.docx 

Conoscenze richieste - Basic knowledge of GT-SUITE environment, but not mandatory. Specific tutorials will be carried out at the beginning of the activity.
- Basic knowledge on hybrid powertrains

Note Expected learning outcomes
 The student will acquire high level skills on the use of GT-SUITE software, as well as on hybrid powertrain / vehicle modeling.

Available material
 GT-SUITE tutorials, bibliography

 The activity will be supervised also by PhD students

Scadenza validita proposta 25/10/2024      PROPONI LA TUA CANDIDATURA