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Selection criteria of fuel pumps is mainly based on hydraulic performance and consumption level of electric current under a given operational pressure and voltage. This paper presents the development process of 1D simulation model of fuel pump for flex-fuel application built on Amesim®. This functional model integrates data from computational fluid dynamics and electric simulation software and it aims to assist selection and specification of proper pump components to fulfill application requirement stablishing a better first-time product capability. Results show a good correlation with real prototypes.

One traditional solution to start an internal combustion engine is the starter motor. Little has been changed in its operational dynamics and conception, even after several design optimization processes. This fact stems from the absence of application of an analysis tool capable of showing the existing relations between its subgroups and the functions performed. But, once that these relations are explained and the basics functions are revealed, it is possible to generate a group of new technical solutions to perform the same functions. In order to achieve this goal, the present work applied a Morphological Analysis on the group of functions that is necessary and sufficient for a starter motor. The analysis of the Morphological Field revealed the nowadays trend of technical solutions and some solutions that hasn't been explored yet.

The automotive industry's recent push towards developing electric and hybrid electric vehicles is a direct response to the growing global pressure due to environmental concerns and has resulted in a search for significantly cleaner and more efficient vehicles. Not only, in order to achieve its purpose, has this search highly depended on the development of advanced technologies. Among all systems and subsystem from a vehicle the powertrain system is going to be the focus of this work. The main goal of the present work is to get a complete mapping of all the functions, components and flows of information and energy, through the application of an existing methodology of analysis, known for “function structure technique”, on the described product. Therefore, this mapping will supply a better understanding of the product architecture. First of all, the composed system, for the hybrid vehicle powertrain, is divided hierarchically in subsystems according to the existing assemblies.

This paper focus on the analysis of energy management for hybrid electric vehicles. The development of higher efficiency vehicles depends on the analysis of vehicle characteristics and driving conditions. Sizing the energy capacity of the storage system and defining the type of components, batteries or other kinds of electric components has a direct influence over the performance, consumption and autonomy of the vehicle. The forces involved in a vehicle movement such as aerodynamic drag, rolling resistance, grading resistance, are fully dependent on the conditions of the route; most situations should be represented on the driving pattern cycle, used for emissions and consumption tests, which will be presented and discussed. Modeling vehicle dynamic to analyze power and energy requirements of the vehicle during different test cycles provides an indication of the influence of hybrid technology in performance and fuel consumption.