Search Results

A pioneering approach to implement transfer path analysis (TPA) is proposed in this paper through applying it to an automobile. We propose to use particle velocity as a measure of TPA, in addition to using sound pressure as a conventional measure for TPA. These two quantities together will give a comprehensive and complete definition of sound. Although sound pressure is a scalar, while particle velocity is a vector, it is also proposed that the same technique of the conventional sound pressure TPA should be independently applicable to each component of particle velocity vector. This has been experimentally verified with a study on our test box system. In this paper, we apply the proposed TPA to an actual vehicle to examine its applicability, advantages and limitations. The driving motor sound of a hybrid electric vehicle is chosen as the case study. A tri-axial particle velocity sensor which also measures sound pressure at the same point is utilized in the experiment.

To prevent the severe consequences of unsafe driving behaviors, it is crucial to monitor and analyze the state of the driver. Developing an effective driver state monitoring (DSM) systems is particularly challenging due to limited computation capabilities of embedded systems in automobiles and the need for finishing processing in real-time. However, most of the existing research work was conducted in a lab environment with expensive equipment while lacking in-car benchmarking and validation. In this paper, a DSM system that estimates driver's alertness and drowsiness level as well as performs emotion detection built with a cost-effective embedded system is presented. The proposed system consists of a mono camera that captures driver's facial image in real-time and a machine learning based detection algorithm that detects facial landmark points and use that information to infer driver's state.

Demand for predictive powertrain control is rapidly increasing with the recent advancement of Advanced Driving Assistance Systems (ADAS) and Autonomous Driving (AD). The full or semi-autonomous functions could be leveraged to realize better user acceptance as well as powertrain efficiency of the connected vehicle utilizing the proposed Drive Horizon. The sensors of automated driving provide perception of surrounding driving environment which is required to safely navigate the vehicle in real-world driving scenarios. The proposed Drive Horizon provides real-time forecast of driving environment that a vehicle will encounter during its entire travel. This paper summarizes the vehicle’s future speed prediction technique which is an integral part of Drive Horizon for optimized energy control of the vehicle. The prediction model has been developed that integrates information from multiple sources including vehicle GPS, traffic information and map data.

Gaseous and particle emissions from a gasoline direct injection (GDI) and a port fuel injection (PFI) vehicle were measured at various ambient temperatures (22°C, -7°C, -18°C). These vehicles were driven over the U.S. Federal Test Procedure 75 (FTP-75) and US06 Supplemental Federal Test Procedure (US06) on Tier 2 certification gasoline (E0) and 10% by volume ethanol (E10). Emissions were analyzed to determine the impact of ambient temperature on exhaust emissions over different driving conditions. Measurements on the GDI vehicle with a gasoline particulate filter (GPF) installed were also made to evaluate the GPF particle filtration efficiency at cold ambient temperatures. The GDI vehicle was found to have better fuel economy than the PFI vehicle at all test conditions. Reduction in ambient temperature increased the fuel consumption for both vehicles, with a much larger impact on the cold-start FTP-75 drive cycle observed than for the hot-start US06 drive cycle.

This study reports gaseous and particle (ultrafine and black carbon (BC)) emissions from a turbofan engine core on standard Jet A-1 and three alternative fuels, including 100% hydrothermolysis synthetic kerosene with aromatics (CH-SKA), 50% Hydro-processed Esters and Fatty Acid paraffinic kerosene (HEFA-SPK), and 100% Fischer Tropsch (FT-SPK). Gaseous emissions from this engine for various fuels were similar but significant differences in particle emissions were observed. During the idle condition, it was observed that the non-refractory mass fraction in the emitted particles were higher than during higher engine load condition. This observation is consistent for all test fuels. The 100% CH-SKA fuel was found to have noticeable reductions in BC emissions when compared to Jet A-1 by 28-38% by different BC instruments (and 7% in refractory particle number (PN) emissions) at take-off condition.

The exhaust emissions from small engines in general and marine engines in particular have come under scrutiny over the past few years as new exhaust emission regulations have been proposed and put into force. The standard method for exhaust emission sampling of outboard marine engines is to analyze raw exhaust in the exhaust manifold of the engine. In this study a total dilution sampling system for the gaseous emissions, similar to what is used for light and heavy duty vehicles and engines, and a separate water sampling method were used to evaluate the exhaust emissions from stock two and four stroke outboard marine engines.

This paper presents the emission characteristics of a HCCI engine operation using n-heptane. The experiments were conducted in a single cylinder Co-operative Fuel Research (CFR) engine equipped with an air-assist port fuel injector. The effects of intake temperature, air/fuel ratio, compression ratio, turbo-charging, and EGR rate on exhaust emissions were explored. The analysis of the exhaust gases included oxides of nitrogen (NOx), nitrous oxide (N2O), carbon monoxide (CO), total hydrocarbon (THC), and soot. The hydrocarbon species present in exhaust gases and their concentrations at several operating conditions were also characterized. The strategies to obtain low HC, CO and NOx emissions are presented and discussed. The approaches to effectively retard HCCI combustion phase without deteriorating combustion efficiency are examined. It was found that HCCI combustion produces extremely low soot and NOx emissions.

Gasoline-electric hybrid vehicle technology has been gaining widespread acceptance and has the potential to reduce emissions through reduced fuel consumption. In this study, particulate matter number and mass emission rates, organic and elemental carbon compositions, and number-based size distributions were measured from four gasoline-electric hybrid vehicles (2005 Ford Escape Hybrid, 2004 Toyota Prius, 2003 Honda Civic Hybrid, and 2000 Honda Insight). In addition, one small conventional gasoline vehicle (2002 SmartCar) was tested. The vehicles were driven over five driving cycles and at steady-state speeds of 40 and 80 km/h. Each test was performed at 20°C and at -18°C. Testing took place at the Environmental Science & Technology Centre of Environment Canada using conventional chassis dynamometer procedures. Average distance based emission rates are given for each vehicle under each test condition.

Fuel consumption and gaseous emission data (CO, NOx, THC, and CO2) are reported for four commercially available gasoline-electric hybrid vehicles and one conventional gasoline vehicle tested on a chassis dynamometer over five transient driving cycles (LA4, LA92, HWFET, NYCC, US06), and two steady state modes (40 and 80 km/h), at two ambient temperatures (20 °C, and -18 °C). All vehicles exhibited higher fuel consumption during transient cycles compared to steady-state modes. Cold ambient temperature had a more detrimental effect on fuel consumption rates of the hybrid vehicles compared to those of the conventional gasoline vehicle.

Engine performance has been investigated of currently gasoline powered passenger car engines converted to methanol and gasoline mixtures. A 4 cycle, 4 cylinder, 1.6 liter displacement engine for a conventional passenger car was tested varying the fueling condition. The mixing ratio of methanol to gasoline was changed from zero percent to one hundred percent, discreetly. Evaluation of engine performance was made to find the optimum air-fuel ratio and spark timing in each mixed fuel condition. It has been clarified that the stoichiometric air-fuel ratio in the mixed fuel can be determined by the mixing ratio P, as an expression of The MBT(minimum spark advance for the best torque) characteristics for each mixed fuel codition show that the large retardation of spark timing will be required for the higher mixture ratio fuels. Changes in characteristics of fuel supply and air-fuel ratio sensing devices were investigated experimentally.

This paper reports the results of a fuel economy and regulated emissions survey of 15 gasoline powered generators. Tests were conducted at Environment Canada's Emission Research and Measurement Division (ERMD) facilities in Ottawa. The generators ranged in output capacity from 0.9kW to 7.0kW maximum rated output (MRO). They were obtained from a variety of sources including commercial rental companies and from other Environment Canada Divisions. The generators were operated on summer grade commercial fuel over a 6 mode test cycle when possible. The testing was designed to mimic the certification test the engines would undergo in an engine dynamometer test configuration with the exception that the loading was simulated by a load bank connected to the generators electrical output(s).

This paper proposes a new development method for highly reliable real-time embedded control systems using a CPU model-based hardware/software co-simulation. We take an approach that allows the full simulation of the virtual mechanical control system including CPU and object code level software. In this paper, Renesas SH-2A microcontroller model was developed on CoMET™ platform from VaST Systems Technology. A ETC (Electronic Throttle Control) system and engine control system were chosen to prove this concept. The ETB (Electronic Throttle Body) model on Saber® simulator from Synopsys® or engine model on MATLAB®/Simulink® simulator from MathWorks can be simulated with the SH-2A model. To help the system design, debug and evaluation, we developed an integrated behavior analyzer, which can display CPU behavior graphically during the simulation without affecting the simulation result, such as task level CPU load, interrupt statistics, software variable transition chart, and so on.

In this research, the feasibility of FSW dissimilar magnesium alloys was investigated. Specifically, die cast MRI-153M and wrought AZ31 were butt-welded. The effects of weld parameters such as tool rotation and weld speed on the weld quality have been characterized in terms of macrostructure, microstructure, hardness profile as well as tensile strength. A relatively wide FSW process window exists to achieve void-free welds. In the stir zone MRI-153M transforms from cast structure to fine grain structure during FSW, while AZ31 transforms from originally twinned grains to equi-axed grains without twins. MRI-153M in the stir zone becomes stronger than the base metal and the stir zone on the AZ31 side becomes weaker than the base metal. Tensile coupons failed in the base metal of MRI-153M, and the tensile strength was found to depend on the quality of the base metal of MRI-153M.

Friction stir welding (FSW) shows advantages for joining lightweight alloys for automotive applications. In this research, the feasibility of friction stir welding aluminum for an automotive component application was studied. The objective of this research was to improve the Friction Stir Spot Welding (FSSW) technique used to weld an aluminum closure panel (CP). The spot welds were made using the newly designed swing-FSSW technique. In a previous study (unpublished), the panel was welded from the thin to thick side using both an 8 mm and a 10 mm diameter tool. The 10 mm tool passed various fatigue tests; however, the target was to improve performance of the 8 mm tool, especially to increase the number of cycle before the first crack appearance during fatigue testing. In this study fatigue tests and static strength was recorded for weld specimens that were welded from thick-to-thin with an 8 mm diameter tool.

Selective catalytic reduction (SCR) technology is being considered as the potential strategy for significant reduction of NOx emissions from diesel engines. Many challenges exist in the development of an On-Road SCR retrofit system in terms of system integration and optimization of control strategy in order to achieve highest NOx reduction given the diversity of duty cycles. The main considered challenges are: - The development of a generic control strategy that would work for a broad range of engines, - Development of a reliable and durable injection system that would be able to withstand the harsh environments on a heavy-duty vehicle, - Packaging of the system to be able to fit on a number of vehicles with different configurations, - Controlling ammonia slip and assurance of reducing agent (Urea) availability and quality. In this study a prototype SCR system was evaluated over engine and chassis dynamometer test cycles.

The dependence of gasoline-electric hybrid vehicle energies on driving conditions and ambient temperature is presented for different drive cycles (2xLA4, 2xLA92, 2xUS06, HWFET and 2xNYCC) and temperatures (20°C and -18°C). The tests were carried out at the Emissions Research and Measurement Division of Environment Canada. Hybrid battery pack current was measured at a frequency of 10 Hz. Regenerative braking energy, charging energy from the engine and battery discharge energy were estimated by using modal speed. The magnitudes of battery energies were found to be directly related to drive cycle properties. Battery discharge energy was very strongly correlated to emission factors of CO₂, while energy recovered by regenerative braking and charging energy from the engine had low to very strong correlations to CO₂ emission factors. CO, NOx and HC had low linear correlations to battery discharge energy.

For this work, a methodology of modeling and predicting fuel consumption in a hybrid vehicle as a function of the engine operating temperature has been developed for cold ambient operation (-7°C, 266°K). This methodology requires two steps: 1) development of a temperature dependent engine brake specific fuel consumption (BSFC) map, and, 2) a data-fitting technique for predicting engine temperature to be used as an input to the temperature dependent BSFC maps. For the first step, response surface methodology (RSM) techniques were applied to generate brake specific fuel consumption (BSFC) maps as a function of the engine thermal state. For the second step, data fitting techniques were also used to fit a simplified lumped capacitance heat transfer model using several experimental datasets. Utilizing these techniques, an analysis of fuel consumption as a function of thermal state across a broad range of engine operating conditions is presented.

Particulate emission from diesel engines is one of the most important pollutants in urban areas. As a result, particulate emission control from urban bus diesel engines using particle filter technology is being evaluated at several locations in the US. A project entitled “Clean Diesel Demonstration Program” has been initiated by NY City Transit under the supervision of NY State DEC and with active participation from several industrial partners. Under this program, several NY City transit buses with DDC Series 50 engines have been equipped with continuously regenerating diesel particulate filter system and are operating with ultra low sulfur diesel (< 30 ppm S) in transit service in Manhattan since February 2000. These buses are being evaluated over a 8-9 month period for operations, maintainability and durability of the particulate filter.

This paper will present emissions durability data from an underground mining vehicle equipped with diesel particulate filter technology, which was followed over 4000 hrs on a Detroit Diesel Series 60 engine. The twin particulate filter system is catalyzed using a base metal formulation on cordierite wall flow monoliths. After the durability accumulation, the recovered filters were individually emissions tested on a Detroit Diesel Series 50 engine over the ISO 8178 test cycle. Performance, maintenance and emissions issues pertaining to base metal catalysts will be discussed.

A new hydrogen flow sensor was designed and evaluated based on the concept of hot wire anemometry. This sensor is designed to measure the mass flow rate of hydrogen gas used in (but not limited to) proton exchange fuel cell, PEFC. The conceptual evaluation was initiated by deriving an electro-thermal model of the hot wire required for sensing hydrogen velocity. The modeling is done via a mechatronics software tool, Saber™. This model was validated using air as a medium. Simulated and experimental performance results and safety issues are presented and discussed in this paper. Fail safe methods and effectiveness have been investigated along with hydrogen ignition temperatures with varying hydrogen to air ratio.