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This paper shows the test results for the evaluation of the performance of an articulated bus prototype fueled with compressed natural gas (CNG). The results will be used to establish the technical viability of the fleet implementation in the mass transport systems of the biggest Colombian cities. In order to carry out the evaluation, some SAE recommended practices were modified to apply to this kind of bus. Performance parameters like tanks filling time, acceleration, startability, driveability, fuel consumption, and flexibility were obtained. The tests were made in two different cities, the first one was Bogota, Colombia's capital with 10 million inhabitants and located at 2,600 meters above sea level (masl). The second city was Cali, with 4 million inhabitants and located at 900 masl.

The effects of ethyl tertiary butyl ether (ETBE) and ethanol (EtOH) blending in gasoline on particulate matter (PM) emissions were investigated for a direct-injection spark ignition vehicle running on a chassis dynamometer. The test was performed under constant-speed conditions and 10.15-mode and 11-mode cycles. The total number of particles was measured by using a condensation particle counter (CPC). It was observed that the number of particles was affected by the amount of aromatics in the fuel and T90 (the distillation temperature where 90 vol.% of the fuel is evaporated), which was caused by the blending of the oxygenated compounds. The impact of T90 on the number of particles was greater for the 11-mode cycle than for the 10.15-mode one.

The diesel particulate filter (DPF) is a critical aftertreatment device for control of particulate matter (PM) emissions from a diesel engine. DPF survivability is challenged by several key factors such as: excessive thermal stress due to DPF runaway regenerations (or uncontrolled regeneration) may cause DPF substrate and washcoat failure. Catalyst poisoning elements from the diesel fuel and engine oil may cause performance degradation of the catalyzed DPF. Harsh vibration from the powertrain, as well as from the road surface, may lead to mechanical failure of the substrate and/or the matting material. Evaluations of these important validation parameters were performed.

The research discussed in this paper revealed a strong correlation between the anti-oxidation performance of engine oils and sludge production. The results of NOx bubbling tests and engine bench tests showed that the main factors in the deterioration of anti-oxidation performance are heat, air, NOx, and unburnt fuel. Detailed analysis indicated that the rate of deterioration of anti-oxidation performance could be expressed as formulas. The use of these deterioration rate formulas to calculate the deterioration in anti-oxidation performance in a real engine showed that the formulas could be employed in a monitoring system. The use of these estimation methods of oil anti-oxidation performance by the engine control unit (ECU) would enable onboard estimation of oil deterioration.

In order to acquire low fuel consumption while the engine is running at low speeds and maintain the high power output of the traditional 4-valve engine at high speeds, multiple camshafts were applied in gasoline engines. An engine cycle simulation process of a gasoline engine with multiple camshaft profiles was presented in this paper. Engine cycle models were set up to describe external characteristic at 14 different speeds. A one-dimension model was used to describe the transient heat and mass transfer in pipes of the gasoline engine. In-cylinder combustion model was calibrated by engine test results. The simulation results showed a good agreement with engine testing results. Simulation and experimental research showed the volumetric efficiency and torque were low from 2500rpm to 3500rpm. Some parametrical study was presented for performance improvement of intermediate speeds, including changing induction-pipe length and putting off multiple camshafts shift.

Hydrocarbon permeation is one of the remaining main sources of vehicle evaporative hydrocarbon emission. However, very little information exists on the role of fuel properties on permeation losses. Therefore, experimental and modeling studies were conducted to determine the relationships between hydrocarbon permeation through HDPE (high density polyethylene) and fuel properties. Half-gallon HDPE bottles without EVOH were used in this study, because they were easily available and because steady state permeation can be measured in a matter of few days instead of several months in the case of HDPE/EVOH bottles. A permeation equation was developed using both theory and experimental data, which shows that permeation increases exponentially with fuel aromatic content, increases linearly with fuel RVP, and increases exponentially with temperature. The equation is useful for predicting how fuel and ambient temperature affect hydrocarbon permeation through vehicle fuel system.

This work provides an effective engineering method of building a part-load engine simulation model from a wide-open throttle (WOT) engine model and available dynamometer data. It shows how to perform part-load engine simulation using optimizer for targeted manifold absolute air pressure (MAP) on a basic matrix of engine speed and MAP. Key combustion parameters were estimated to cover the entire part-load region based on affordable assumptions and limitations. Engine rubbing friction and pumping friction were combined to compare against the motoring torque. The emission data from GM dynamometer laboratory were used to compare against engine simulation results after attaching the RLT sensor to record emission data in the engine simulation model.

Homogeneous Charge Compression Ignition (HCCI) combustion has the potential to produce low NOx and low particulate matter (PM) emissions while providing high efficiency. In HCCI combustion, the start of auto-ignition of premixed fuel and air depends on temperature, pressure, concentration history during the compression stroke, and the unique reaction kinetics of the fuel/air mixture. For these reasons, the choice of fuel has a significant impact on both engine design and control strategies. In this paper, ten (10) gasoline-like testing fuels, statistically representative of blends of four blending streams that spanned the ranges of selected fuel properties, were tested in a single cylinder engine equipped with a hydraulic variable valve train (VVT) and gasoline direct injection (GDI) system.

The ignition delay times of primary reference fuel (PRF) and toluene mixtures have been measured behind the reflected shock waves. The range of experiments covered combustion of fuel in diluted argon for stoichiometric mixtures, pressures of 2.5 atm, temperatures from 1200-1600 K, 0.4% of fuel concentration. The ignition delay times of n-heptane increased with the addition of toluene. However the ignition delay times of iso-octane decreased with the addition of toluene from 0 to 50% and increased from 50 to 100%. A detailed kinetic model with cross reactions considered in this study can not reproduce the trend of ignition delay times for iso-octane/toluene mixtures. From the reaction path analysis, it was suggested that cross reactions between alkenes and aromatics are required to account for these experimental results.

This paper describes the applicable and capability of neural network as an artificial intelligence tool to determine the performance and emissions in a compressed natural gas direct injection (CNG-DI) engine. A feed-forward back-propagation artificial neural network (BPANN) approach is explored to predict the combustion performance in the term of indicated power and emissions in the appearance of CO and NO emissions level. A series of numerical computations by mean of computational fluid dynamics (CFD) code were carried out based on the statistics-based design of experiment method. The data for combustion process under various engine operating parameters at the fixed speed at 1000 rpm were obtained to train the developed artificial neural network (ANN).

Ford Motor Company is researching and developing multiple propulsion strategies which include advanced gasoline engines, clean diesel, flexible fuel (ethanol blends up to E-85), hybrids and hydrogen propulsion, both in internal combustion (IC) engines and fuel cells. Hydrogen utilized as a transportation fuel is viewed as a long term solution as it is sustainable and clean when derived from renewable resources. The development and use of hydrogen IC engine (H2ICE) technology can readily be utilized to drive the transition strategy from the petroleum economy to the hydrogen economy. Because the “more conventional” H2ICE systems can be brought to market more quickly and in higher volume, business initiatives for hydrogen fueling infrastructure and other hydrogen complimentary required technologies can be realized sooner. To that end Ford has fully re-engineered a 6.8L Triton V-10 engine to run on hydrogen and power an E-450 shuttle van.

One-dimensional simulation tools are used extensively in the automotive industry to improve and optimize engine design for WOT performance. They are useful in target setting and in assessing the effects of certain design changes (e.g. intake manifold, valve timing, exhaust manifold, etc.). Generally the inputs to these models are “nominal” values or curves from a particular set of data and, therefore, do not take into account design or assembly variations. Often times, performance expectations are not met due to these “real world” effects and may result in significant re-design and testing efforts. The purpose of this paper is to assess the impact of typical model input variation on engine performance and to instill greater confidence in the use of these models in forecasting performance. The approach taken is to collect, analyze, and categorize actual build measurements from a 4.6L 4V Ford engine that are considered important inputs for a one-dimensional modeling.

The poisoning of three way catalysts (TWC) by the phosphorus contained in oil formulations containing zinc dialkyldithiophosphate (ZDDP) is examined. Catalysts were exposed to various types of ZDDP and detergents under conditions that were known to reduce performance through phosphorus poisoning without the blocking of sites by formation of glazing. The presence of phosphorus was detected with energy dispersive x-ray spectroscopy (EDX). In addition to analyzing the surface concentration of the phosphorus on the washcoat, the catalyst was cross cut so phosphorus that diffused into the washcoat could be mapped. The total phosphorus in the catalyst could then be calculated. The amount of total phosphorus detected correlated well with the reduced activity of the catalyst as measured by the temperature of 50% conversion.

An engine test has been developed to assess the impact of volatile phosphorus from passenger car engine oils on catalytic converter efficiency. The ten-day, steady-state, catalyst aging test was established to promote the production and consumption of volatile phosphorus species contained in crankcase vapors that are evacuated and combusted via the PCV system. A system for sampling, analyzing and identifying crankcase vapors led to a greater understanding of the phosphorus-based poisoning mechanism. Catalytic converter conversion efficiency was assessed through an engine-based system that swept catalyst inlet temperature from low to high while using a constant flow of controlled exhaust gas. The test results indicate correct ranking of field-tested oils that have catalyst poisoning data.

The particulate matters (PM) containing in the exhaust gas through a CI engine affects strongly the human health. Thus, it is very significant to measure the mechanism of PM itself generation for actualization of a clean CI engine. On the standpoint mentioned above, the authors carried out the experiments of the characteristics of PM generated from a small high speed DI CI engine with a single cylinder. The variables were the equivalence ratio, the injection timing, the EGR rate and the sort of fuel. As a result, the effect of experimental condition on the distribution of PM is clear through experiments.

The effects of variable compression ratio (CR) and fuel composition on thermal efficiency were investigated in a homogeneous charge compression ignition (HCCI) engine using blends of n-heptane and toluene with research octane numbers (RON) of 0 to 90. Experiments were conducted by performing CR sweeps at multiple intake temperatures using both unthrottled operation, and constant Φ conditions by throttling to compensate for varying air density. It was found that CR is effective at changing and controlling the HCCI combustion phasing midpoint, denoted here as CA 50. Thermal efficiency was a strong function of CA 50, with overly advanced CA 50 leading to efficiency decreases. Increases in CR at a constant CA 50 for a given fuel composition did, in most cases, increase efficiency, but the relationship was weaker than the dependence of efficiency on CA 50.

Newly designed laboratory measurement system, which reproduces particle number size distributions of both nuclei and accumulation mode particles in exhaust emissions, was developed. It enables continuous measurement of nano particle emissions in the size range between 5 and 1000 nm. Evaluations of particle number size distributions were conducted for diesel vehicles with a variety of emission aftertreatment devices and for gasoline vehicles with different combustion systems. For diesel vehicles, Diesel Oxidation Catalyst (DOC), urea-Selective Catalytic Reduction (urea-SCR) system and catalyzed Diesel Particulate Filter (DPF) were evaluated. For gasoline vehicles, Lean-burn Direct Injection Spark Ignition (DISI), Stoichiometric DISI and Multi Point Injection (MPI) were evaluated. Japanese latest transient test cycles were used for the evaluation: JE05 mode driving cycle for heavy duty vehicles and JC08 mode driving cycle for light duty vehicles.

For the evaluation of environment load from vehicles under road driving condition, on-board measurement system with the ability to measure emission concentration, engine conditions and vehicle conditions is necessary. These days, with the advancement of measurement technology, on-board exhaust gas analyzers have been developed, and it is now possible to measure the volume emission of exhaust gas using these analyzers. However, it is important to evaluate the mass emission from vehicles. For the conversion from the volume emission to the mass emission, the value of exhaust flow rate is required. However, the measurement method of exhaust flow rate with high accuracy has not been established. In this study, the measurement method of exhaust gas flow rate, the Map Method, was investigated for gasoline vehicles.

Crosscheck tests of fast electrical mobility spectrometers, Differential Mobility Spectroscopy (DMS) and Engine Exhaust Particle Sizer(EEPS), were conducted to evaluate the accuracy of fine particle measurement. Two kinds of particles were used as test particles for the crosscheck test of instruments: particles emitted from diesel vehicles and diluted in a full dilution tunnel, and particles generated by CAST. In the steady state tests, it was confirmed that the average concentration of each instrument was within the range of ±2σ from the average concentration of all the same type of instruments. In the transient tests, it is verified that the instruments have almost equal sensitivity. For application of the fast electrical mobility spectrometers to evaluation of particle number and size distributions, it is essential to develop a calibration method using reference particle counters and sizers (CPC, SMPS, etc.) and maintenance methods appropriate for each model.

In order to clarify future automobile technologies and fuel qualities to improve air quality, second phase of Japan Clean Air Program (JCAPII) had been conducted from 2002 to 2007. Predicting improvement in air quality that might be attained by introducing new emission control technologies and determining fuel qualities required for the technologies is one of the main issues of this program. Unregulated material WG of JCAPII had studied unregulated emissions from gasoline and diesel engines. Eight gaseous hydrocarbons (HC), four Aldehydes and three polycyclic aromatic hydrocarbons (PAHs) were evaluated as unregulated emissions. Specifically, emissions of the following components were measured: 1,3-Butadiene, Benzene, Toluene, Xylene, Ethylbenzene, 1,3,5-Trimethyl-benzene, n-Hexane, Styrene as gaseous HCs, Formaldehyde, Acetaldehyde, Acrolein, Benzaldehyde as Aldehydes, and Benzo(a)pyrene, Benzo(b)fluoranthene, Benzo(k)fluoranthene as PAHs.