Emanuele Lavenia
Energy flow management of P2 hybrid vehicle based on ADAS sensors.
Rel. Angelo Bonfitto, Alessandro Damino. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2022
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview |
Abstract
The optimization of consumption is one of the main challenges of today’s automotive world. The increasing imposed restrictions require seeking means to reduce consumption. The proposed work aims to reduce the consumption of an existing vehicle through the exploitation of currently available technologies. The vehicle is characterized by a P2 parallel type full-hybrid electric architecture. In this context three possible approaches are used. The first involves the study and comparison between the automatic transmission present in the standard vehicle and a Dual Clutch Transmission (DCT). This comparison wanted to evaluate the efficiency performance among different control logics implemented in the DCT and the automatic transmission.
For the evaluation, the energy required for the imposition of a load state is measured
Tipo di pubblicazione
URI
![]() |
Modifica (riservato agli operatori) |
