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In order to improve efficiency and increase the operation of electric vehicles, assistive energy regeneration systems can be used. A hydraulic energy recovery system is modeled to be used as a regenerative system for supplementing energy storage for a pure electric articulated passenger bus. In this study a pump/motor machine is modeled to transform kinetic energy into hydraulic energy during braking, to move the hydraulic fluid from the low pressure reservoir to the hydraulic accumulator. The simulation of the proposed system was used to estimate battery savings. It was found that on average, approximately 39% of the battery charge can be saved when using a real bus driving cycle.

Evaporating diesel sprays from multi-hole nozzles have been visualized by means of a double-pass Shadowgraphy/Schlieren technique using a metal mirror attached on the injector-mount plane. Injection has been carried out in an inert environment of nitrogen gas in order to study the mixture process, avoiding mirror and glass window fouling by soot deposition from combustion. Studies have been carried out for four different gas densities during spray injection, changing pressure and temperature. The effect of optical system alignment on image characteristics has been analysed for different beam angles relative to the optical axis. This parameter was varied in a range of 2 degrees to define the optimal optical configuration. If the angle equals 0, the Shadowgraphy/Schlieren system using a light reception back from the metallic mirror captures the spatial gradients of ambient gas density, and turbulent flow structures are clearly registered.

The scope of this study is the analysis of the influence of boost pressure and injection pressure on combustion process and pollutant emissions. The influence of these parameters is investigated for different engine speeds. Fuel mass was kept constant for all the tests in order to avoid its influence on the analysis. A single cylinder research diesel engine, equipped with a common rail injection system capable of operating up to a maximum pressure of 150 MPa was used. Special attention was paid to NOx, smoke (which are the most important pollutants for legislation) and brake specific fuel consumption.

A study of the feasibility of using engine operating parameters to predict and minimise exhaust emissions from a direct injection H.D. Diesel engine through the use of Neural Networks (NN) was conducted. The objective is to create a mathematical tool that, learning from a large number of experimental data obtained under different operating conditions, is able to parametrize oxides of nitrogen (NOx) and particulate matter (PM) exhaust emissions as a function of engine operating parameters. Once satisfactory NN predictive results were obtained, the tool was also used to simultaneously optimise several operating parameters for low exhaust emissions. The optimisation was based on a minimising process related to EURO IV standards regulations.

The work presented here focuses on the influence of pre- and post-injection on the development of the combustion process and on engine efficiency and pollutant emissions. Tests were performed with a heavy-duty 1.8 litre single-cylinder engine. The study combines performance and emissions measurements together with heat release law analysis. Four representative operating conditions from the European Steady state test Cycle (ESC) have been considered. For each one, the fuel quantity of the pre- and post-injection has been varied between 12 and 20 mg/cc, and the delay of the pre- and post-injection respect to the main injection has been modified too. With a pre-injection strategy it has been possible to reduce the fuel consumption with little soot penalty but causing an increase in NOx levels in most engine modes. The post-injection strategy has been demonstrated to be efficient in soot reduction without NOx emission and fuel consumption penalty.