Advanced algorithms for the simulation of Li-ion batteries
Antonello Di Cuia
Advanced algorithms for the simulation of Li-ion batteries.
Rel. Alessandro Rizzo. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2024
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (4MB) | Preview |
|
|
Archive (ZIP) (Documenti_allegati)
- Altro
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) |
Abstract
Reducing fossil fuel consumption requires efforts on the improvement of energy storage technologies. The Li-ion cell is the only technology that allows to do that in the most efficient ways. Bat-man is a novel technology that provides very accurate diagnosis of lead acid batteries. The purpose of the thesis is to understand and predict the behaviour of the Li-ion batteries. To do this, in absence of a real battery to charge and discharge, a Simulink model is built for the simulation. This model is a current controlled voltage generator and has high accuracy but also high complexity because of the presence of 3 RC groups.
To reduce the complexity of this, a new model with 1 RC group for the identification is built using the data collected from the previous one
Tipo di pubblicazione
URI
![]() |
Modifica (riservato agli operatori) |
