polito.it
Politecnico di Torino (logo)

Development of Control Strategy for BMW i3 Range extender

Malika Keldiyarova

Development of Control Strategy for BMW i3 Range extender.

Rel. Angelo Bonfitto, Sanjarbek Ruzimov, Marcello Chiaberge, Igor Simone Stievano. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2022

[img]
Preview
PDF (Tesi_di_laurea) - Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives.

Download (11MB) | Preview
[img] Archive (ZIP) (Documenti_allegati) - Other
Licenza: Creative Commons Attribution Non-commercial No Derivatives.

Download (19MB)
Abstract:

Development of Control Strategy for BMW i3 Range extender Demands for more efficient vehicles with reduced fuel consumption and low emissions are growing rapidly in these days. Generally, they can create a competition among automakers in the worldwide. In order to satisfy these kind of factors manufacturing of hybrid electrical vehicles (HEV) can be regarded one of the solution. The main purpose of this work is to develop control strategy for Range Extender electrical vehicle (EV) model. Furthermore, finding optimum operating line of the engine in Range Extender EVs and in order to reach the purposive target 2014 BMW i3 Range Extender EV has been selected as a case study. It is a series-type hybrid range extended vehicle which consists of a 0.635L in-line 2-cylinder engine with a 26.6kW generator, 125kW permanent magnet synchronous AC motor, and 18.8kWh lithium-ion battery [1]. Vehicle model with the proposed control strategy and numerical analysis have been performed and analyzed in MATLAB/Simulink software under UDDS and US06 driving cycle. Finally, vehicle model has been validated under selected drive cycle and compared with the experimental test data has been taken from Downloadable Dynamometer Database (D3) testing results which experimented at Argonne national laboratory. All comparing results and conclusions are given in this thesis.

Relators: Angelo Bonfitto, Sanjarbek Ruzimov, Marcello Chiaberge, Igor Simone Stievano
Academic year: 2021/22
Publication type: Electronic
Number of Pages: 76
Subjects:
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: New organization > Master science > LM-25 - AUTOMATION ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/22862
Modify record (reserved for operators) Modify record (reserved for operators)