Luminescent Ionic Transition-Metal Complexes for Light-Emitting Electrochemical Cells

The European Union set the ambitious target of reducing energy consumption by 20% within 2020. This goal demands a tremendous change in how we generate and consume energy and urgently calls for an aggressive policy on energy efficiency. Since 19% of the European electrical energy is used for lighting, considerable savings can be achieved with the development of novel and more efficient lighting systems. In this thesis, accomplished in the frame of the EU project CELLO, I report some selected goals we achieved attempting to develop highly efficient, flat, low cost and flexible light sources using Light-Emitting Electrochemical Cells (LECs), based on ionic cyclometalated iridium(III) complexes. After an extensive introduction about LECs and solid-state lighting in general, I focus on the research we carried out on cyclometalated iridium(III) complexes displaying deep-blue emission, which has turned out to be a rather challenging task. In order to demonstrate the wide versatility of this class of compounds, I also report a case in which some tailored iridium(III) complexes act as near-infrared (NIR) sources. In fact, standard NIR emitting devices are typically expensive and, also in this case, LECs could serve as low-cost alternatives in fields were NIR luminescence is crucial, such as telecommunications and bioimaging. Since LECs are based on only one active material, in the last chapter I stress the importance of an integrated approach toward the right selection of suitable emitters not only from the photophysical, but also from the point of view of material science. An iridium(III) complex, once in the device, is interacting with ionic liquids, metal cathodes, electric fields, etc. All these interactions should be taken in to account if Europe really wants to implement more efficient lighting paradigms, generating light beyond research labs.

Unified control system for three-phase electric drives operating in magnetic saturation region

The research project aims to study and develop control techniques for a generalized three-phase and multi-phase electric drive able to efficiently manage most of the drive types available for traction application. The generalized approach is expanded to both linear and non- linear machines in magnetic saturation region starting from experimental flux characterization and applying the general inductance definition. The algorithm is able to manage fragmented drives powered from different batteries or energy sources and will be able to ensure operability even in case of faults in parts of the system. The algorithm was tested using model-in-the-loop in software environment and then applied on experimental test benches with collaboration of an external company.

Performance assessment of vehicular connectivity in hybrid electric vehicles for fuel and emissions reduction

Nowadays, the spreading of the air pollution crisis enhanced by greenhouse gases emission is leading to the worsening of global warming. Recently, several metropolitan cities introduced Zero-Emissions Zones where the use of the Internal Combustion Engine is forbidden to reduce localized pollutants emissions. This is particularly problematic for Plug-in Hybrid Electric Vehicles, which usually work in depleting mode. In order to address these issues, the present thesis presents a viable solution by exploiting vehicular connectivity to retrieve navigation data of the urban event along a selected route. The battery energy needed, in the form of a minimum State of Charge (SoC), is calculated by a Speed Profile Prediction algorithm and a Backward Vehicle Model. That value is then fed to both a Rule-Based Strategy, developed specifically for this application, and an Adaptive Equivalent Consumption Minimization Strategy (A-ECMS). The effectiveness of this approach has been tested with a Connected Hardware-in-the-Loop (C-HiL) on a driving cycle measured on-road, stimulating the predictions with multiple re-routings. However, even if hybrid electric vehicles have been recognized as a valid solution in response to increasingly tight regulations, the reduced engine load and the repeated engine starts and stops may reduce substantially the temperature of the exhaust after-treatment system (EATS), leading to relevant issues related to pollutant emission control. In this context, electrically heated catalysts (EHCs) represent a promising solution to ensure high pollutant conversion efficiency without affecting engine efficiency and performance. This work aims at studying the advantages provided by the introduction of a predictive EHC control function for a light-duty Diesel plug-in hybrid electric vehicle (PHEV) equipped with a Euro 7-oriented EATS. Based on the knowledge of future driving scenarios provided by vehicular connectivity, engine first start can be predicted and therefore an EATS pre-heating phase can be planned.