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

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.