Introduction of autonomous vehicles (AVs) in road traffic is commonly presented as an opportunity to improve safety and traffic performance through elimination of human factor from the decisive process, including its replacement with vehicle-to-vehicle and vehicle-to-infrastructure communication. However, AVs must take into account interactions with vulnerable road users (including pedestrians and cyclists), which is problematic due to the need for prediction of their behavior and adequate reaction thereto. The article presents the results of microsimulation analyses of AV traffic in the vicinity of a mid-block pedestrian crossing. With the assumed gradual increase in the share of AVs in traffic, the results suggest that pedestrian crossings are among locations where smoothness of traffic flow may considerably deteriorate. The results of the performed analyses and literature studies indicate that AVs will have to brake more rapidly (or brake earlier) and come to a complete stop more frequently than conventional vehicles. The article also presents the effect of the share of AVs in road traffic on fuel consumption, which indirectly affects the environment.
PL
Pojawienie się pojazdów autonomicznych (AV) w ruchu drogowym jest powszechnie przedstawiane jako szansa na poprawę bezpieczeństwa i warunków ruchu poprzez wykluczenie człowieka z procesu decyzyjnego, w tym zastąpienie go komunikacją pojazdów z pojazdami i z infrastrukturą. AV muszą uwzględniać między innymi interakcje z niechronionymi uczestnikami ruchu (m.in. pieszymi i rowerzystami), co jest problematyczne ze względu na konieczność przewidywania ich zachowań i odpowiedniego reagowania na nie. W artykule przedstawiono wyniki analiz mikrosymulacyjnych ruchu AV w rejonie wydzielonego przejścia dla pieszych. Założenie stopniowego wzrostu udziału AV wskazuje, że przejścia dla pieszych są miejscem, w którym płynność ruchu może się wówczas znacząco pogorszyć. Wyniki przeprowadzonych analiz oraz studiów literatury wskazują, że AV będą musiały gwałtowniej lub wcześniej hamować oraz częściej zatrzymywać się niż pojazdy konwencjonalne. W artykule przedstawiono również wpływ różnych poziomów udziału AV w ruchu na zużycie paliwa, mające pośredni wpływ na środowisko.
The aim of the paper is to draw attention to the problem of emitting toxic compounds into the atmosphere by seagoing ships. Annex VI of the MARPOL Convention, which came into force in 2005, concerns the prevention of air pollution from ships, forced shipowners to use solutions aimed at limiting the emission of these harmful substances into the atmosphere. One of the instruments enabling the implementation of these guidelines is the design energy efficiency index EEDI, introduced obligatorily for designed and newly built ships. Since 2013, the regulations oblige the shipowners to maintain an effective energy management plan during ship's operation, called the SEEMP (Ship Energy Efficiency Management Plan). The paper presents factors that influence the reduction of fuel consumption by ships, leading to a reduction in emissions of harmful substances into the atmosphere and thus achieving the required EEDI and other indicators. These are factors related to the ship's hull, the main propulsion engine and the propeller-rudder system. The influence of each of these factors on the level of fuel consumption by the ship was indicated. The manuscript highlights the methods of reducing fuel consumption by seagoing ships aimed at reducing emissions of toxic compounds into the atmosphere, which are currently the most popular and effective, and relate mainly to the hull and main propulsion engines. EEDI, EEOI, SEEMP, fuel consumption, reduction of pollutant emissions
PL
Celem artykułu jest zwrócenie uwagi na problem emisji przez statki morskie związków toksycznych do atmosfery. Wprowadzony w życie 19 maja 2005 r. Załącznik VI Konwencji MARPOL, dotyczący zapobiegania zanieczyszczania powietrza przez statki, wymusił na armatorach stosowanie rozwiązań zmierzających do ograniczenia emisji do atmosfery szkodliwych substancji. Jednym z instrumentów pozwalających na realizację tych wytycznych jest wprowadzony obligatoryjnie dla projektowanych i nowo budowanych statków projektowy współczynnik efektywności energetycznej EEDI. Z kolei od stycznia 2013 r. przepisy nakładają też na armatorów obowiązek prowadzenia planu efektywnego zarządzania energią podczas eksploatacji statku SEEMP (ang. Ship Energy Efficiency Management Plan). W artykule przedstawiono czynniki mające wpływ na ograniczanie zużycia paliwa przez statki prowadzące do obniżenia emisji do atmosfery szkodliwych substancji, a przez to uzyskanie wymaganych wielkości współczynnika EEDI oraz SEEMP. Są to czynniki związane z kadłubem statku, silnikiem napędu głównego oraz układem śruba – ster. Wskazano na wpływ każdego z tych czynników na poziom zużycia paliwa przez statek. W pracy wyeksponowano te metody ograniczania zużycia paliwa przez statki morskie zmierzające do obniżenia emisji do atmosfery związków toksycznych, które obecnie są najbardziej popularnymi i skutecznymi, a odnoszą się głównie do kadłuba oraz silników napędu głównego. EEDI, EEOI, SEEMP, zużycie paliwa, redukcja emisji zanieczyszczeń
The paper presents results of considerations on the repeatability of the passenger car test results obtained in the WLTP procedure on a chassis dynamometer. The research concerned the aspects of exhaust emissions and fuel consumption. Measurements were carried out in the WLTC test with a cold engine start and then in four WLTC (Worldwide harmonized Light vehicles Test Cycle) tests with a hot engine start. The following values were measured: average specific distance emissions of hydrocarbons, non-methane hydrocarbons, carbon monoxide, nitrogen oxides, particulate matter and carbon dioxide, specific distance particulate number, and operational fuel consumption. Thus, it was possible to assess the impact of the engine's thermal state at start-up on the test results and the nature of test results repeatability with the start-up of a hot engine. The repeatability of the test results was assessed based on the coefficient of variation obtained in the individual tests and the relationship of the maximum difference between measurement results values in the individual tests for a hot engine start. The obtained test results turned out to be very diverse for the considered parameters and indicated low repeatability. Values of carbon dioxide emissions and operational fuel consumption were definitely the least varied in individual hot engine start tests. The exhaust emission of particulate matter varied the most in individual test iterations. However, the specific distance particulate number was relatively similar between individual tests, less so than the exhaust emission of other pollutants. In the case of different engine thermal state at start-up, the emitted particulate number varied the most in the test results, while the emission of carbon dioxide and operational fuel consumption varied the least. The repeatability of executing the velocity process in WLTC tests at hot engine and cold engine start-up was also examined as processes determining exhaust emissions and fuel consumption. These tests were much more repeatable than the exhaust emission and fuel consumption.
Fluctuating fuel prices and the importance of road transport in the context of the environmental impact of transport make the research related to fuel consumption analyses still up‑ to‑ date and socially important. The article presents the methodology for determining the statistical model of fuel consumption based on the analysis of the significance of driving parameters. The fleet of trucks (sets of tractor truck and semi‑ trailer) was selected as the research object due to their dominant share in the road commercial transport sector in the transport of goods. In order to calculate determinants of fuel consumption, the classic method of least squares was used, as a result of which an optimal statistical model of fuel consumption was developed using the elimination method. The model developed was also verified based on the real data.
PL
Zmienne ceny paliw oraz znaczenie transportu drogowego w kontekście oddziaływania środowiskowego transportu powodują, że badania związane z analizami zużycia paliwa są ciągle aktualne i istotne społecznie. W artykule przedstawiono metodologię wyznaczania modelu statystycznego zużycia paliwa na podstawie analizy istotności parametrów jazdy. Jako obiekt badań wybrano flotę samochodów ciężarowych (zastawów ciągnik siodłowy i naczepa) z uwagi na ich dominujący udział w sektorze drogowego transportu zarobkowego w przewozie ładunków. W celu wyznaczenia determinant zużycia paliwa zastosowano klasyczną metodę najmniejszych kwadratów, w efekcie której opracowano, metodą eliminacji, optymalny model statystyczny zużycia paliwa. Przeprowadzono także weryfikację opracowanego modelu na podstawie danych rzeczywistych
This paper presents a method for the precise diagnosis of a diesel engine in an agricultural tractor based on the analysis of efficiency changes and parameters characterizing the process of fuel-air mixture preparation. We proposed that the technical condition be identified based on available data from the engine controller, as this enables the implementation of precise online diagnostics of an agricultural tractor. The method was verified using the original cycle, during which we simulated several engine defects leading to a change in conditions and quality of the processes of creating and burning the fuel/air/flue gas mixture. In the paper, we justified the selection of the points at which the engine parameters were measured, as they provide the most information and allow for efficient identification of damage. These results indicate the possibility of damage identification without the use of the diagnostic cycle in the operation of operator-driven vehicles and autonomous vehicles.
W artykule zaprezentowano efekty praktycznego zastosowania autorskiej aplikacji na urządzenie mobilne pozwalającej na pomiar zużycia paliwa w samochodzie osobowym. Aplikacja posiada dwa moduły i pracuje w trakcie jazdy samochodem. Jeden z modułów pobiera dane z komputera pokładowego za pomocą protokołu OBD II. Drugi zaś, wykorzystuje GPS telefonu oraz dane wprowadzone przez użytkownika. Równoczesne pobieranie danych z modułów pozwala na ich zestawienie. Na podstawie otrzymanych wyników badań wnioskuje się, że niedokładność nawigacji GPS w stosunku do OBD II dla samochodów benzynowych nie przekracza 6%, a dla tych z silnikiem diesla, 21%. Rezultaty pracy ułatwią użytkownikom odpowiedni dobór techniki badania zużycia paliwa przez samochód osobowy.
EN
The article presents the results of practical application of the author's application for a mobile device that allows measuring fuel consumption in a passenger car. The application has two modules and works while driving the car. One of the modules retrieves data from the on-board computer using the OBD II protocol. The other module uses the phone's GPS and data entered by the user. Simultaneous data collecting from the modules allows them to be compared. Based on the results, it is concluded that the inaccuracy of GPS navigation in relation to OBD II for gasoline cars does not exceed 6%, and for those with diesel engines, 21%. The results of the work will make it easier for users to appropriately select a technique for testing the fuel consumption of a passenger car.
The thermostat is a crucial component of a car's internal combustion engine's cooling system. Failure of the thermostat can result in undercooling or overheating of the engine. Undercooling may increase wear of engine components due to poor lubrication and lead to higher fuel consumption. Conversely, overheating can damage the engine. The engine coolant temperature is one of the fundamental parameters for the proper functioning of the engine. The vehicle's onboard diagnostics system was unable to detect the malfunction of the thermostat. As a consequence, fuel consumption increased, which was especially noticeable in winter. This paper evaluates the possibility of carrying out thermostat diagnostics using data obtained from the OBD system through a diagnostic interface ELM327, which is connected to the OBD-II connector and interfaced with Torque Pro software on a smartphone. Analysis of the data confirmed that the proposed diagnostic method was appropriate. Furthermore, the impact of the thermostat malfunction on different factors such as coolant temperature, cold engine warm-up time, parameters characterising thermostat cycling, and fuel consumption of the car were studied. It was found that, apart from the already mentioned decrease in coolant temperature, the thermostat hysteresis also decreased and the thermostat cycle time increased.
The article presents a mathematical model demonstrating the synergy of HEV energetic machines in accordance with the model predictive control. Then the results of road tests are presented. They were based on the factory control of the above-mentioned system. The results of the operating parameters of the system according to the factory control and the results of the operating parameters according to the model predictive control were compared. On their basis, it could be concluded that the model predictive control contributed to changes in the power and electrochemical charge level of the energy storage system from 50.1% (the beginning) to 56.1% (the end of course) and for MPC from 50.1% (the beginning) to 59.9% (the end of the course). The applied MPC with 13 reference trajectories (LQT) of power machines of the series-parallel HEV allowed for fuel savings on the level of 4%.
Hybrid vehicles are a good solution for a smooth transition towards electromobility. The aim of this paper is to examine the relationship between route parameters and fuel consumption and emissions of harmful exhaust components of vehicles with a conventional and hybrid drive system. As a result of simulation tests, values for fuel consumption and CO2 emissions for HEV and ICEV vehicles were obtained in 28 trips in urban conditions. The average fuel consumption achieved by the hybrid was 53% lower than that of a conventional vehicle. When analysing the average value of CO2 emissions, the hybrid showed a 54% lower value than a conventional vehicle. Using statistical methods, the relationship between the route parameters and the operational parameters of the vehicle was determined. It has been shown that the route parameters strongly correlate with the fuel consumption and CO2 emissions of a conventional vehicle. In the case of hybrid vehicles, there was a weaker relationship between these parameters.
This paper proposes the use of vibroacoustic signal parameters to estimate the fuel consumption of a miniature GTM-400 engine. The method for testing engine vibrations is presented, followed by an analysis of the results obtained. Two vibration point measures were selected to build a fuel consumption model. The models obtained were verified, after which those that best describe the real fuel consumption of the engine were selected. The paper proves that the vibration signal, in addition to its applications in jet engine diagnostics, can be used to determine engine performance, which can contribute to reducing the complexity of construction and increasing the economics of engine operation.
The Euro 6 emission standard requires compliance with tough legal exhaust emissions limits for newly registered vehicles and obligates light-duty vehicle manufacturers to respect the 160,000 km durability requirements for in-service conformity. Although there is no legal limit set for fuel consumption, manufacturers are obligated to decrease the carbon footprint of vehicle fleets in order to obtain carbon neutral mobility beyond 2035. The aim of this paper is to analyse the impact of various oils’ and viscosity grades’ degradation on the change in break specific fuel consumption (BSFC) measured over a standardized durability test cycle. Each oil candidate underwent 300 h of durability test running performed on a test bed without any oil changes. The purpose of the laboratory test was to reproduce the worst-case operating conditions and degradation process of the long-life engine oil type that can be experienced during extreme real life driving of a vehicle. In order to define the influence of the engine oil deterioration on the BSFC profile, the engine operation parameters were continually monitored throughout the test run. Additionally, chemical analysis of the oil was performed and the solid deposits formed on the turbocharger’s compressor side were evaluated. The test results revealed differences up to 5% in the BSFC values between the oil candidates tested over the durability cycle. The observed BSFC increase was directly related to the decrease in engine efficiency and can cause higher fuel consumption of the engine, which in turn has an adverse effect on environmental protection goals.
This study aims to determine and evaluate the operating parameters of three modern self-propelled forage harvesters during maize silage harvest. The machines were equipped with operator assistance systems. Field tests were conducted for three self-propelled forage harvesters: Claas Jaguar 870, Claas Jaguar 950, KroneBiG X 650. The tests were conducted in large-scale farms located in Wielkopolskie and Pomorskie voivodeships. Maize was harvested at the beginning of the full-grain maturity stage. A complete time study covering four control shifts in accordance with BN-76/9195-01 was performed to determine operating ratios and indicators. Fuel consumption was determined using the full tank method. The Claas Jaguar 950 forage harvester had the highest effective mass performance: 141.3 Mg⸱h-1. The same machine also achieved the lowest fuel consumption per tonne of fresh matter (FM) harvested: 0.51 kg⸱Mg-1 . Labour expenditure for the self-propelled forage harvesters tested during the total time of change ranged from 0.38 to 0.62 labour hour per hectare. The tested machines also had very high technical and technological reliability.
PL
Niniejsze badanie ma na celu określenie i ocenę parametrów operacyjnych trzech nowoczesnych samojezdnych sieczkarni podczas zbioru kukurydzy na kiszonkę. Maszyny były wyposażone w systemy wspomagania operatora. Badania polowe zostały przeprowadzone dla trzech samojezdnych sieczkarni: Claas Jaguar 870, Class Jaguar 950, Krone BiG X 650. Badania przeprowadzono w dużych gospodarstwach na terenie województwa Wielkopolskiego i Pomorskiego. Kukurydzę zbierano na początku etapu pełnej dojrzałości ziarna. Przeprowadzono pełne badania czasu w celu określenia wskaźników operacyjnych, które objęło cztery zmiany kontrolne zgodne z normą BN-76/9195-01. Zużycie paliwa określono przy użyciu metody pełnego zbiornika. Sieczkarnia Class Jaguar 950 miała najwyższą wydajność masy efektywnej: 141.3 Mg⸱h-1. Ta sama maszyna osiągnęła także najniższe zużycie paliwa na tonę świeżej zebranej masy 0.51 kg⸱Mg-1 . Nakład pracy samojezdnych sieczkarni zbadanych podczas całego czasu zmiany wahał się między 0.38 do 0.62 roboczogodzin na hektar. Badane maszyny posiadały także wysoką niezawodność techniczną oraz technologiczną.
The article presents the test stand and the test results of a vehicle with an SI engine, fueled by a blends of LPG and DME gaseous fuels. During the tests, a chassis dynamometer was used, which reproducibly reflected road conditions. The tests were carried out for various shares of DME in the mixture, thus determining the maximum possible share of this fuel. The measuring points have been extended with different engine loads and different rotational speeds. The analysis of the pressure inside the engine cylinder made it possible to compare the operation of the engine powered by mixtures of different proportions to the reference fuel - LPG.
The use of nanoparticles in fuels provides new opportunities for modification of fuel properties, which may affect the operational parameters of engines, in particular the efficiency and fuel consumption. The paper presents comparison of compression ignition engine performance fuelled with neat diesel and nano-diesel. Alumina (Al2O3) was used as nanoparticles. Surface-active substances, including Span 80 surfactant, as well as water admixture were used to improve the stability of the produced fuel. Measurements of the thermal conductivity and dynamic viscosity of the produced mixtures were conducted. In this study was used naturally aspirated, water cooled, four-stroke diesel engine. Addition of Al2O3 nanoparticles result in 4% reduced fuel consumption, addition of TiO2 nanoparticles result in 10% reduced fuel consumption with respect to neat diesel fuel.
This paper examines the effect of an external preheating system for an internal combustion engine on fuel consumption, CO2 emissions, and cabin temperature of a Euro4 vehicle. A 1 kW electric system powered by 220 V was installed in series in the cooling system of a vehicle with a compression-ignition engine of 2.5 dm3 capacity. The tests were carried out in simulated urban driving conditions (distance of 4.2 km), extra-urban driving conditions (distance of 17 km), and during idling at cold-start temperatures ranging from -10oC to 2oC. Preheating the engine under simulated city conditions reduces fuel consumption by 2.64 dm3/100 km and increases the supply air temperature immediately after engine start-up. Due to the preheater being powered from an external power grid, the cost per trip and total CO2 emissions are increased. Assuming renewable energy sources, CO2 emissions would be reduced the most for the stationary tests after engine preheating. In contrast, emissions would be reduced the least for extra-urban driving.
The share of road transport accounts for more than 85% of the total structure of freight transportation. In this process, mainly motor vehicles are used to carry out the freight work. In addition to them, forklifts are also used, whose task is to load and unload goods. These vehicles are categorized as NRMM (Non-Road Mobile Machinery). Forklift trucks have internal combustion or electric drive. The paper presents an analysis of the emission of pollutants and fuel consumption from forklift trucks equipped with diesel and LPG power. The study uses the author's test taking into account the raising/lowering of a pallet, a loaded and unloaded run. The measurements were made in the warehouse and outside the warehouse using the Portable Emission Measurement System (PEMS) equipment. The aim was to show the influence of loading conditions on the emission of pollutants and fuel consumption.
Efficient fuel consumption in the world is essential in automotive technology development due to the increase in vehicle usage and the decrease in global oil production. Several studies have been conducted to increase fuel consumption savings, Fuel Cells (FCs), the application of alternative energy vehicles and the Engine Control Unit (ECU) system. FCs do not require oil energy to propel the vehicle, so this technology promises to reduce energy consumption and emissions. However, this research still leaves problems. FCs are susceptible to short circuit hazards, and ownership costs are very high. Alternative energy applications produce less power, less responsive acceleration, and insufficient energy sources to enter mass production. The ECU application still has an orientation toward achieving stoichiometry values, so the increase in fuel efficiency has the potential to be improved. Driving behavior is a variable that has a close relationship with fuel consumption efficiency. However, research on driving behavior is only studied for implementation in autonomous car-following technologies, safety systems, charging needs characteristic of electric vehicles, emission controls, and display images on invehicle information systems. Meanwhile, research on driving behavior as a control system to improve fuel efficiency has not been carried out. To that end, this study proposes the use of driving behavior for a newly designed control system to improve fuel efficiency. The control system in this research is a prototype model to be assessed using the Fuel Saving Index (FSI) analysis. An artificial neural network is used to help the recognition of driving behavior. The results showed that the newly designed control system was categorized on scale IV of FSI. On this scale, the power generated by the engine is quite optimal when it is in the eco-scheme driving behavior. The driving behavior control system can significantly improve the efficiency of fuel consumption. Air to Fuel Ratio (AFR) is achieved above the stoichiometric value.
A contemporary road vehicle (RV) is a rather complex system, consisting of a large number of subsystems, assemblies, units, and elements (parts). While operating, an RV interacts with the environment, and its elements interact with each other. Consequently, the properties (parameters) of these elements change in the process - hardness, roughness, size, relative position, gapping, etc. A partial solution to the presented problems can be the search for a technique for assessing the RV technical condition by a generalised criterion, which is quite sensitive to changes in the technical state. One of these criteria may be fuel consumption in litres per 100 kilometres. This paper investigates the possibilities of using the fuel consumption indicator as a criterion for assessing the technical condition of the vehicle and the vehicle maintenance and repair technologies have been generalised to obtain a given technical solution. Thus, the possibility of using the fuel consumption indicator as a criterion for assessing the technical condition of the vehicles was explored using the Volkswagen Touran 1.9 TDI operating in urban conditions using a driving cycle. A clear correlation between the fuel consumption and the service lifetime of the vehicle has been established; therefore, it depends on the frequency and quality of the maintenance and repair (MR). The vehicle MR technology has been generalised to obtain a specified technical solution. The process of creating an RV MR Technology model is implemented based on an iterative approach (repetition) with the possibility to specify their features.
The article presents the structure and a principle of operation of a simple indicator of the type of a fuel-air mixture supplying a spark-ignition engine with a direct fuel injection. The designed indicator was tested, as a result of which its correct operation was verified. By using information from the indicator, it was possible to assess its usefulness for assisting the driver in an economical driving style. Preliminary studies show that thanks to the use of the developed indicator, it is possible to save about 10% of fuel as a result of the correction of the economic driving style on the route selected for the purpose of this research paper. The target of this study was to confirm a noticeable reduction in fuel consumption when supplying the engine with a stratified mixture. In order to obtain more accurate data, the research should be extended to include a greater number of routes and its division into urban and non-urban areas.
One of the many important challenges of the modern world is the greenhouse effect of CO2. It is necessary to implement solutions that will eliminate it. Since the easiest way to eliminate the greenhouse effect is to reduce hydrocarbons fuel consumption, it is important to evaluate the fuel (energy) consumption in long term operation. The article presents a proposal for the use of the so-called vehicle energy footprint. The method of creating such a trace is presented and illustrated with specific results of data analyzes. The data is publicly available, which means that the presented method can be independently verified. It has also been shown that the use of the method not only organizes the analyzes, but also leads to information that cannot be obtained with other methods. It therefore seems that an attractive tool has been developed for future applications.
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