Modelling and Optimization of Energy Management Strategies for Hybrid Vehicles

In the last decades the automotive sector has seen a technological revolution, due mainly to the more restrictive regulation, the newly introduced technologies and, as last, to the poor resources of fossil fuels remaining on Earth. Promising solution in vehicles’ propulsion are represented by alternative architectures and energy sources, for example fuel-cells and pure electric vehicles. The automotive transition to new and green vehicles is passing through the development of hybrid vehicles, that usually combine positive aspects of each technology. To fully exploit the powerful of hybrid vehicles, however, it is important to manage the powertrain’s degrees of freedom in the smartest way possible, otherwise hybridization would be worthless. To this aim, this dissertation is focused on the development of energy management strategies and predictive control functions. Such algorithms have the goal of increasing the powertrain overall efficiency and contextually increasing the driver safety. Such control algorithms have been applied to an axle-split Plug-in Hybrid Electric Vehicle with a complex architecture that allows more than one driving modes, including the pure electric one. The different energy management strategies investigated are mainly three: the vehicle baseline heuristic controller, in the following mentioned as rule-based controller, a sub-optimal controller that can include also predictive functionalities, referred to as Equivalent Consumption Minimization Strategy, and a vehicle global optimum control technique, called Dynamic Programming, also including the high-voltage battery thermal management. During this project, different modelling approaches have been applied to the powertrain, including Hardware-in-the-loop, and diverse powertrain high-level controllers have been developed and implemented, increasing at each step their complexity. It has been proven the potential of using sophisticated powertrain control techniques, and that the gainable benefits in terms of fuel economy are largely influenced by the chose energy management strategy, even considering the powerful vehicle investigated.

Estudo da viabilidade da implantação de frotas de veículos elétricos e híbridos elétricos no atual cenário econômico, político, energético e ambiental brasileiro

Currently there are two car models that use electricity in their propulsion systems, the electric vehicle and the hybrid electric vehicle. The electric vehicles are classified as vehicles that use electric motors in their propulsion system and batteries as a power source, on the other hand, the hybrid vehicles are classified as vehicles that use both electric motors and internal combustion engines in their propulsion system, using both batteries and líquid fuels as a power source. The main goal of this work is to analyze the characteristics of electric and hybrid electric vehicles and demonstrate the unfeasibility of the electric vehicle in the current economic, political, energetic and environmental brazilian scenario, for this purpose it was realized a study about the current brazilian situation regarding to electricity generation, current conservation status of road network, lack of electrical infrastructure for charging batteries, national lithium reserves, environmental characteristics, tax incentives, economic scenario, oil market and political positioning related to the implantation of electric or hybrid electric fleets in nacional territory. The operational characteristics analysis of electric and hybrid electric vehicles in this current scenario leads to the conclusion that currently a growth of electric vehicles fleets on a national scale is totally impractical in the Brazil, Thus, the introduction of green vehicles probably will occur primarily with hybrid electric models, motivated mainly due the bigger autonomy of this models compared to electric models, lower cost of hybrid electric models compared to electric models, factors related to the lack of recharging infrastructure and also factors related to political positioning

Estudo da viabilidade da implantação de frotas de veículos elétricos e híbridos elétricos no atual cenário econômico, político, energético e ambiental brasileiro

Currently there are two car models that use electricity in their propulsion systems, the electric vehicle and the hybrid electric vehicle. The electric vehicles are classified as vehicles that use electric motors in their propulsion system and batteries as a power source, on the other hand, the hybrid vehicles are classified as vehicles that use both electric motors and internal combustion engines in their propulsion system, using both batteries and líquid fuels as a power source. The main goal of this work is to analyze the characteristics of electric and hybrid electric vehicles and demonstrate the unfeasibility of the electric vehicle in the current economic, political, energetic and environmental brazilian scenario, for this purpose it was realized a study about the current brazilian situation regarding to electricity generation, current conservation status of road network, lack of electrical infrastructure for charging batteries, national lithium reserves, environmental characteristics, tax incentives, economic scenario, oil market and political positioning related to the implantation of electric or hybrid electric fleets in nacional territory. The operational characteristics analysis of electric and hybrid electric vehicles in this current scenario leads to the conclusion that currently a growth of electric vehicles fleets on a national scale is totally impractical in the Brazil, Thus, the introduction of green vehicles probably will occur primarily with hybrid electric models, motivated mainly due the bigger autonomy of this models compared to electric models, lower cost of hybrid electric models compared to electric models, factors related to the lack of recharging infrastructure and also factors related to political positioning

Financing green development: 'Climate Bonds’ as a solution for institutional investors engagement

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Evaluation of subsidies programs to sell green cars: Impact on prices, quantities and efficiency

During the recent period of economic crisis, many countries have introduced scrappage schemes to boost the sale and production of vehicles, particularly of vehicles designed to pollute less. In this paper, we analyze the impact of a particular scheme in Spain (Plan2000E) on vehicle prices and sales figures as well as on the reduction of polluting emissions from vehicles on the road. We considered the introduction of this scheme an exogenous policy change and because we could distinguish a control group (non-subsidized vehicles) and a treatment group (subsidized vehicles), before and after the introduction of the Plan, we were able to carry out our analysis as a quasi-natural experiment. Our study reveals that manufacturers increased vehicle prices by the same amount they were granted through the Plan (1,000 €). In terms of sales, econometric estimations revealed an increase of almost 5% as a result of the implementation of the Plan. With regard to environmental efficiency, we compared the costs (inverted quantity of money) and the benefits of the program (reductions in polluting emissions and additional fiscal revenues) and found that the Plan would only be beneficial if it boosted demand by at least 30%.

Illinois green fleets : fleet profiles.

Presents a directory of organizations that use alternate fuels in their vechicles.

Direct support and general support maintenance repair parts and special tools lists : pneumatic tires, electric motor, AC, 10 HP, 416V 3 phase, 60 cycle, 50 ft long, conveyor, belt, 300 tons per hr, wheel mounted, 24 in. wide belt, NSN 3910-00-790-2175, Barber-Green model PG 70.

Includes index.

Green technologies in the automotive industry

In most of the discussions about environmental issues and policies, transportation is highlighted as one of the main sources of pollutant emissions and energy consumption. The attention given to the automotive industry is understandable in this context due to its size, expansion, presence in our daily lives, and of course its environmental impact. If we scrutinize the “greenness” of car manufacturers we will find issues of concern from the raw material use, production processes, use, and end-of-life of vehicles. The main issues for production are high consumption of energy, raw materials, water and the waste stream, which contains the four substances of concern (cadmium, lead, hexavalent chromium, mercury). In respect of carbon emissions and energy use the use of cars is the main phase of its life-cycle due to the combination of internal combustion engines with fossil fuels. The most recent pressure is aimed at the end-of-life vehicles (ELV). In addition to the pollution from vehicle use, traffic jams and car accidents continue to be part of the downside of a car culture. Landfills sites are becoming scarce and the contamination of soil and aquifers completes the picture.

Development of predictive energy management strategies for hybrid electric vehicles supported by connectivity

Nowadays, the spreading of the air pollution crisis enhanced by greenhouse gases emission is leading to the worsening of the global warming. In this context, the transportation sector plays a vital role, since it is responsible for a large part of carbon dioxide production. In order to address these issues, the present thesis deals with the development of advanced control strategies for the energy efficiency optimization of plug-in hybrid electric vehicles (PHEVs), supported by the prediction of future working conditions of the powertrain. In particular, a Dynamic Programming algorithm has been developed for the combined optimization of vehicle energy and battery thermal management. At this aim, the battery temperature and the battery cooling circuit control signal have been considered as an additional state and control variables, respectively. Moreover, an adaptive equivalent consumption minimization strategy (A-ECMS) has been modified to handle zero-emission zones, where engine propulsion is not allowed. Navigation data represent an essential element in the achievement of these tasks. With this aim, a novel simulation and testing environment has been developed during the PhD research activity, as an effective tool to retrieve routing information from map service providers via vehicle-to-everything connectivity. Comparisons between the developed and the reference strategies are made, as well, in order to assess their impact on the vehicle energy consumption. All the activities presented in this doctoral dissertation have been carried out at the Green Mobility Research Lab} (GMRL), a research center resulting from the partnership between the University of Bologna and FEV Italia s.r.l., which represents the industrial partner of the research project.

All Green, But Equal? Morphological Traits And Ecological Implications On Spores Of Three Species Of Mosses In The Brazilian Atlantic Forest.

Spores of the tropical mosses Pyrrhobryum spiniforme, Neckeropsis undulata and N. disticha were characterized regarding size, number per capsule and viability. Chemical substances were analyzed for P. spiniforme and N. undulata spores. Length of sporophyte seta (spore dispersal ability) was analyzed for P. spiniforme. Four to six colonies per species in each site (lowland and highland areas of an Atlantic Forest; Serra do Mar State Park, Brazil) were visited for the collection of capsules (2008 - 2009). Neckeropsis undulata in the highland area produced the largest spores (ca. 19 µm) with the highest viability. The smallest spores were found in N. disticha in the lowland (ca. 13 µm). Pyrrhobryum spiniforme produced more spores per capsule in the highland (ca. 150,000) than in lowland (ca. 40,000); longer sporophytic setae in the lowland (ca. 64 mm) than in the highland (ca. 43 mm); and similar sized spores in both areas (ca. 16 µm). Spores of N. undulata and P. spiniforme contained lipids and proteins in the cytoplasm, and acid/neutral lipids and pectins in the wall. Lipid bodies were larger in N. undulata than in P. spiniforme. No starch was recorded for spores. Pyrrhobryum spiniforme in the highland area, different from lowland, was characterized by low reproductive effort, but presented many spores per capsule.

Reduced Lrp6 Expression And Increase In The Interaction Of Gsk3β With P53 Contribute To Podocyte Apoptosis In Diabetes Mellitus And Are Prevented By Green Tea.

In diabetes mellitus (DM), podocyte apoptosis leads to albuminuria and nephropathy progression. Low-density lipoprotein receptor-related protein 6 (LRP6) is WNT pathway receptor that is involved in podocyte death, adhesion and motility. Glycogen synthase kinase 3 (GSK3) interaction with p53 (GSK3-p53) promotes apoptosis in carcinoma cells. It is unknown if GSK3-p53 contributes to podocyte apoptosis in DM. In experimental DM, green tea (GT) reduces albuminuria by an unknown mechanism. In the present study, we assessed the role of the GSK3β-p53 in podocyte apoptosis and the effects of GT on these abnormalities. In diabetic spontaneously hypertensive rats (SHRs), GT prevents podocyte's p-LRP6 expression reduction, increased GSK3β-p53 and high p53 levels. In diabetic SHR rats, GT reduces podocyte apoptosis, foot process effacement and albuminuria. In immortalized mouse podocytes (iMPs), high glucose (HG), silencing RNA (siRNA) or blocking LRP6 (DKK-1) reduced p-LRP6 expression, leading to high GSK3β-p53, p53 expression, apoptosis and increased albumin influx. GSK3β blockade by BIO reduced GSK3β-p53 and podocyte apoptosis. In iMPs under HG, GT reduced apoptosis and the albumin influx by blocking GSK3β-p53 following the rise in p-LRP6 expression. These effects of GT were prevented by LRP6 siRNA or DKK-1. In conclusion, in DM, WNT inhibition, via LRP6, increases GSK3β-p53 and podocyte apoptosis. Maneuvers that inactivate GSK3β-p53, such as GT, may be renoprotective in DM.

Supercritical CO2 recovery of caffeine from green coffee oil: new experimental solubility data and modeling

The caffeine solubility in supercritical CO2 was studied by assessing the effects of pressure and temperature on the extraction of green coffee oil (GCO). The Peng-Robinson¹ equation of state was used to correlate the solubility of caffeine with a thermodynamic model and two mixing rules were evaluated: the classical mixing rule of van der Waals with two adjustable parameters (PR-VDW) and a density dependent one, proposed by Mohamed and Holder² with two (PR-MH, two parameters adjusted to the attractive term) and three (PR-MH3 two parameters adjusted to the attractive and one to the repulsive term) adjustable parameters. The best results were obtained with the mixing rule of Mohamed and Holder² with three parameters.

Flow injection green method for the quantitative analysis of ketoconazole in pharmaceutical preparations

A flow injection method for the quantitative analysis of ketoconazole in tablets, based on the reaction with iron (III) ions, is presented. Ketoconazole forms a red complex with iron ions in an acid medium, with maximum absorbance at 495 nm. The detection limit was estimated to be 1×10--4 mol L-1; the quantitation limit is about 3×10--4 mol L-1 and approximately 30 determinations can be performed in an hour. The results were compared with those obtained with a reference HPLC method. Statistical comparisons were done using the Student's t procedure and the F test. Complete agreement was found at the 0.95 significance level between the proposed flow injection and the HPLC procedures. The two methods present similar precision, i.e., for HPLC the mean relative standard deviation was ca. 1.2% and for FIA ca. 1.6%.

Measurement of banana green life

Introduction. This protocol aims at measuring the storage life potential of banana fruit, and at determining the physiological age of fruit. The principle, key advantages, starting plant material, time required and expected results are presented. Materials and methods. This part describes the required laboratory materials and the five steps necessary for calculating the banana green life duration, which corresponds to the number of days between the fruit harvest and climacteric crisis. Results. The measurement of O-2 and CO2 concentrations allows one to detect the climacteric peak which marks the end of the banana green life.

State-of-the-Art and Future Directions for Green Human Resource Management: Introduction to the Special Issue

The topic of environmental sustainability is generating increased concern among business executives, governments, consumers, and management scholars. As these stakeholders struggle with the challenges and opportunities presented by an array of environmental issues, HRM scholars and practitioners alike have been relatively slow to engage in the ongoing discussions and debates. Through this special issue on Green FIRM, we seek to stimulate the field of HRM to expand its role in the pursuit of environmentally sustainable business. In this introduction to the special issue, we first provide an overview of the articles that appear in the special issue. Next we present a detailed discussion of research questions that arise from a consideration of several functional HRM practices, including performance management; training, development, and learning; compensation and rewards; and organizational culture. We conclude by describing opportunities for research at the intersection of strategic HRM and environmental management. If pursued with vigor, research addressing this extensive agenda could begin to establish a healthy field of Green FIRM scholarship.