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HEV modelling in Matlab-Simulink environment and control strategy design using Dynamic Programming and ECMS

Michele Giulio

HEV modelling in Matlab-Simulink environment and control strategy design using Dynamic Programming and ECMS.

Rel. Ezio Spessa, Roberto Finesso, Alessia Musa, Federico Miretti. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2021

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Abstract:

The aim of this master thesis work is to create a working model of a Hybrid Electric Vehicle architecture on SIMULINK platform, using SIMSCAPE add-on, which allows to easily deal with multi-domain environments. The architecture selected is a P2 Parallel Hybrid vehicle, and the main idea followed during the thesis work has been to create a model with a high compatibility level with respect to the already known Optimal Layout Tool, previously developed by other colleagues of Politecnico di Torino. In order to run a "gradual complexity" philosophy, a working Battery Electric Vehicle (BEV) model, and a working Conventional Vehicle (CV) model are first designed. At the end, a third Hybrid Electric Vehicle (HEV) model is created, using as much as possible components and strategies already designed in the two previous models. The thesis work starts with a brief introduction in which simulation and modeling advantages in engineering are described, and a first part is realized in collaboration with Riccardo Russo, in which some Optimal Layout Tool simulations are run to extrapolate best Hybrid Architectures for an heavy duty vehicle facing up a World Harmonized Vehicle Cycle (WHVC). In this first part, also a linear regression analysis of results is performed. The second part of the thesis is about the already cited BEV, CV, and HEV model design process. A third last part is instead focused on comparison between these 3 models realized on SIMULINK platform with the ones realized by Riccardo Russo on GT-DRIVE platform to assess how much results obtained are similar and which are the main reasons of eventual differences.

Relators: Ezio Spessa, Roberto Finesso, Alessia Musa, Federico Miretti
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 97
Subjects:
Corso di laurea: Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo)
Classe di laurea: New organization > Master science > LM-33 - MECHANICAL ENGINEERING
Aziende collaboratrici: Politecnico di Torino
URI: http://webthesis.biblio.polito.it/id/eprint/17493
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